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Hacking Artificial Intelligence
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Book Synopsis Hacking Artificial Intelligence by : Davey Gibian
Download or read book Hacking Artificial Intelligence written by Davey Gibian and published by Rowman & Littlefield. This book was released on 2022-05-05 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sheds light on the ability to hack AI and the technology industry’s lack of effort to secure vulnerabilities. We are accelerating towards the automated future. But this new future brings new risks. It is no surprise that after years of development and recent breakthroughs, artificial intelligence is rapidly transforming businesses, consumer electronics, and the national security landscape. But like all digital technologies, AI can fail and be left vulnerable to hacking. The ability to hack AI and the technology industry’s lack of effort to secure it is thought by experts to be the biggest unaddressed technology issue of our time. Hacking Artificial Intelligence sheds light on these hacking risks, explaining them to those who can make a difference. Today, very few people—including those in influential business and government positions—are aware of the new risks that accompany automated systems. While society hurdles ahead with AI, we are also rushing towards a security and safety nightmare. This book is the first-ever layman’s guide to the new world of hacking AI and introduces the field to thousands of readers who should be aware of these risks. From a security perspective, AI is today where the internet was 30 years ago. It is wide open and can be exploited. Readers from leaders to AI enthusiasts and practitioners alike are shown how AI hacking is a real risk to organizations and are provided with a framework to assess such risks, before problems arise.
Book Synopsis Machine Learning for Hackers by : Drew Conway
Download or read book Machine Learning for Hackers written by Drew Conway and published by "O'Reilly Media, Inc.". This book was released on 2012-02-13 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you’re an experienced programmer interested in crunching data, this book will get you started with machine learning—a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation. Each chapter focuses on a specific problem in machine learning, such as classification, prediction, optimization, and recommendation. Using the R programming language, you’ll learn how to analyze sample datasets and write simple machine learning algorithms. Machine Learning for Hackers is ideal for programmers from any background, including business, government, and academic research. Develop a naïve Bayesian classifier to determine if an email is spam, based only on its text Use linear regression to predict the number of page views for the top 1,000 websites Learn optimization techniques by attempting to break a simple letter cipher Compare and contrast U.S. Senators statistically, based on their voting records Build a “whom to follow” recommendation system from Twitter data
Download or read book Hacking AI written by Hans Weber and published by . This book was released on 2021-05-25 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ever found yourself being fascinated by the idea of being able to hack into any system? While modern culture has pushed hacking to a screen-based villainous role that can do miracles, there is much more to hacking that remains untold. Hardly anyone feels it necessary to mention how hacking can be an illustrious career option. Similarly, the ease with which cyberattacks can be diverted often remains untold. Luckily for you, we're here to tell you all about it in a quick and simple guide that should let you enter the mind of a hacker. Never let yourself be at risk again! In this book, we will explore: -The different types of hackers and their purposes -How hacking works -The various steps in a hacking attack -Why networking and scripting so important in hacking -The different tools that are used in hacking -The different techniques hackers use to get to your data -How to keep yourself safe from cyber-attacks -The ins and outs of cybersecurity and how it aims to keep you safe -How your data is protected from hackers -How to ensure that your cybersecurity is adequate And much much more! So pull up your socks (or gloves if you prefer leaving no fingerprints behind) and get ready to explore the wondrous world of these cyber-geniuses through easy-to-read text and compelling descriptions that will immerse you within the world of scripts and codes. Learning about hacking has never been easier!
Book Synopsis Artificial Intelligence, Cybersecurity and Cyber Defence by : Daniel Ventre
Download or read book Artificial Intelligence, Cybersecurity and Cyber Defence written by Daniel Ventre and published by John Wiley & Sons. This book was released on 2020-12-15 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of the book is to analyse and understand the impacts of artificial intelligence in the fields of national security and defense; to identify the political, geopolitical, strategic issues of AI; to analyse its place in conflicts and cyberconflicts, and more generally in the various forms of violence; to explain the appropriation of artificial intelligence by military organizations, but also law enforcement agencies and the police; to discuss the questions that the development of artificial intelligence and its use raise in armies, police, intelligence agencies, at the tactical, operational and strategic levels.
Book Synopsis The Coming AI Hackers by : Bruce Schneier
Download or read book The Coming AI Hackers written by Bruce Schneier and published by . This book was released on 2021 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Artificial intelligence—AI—is an information technology. It consists of software. It runs on computers. And it is already deeply embedded into our social fabric, both in ways we understand and in ways we don’t. It will hack our society to a degree and effect unlike anything that’s come before. I mean this in two very different ways. One, AI systems will be used to hack us. And two, AI systems will themselves become hackers: finding vulnerabilities in all sorts of social, economic, and political systems, and then exploiting them at an unprecedented speed, scale, and scope. It’s not just a difference in degree; it’s a difference in kind. We risk a future of AI systems hacking other AI systems, with humans being little more than collateral damage. ... In this essay, I will talk about the implications of AI hackers. First, I will generalize “hacking” to include economic, social, and political systems—and also our brains. Next, I will describe how AI systems will be used to hack us. Then, I will explain how AIs will hack the economic, social, and political systems that comprise society. Finally, I will discuss the implications of a world of AI hackers, and point towards possible defenses. It’s not all as bleak as it might sound." -- Website.
Book Synopsis AI and Cyber Attacks: The Growing Threat of AI-Enhanced Hacking by : AQEEL AHMED
Download or read book AI and Cyber Attacks: The Growing Threat of AI-Enhanced Hacking written by AQEEL AHMED and published by AQEEL AHMED. This book was released on 2023-06-01 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI and Cyber Attacks: The Growing Threat of AI-Enhanced Hacking Introduction Artificial intelligence (AI) has transformed many industries, including cybersecurity. Rapid breakthroughs in artificial intelligence technology have created both opportunities and difficulties in the field of cybersecurity. While AI has enormous potential to improve security defenses and fight against cyber threats, it also poses major hazards when misused. Because of the confluence of AI and cyberattacks, a new breed of threats known as AI-enhanced hacking has emerged, which mixes AI algorithms and tactics with malicious intent. AI-enhanced hacking refers to hostile actors' use of AI and machine learning (ML) tools to increase the effectiveness, sophistication, and scope of cyberattacks. AI algorithms are being used by hackers to automate processes, boost attack success rates, elude detection, and circumvent security restrictions. Cybercriminals can substantially increase the effect and speed of their attacks by leveraging the capabilities of AI. For hackers, one of the most important benefits of AI is the capacity to launch more sophisticated and targeted attacks. AI systems can find vulnerabilities, build specialized attack methods, and adapt to changing protection mechanisms by analyzing massive volumes of data. Because of this sophistication, traditional security systems are finding it increasingly difficult to identify and resist AI-enhanced threats. AI algorithms can be used by hackers to undertake extensive reconnaissance, uncover system weaknesses, and launch precise and well-coordinated attacks. As a result, attack sophistication has increased, posing substantial problems for cybersecurity professionals. Furthermore, artificial intelligence enables hackers to automate many stages of an attack, from reconnaissance to exploitation and even post-exploitation activities. This automation enables attackers to undertake large-scale attacks, targeting several systems at the same time and improving their chances of success. Automated attacks present a big challenge to cybersecurity specialists, who must devise equally sophisticated protection systems to counter them. Hackers can save time and resources by automating their attacks while increasing their impact. Another significant benefit of AI for hackers is its ability to circumvent standard security measures and avoid discovery. In real-time, AI algorithms can evaluate trends, learn from previous attacks, and change defensive methods. Because of this adaptive behavior, attackers might go unnoticed for long periods of time, making it difficult for security analysts to identify and respond to threats quickly. AI-powered assaults can imitate legitimate user behavior, making it difficult to discern between legitimate and malicious activity. Hackers can extend their access to networks and collect critical information without alerting security measures by escaping detection. Another troubling element of AI-enhanced hacking is the weaponization of AI. As AI technology becomes more widely available, thieves can use them to develop stronger hacking tools. AI algorithms can be trained to generate convincing phishing emails, deepfake movies, and even replicate human behavior in order to circumvent multi-factor authentication systems. The weaponization of AI increases the potency of attacks and poses major hazards to individuals, organizations, and even governments. In the cybersecurity landscape, the potential for AI-powered assaults to deceive and manipulate users is becoming a significant worry. The growing threat of AI-enhanced hacking has necessitated the implementation of preventative measures to limit the hazards. To confront the shifting threat landscape, organizations and cybersecurity experts must adjust their protection measures. Advanced protection systems that use AI and machine learning can assist detect and respond to AI-enhanced threats more quickly, lessening the effect of possible breaches. AI-powered security systems can improve threat detection and response capabilities by monitoring network traffic, evaluating patterns, and recognizing anomalies in real-time. Collaboration between human expertise and AI technologies is also critical. AI can help cybersecurity professionals handle and analyze massive amounts of data, detect trends, and provide insights. Human specialists contribute critical thinking skills, contextual knowledge, and the capacity to make sound decisions in difficult situations. Organizations can develop a more effective security posture by combining human intuition and knowledge with AI's computational capabilities. In the development and deployment of Certainly! Ethical considerations are critical. There are various other factors to consider when it comes to AI and cyber-attacks, in addition to the ones described above. One critical issue is the continued need for AI-powered cybersecurity tool research and development. As AI-enhanced hacking techniques evolve, cybersecurity experts must stay on the cutting edge of technology. Continued research and development efforts can result in the development of creative technologies capable of detecting, preventing, and responding to AI-driven cyber-attacks. Collaboration and information sharing among cybersecurity specialists and companies are also critical. The cybersecurity community can collectively improve its ability to prevent AI-enhanced hacking by sharing knowledge, insights, and best practices. Collaborative initiatives such as information sharing platforms, industry conferences, and public-private partnerships can help to facilitate information flow and develop a collective defense against cyber threats. Furthermore, incorporating AI into threat intelligence can boost the ability to anticipate and respond to cyber-attacks dramatically. To identify prospective risks and deliver actionable insight, AI systems can scan enormous amounts of data, including previous attack patterns, new threats, and indicators of compromise. Organizations can proactively discover vulnerabilities, prioritize mitigation efforts, and improve incident response capabilities by employing AI in threat intelligence. End-user education and awareness are also critical in limiting the hazards of AI-enhanced hacking. Individuals must be educated on the risks posed by AI-driven cyber-attacks, such as phishing schemes, social engineering, and malware. Promoting cyber hygiene measures such as using strong passwords, being skeptical of questionable emails or links, and keeping software up to date can reduce the likelihood of falling victim to AI-powered assaults dramatically. Furthermore, legal frameworks and standards to control the development and deployment of AI technologies should be established. Governments and regulatory agencies can play an important role in establishing rules, verifying compliance, and encouraging the ethical use of AI in cybersecurity. These policies can address issues such as data privacy, algorithmic transparency, accountability, and ethical considerations, increasing trust in AI-powered cybersecurity solutions in the long run. AI has made important advances in a variety of fields, including cybersecurity. It does, however, introduce additional obstacles and threats, particularly in the form of AI-enhanced hacking. Organizations must adjust their protection methods and employ AI technology to identify, prevent, and respond to AI-driven assaults as they become more complex. Collaboration, continuing research, education, regulatory frameworks, and a team approach are critical in limiting risks and reaping the benefits of AI in cybersecurity. We can traverse the growing landscape of AI and cyber-attacks with confidence and resilience by remaining watchful, proactive, and always inventing. Artificial intelligence (AI) has surely altered various industries, including cybersecurity. The introduction of AI has created an enormous opportunity to strengthen security defenses against emerging threats. Organizations may improve their ability to detect and respond to threats in real time by leveraging the power of AI. However, the same qualities that make AI such a powerful asset in cybersecurity also offer major hazards when misused. Because of the convergence of AI and cyberattacks, a new species of risks known as AI-enhanced hacking has emerged, posing unprecedented challenges to the security landscape. AI-enhanced hacking refers to hostile actors' use of AI and machine learning techniques to increase the effectiveness, sophistication, and size of cyber-attacks. AI algorithms are being used by hackers to automate processes, boost attack success rates, elude detection, and circumvent security restrictions. This fusion of AI and hacking methodologies has significant ramifications for cybersecurity experts and companies. The implications of AI-enhanced hacking are wide-ranging and frightening. For starters, AI enables hackers to conduct more sophisticated attacks. AI systems can find vulnerabilities, build specialized attack methods, and adapt to changing protection mechanisms by analyzing massive volumes of data. Because of this sophistication, traditional security systems are finding it increasingly difficult to identify and resist AI-enhanced assaults successfully. Furthermore, AI enables unparalleled scale of automated attacks. AI algorithms can be used by hackers to automate many stages of an attack, from reconnaissance to exploitation and even post-exploitation. Because of this automation, attackers can target several systems at the same time, boosting their chances of success. The ability to launch automated attacks presents a big challenge for cybersecurity professionals, who must create similarly advanced protection measures to properly counter them. Another major problem is AI's ability to avoid discovery. AI algorithms are being used by hackers to detect trends, learn from previous attacks, and change defensive methods in real-time. Because of this adaptive behavior, attackers might go unnoticed for long periods of time, making it difficult for security analysts to identify and respond to threats quickly. Furthermore, the weaponization of AI increases the effectiveness of strikes while posing significant hazards. As AI technology becomes more widely available, thieves can use them to develop stronger hacking tools. AI algorithms can be trained to generate convincing phishing emails, deepfake movies, and even replicate human behavior in order to circumvent multi-factor authentication systems. The ability to weaponize AI raises the effect and possible harm caused by hacks dramatically. Several efforts can be made to reduce the hazards posed by AI-enhanced hacking. First and foremost, enterprises must invest in modern defense mechanisms that employ AI and machine learning. Organizations may monitor network traffic, analyze patterns, and detect anomalies in real time by using AI-powered security solutions. This proactive approach can assist in detecting and responding to attacks more quickly, limiting the effect of possible breaches. Furthermore, human-AI collaboration is critical in preventing AI-enhanced hacking. While AI is powerful, human expertise is also necessary. To increase threat intelligence and response, organizations should encourage collaboration between cybersecurity specialists and AI systems. A more effective defense posture can be built by combining human intuition and contextual knowledge with AI's computational skills. In tackling the issue of AI-enhanced hacking, ethical considerations and responsible use of AI are critical. Governments, organizations, and technology suppliers should collaborate to develop guidelines for the ethical use of AI in cybersecurity. Transparency, accountability, and privacy should be prioritized in AI development and deployment. As AI evolves at a rapid pace, continuous monitoring and training of AI systems is critical. To remain abreast of new assault strategies, regular assessments and upgrades are required. Organizations should also invest in employee training programs to educate users about the potential threats of AI-enhanced hacking, as well as how to spot and respond to them.
Book Synopsis Hands-On Artificial Intelligence for Cybersecurity by : Alessandro Parisi
Download or read book Hands-On Artificial Intelligence for Cybersecurity written by Alessandro Parisi and published by Packt Publishing Ltd. This book was released on 2019-08-02 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build smart cybersecurity systems with the power of machine learning and deep learning to protect your corporate assets Key FeaturesIdentify and predict security threats using artificial intelligenceDevelop intelligent systems that can detect unusual and suspicious patterns and attacksLearn how to test the effectiveness of your AI cybersecurity algorithms and toolsBook Description Today's organizations spend billions of dollars globally on cybersecurity. Artificial intelligence has emerged as a great solution for building smarter and safer security systems that allow you to predict and detect suspicious network activity, such as phishing or unauthorized intrusions. This cybersecurity book presents and demonstrates popular and successful AI approaches and models that you can adapt to detect potential attacks and protect your corporate systems. You'll learn about the role of machine learning and neural networks, as well as deep learning in cybersecurity, and you'll also learn how you can infuse AI capabilities into building smart defensive mechanisms. As you advance, you'll be able to apply these strategies across a variety of applications, including spam filters, network intrusion detection, botnet detection, and secure authentication. By the end of this book, you'll be ready to develop intelligent systems that can detect unusual and suspicious patterns and attacks, thereby developing strong network security defenses using AI. What you will learnDetect email threats such as spamming and phishing using AICategorize APT, zero-days, and polymorphic malware samplesOvercome antivirus limits in threat detectionPredict network intrusions and detect anomalies with machine learningVerify the strength of biometric authentication procedures with deep learningEvaluate cybersecurity strategies and learn how you can improve themWho this book is for If you’re a cybersecurity professional or ethical hacker who wants to build intelligent systems using the power of machine learning and AI, you’ll find this book useful. Familiarity with cybersecurity concepts and knowledge of Python programming is essential to get the most out of this book.
Book Synopsis Cyber Defence in the Age of AI, Smart Societies and Augmented Humanity by : Hamid Jahankhani
Download or read book Cyber Defence in the Age of AI, Smart Societies and Augmented Humanity written by Hamid Jahankhani and published by Springer Nature. This book was released on 2020-04-06 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: This publication highlights the fast-moving technological advancement and infiltration of Artificial Intelligence into society. Concepts of evolution of society through interconnectivity are explored, together with how the fusion of human and technological interaction leading to Augmented Humanity is fast becoming more than just an endemic phase, but a cultural phase shift to digital societies. It aims to balance both the positive progressive outlooks such developments bring with potential issues that may stem from innovation of this kind, such as the invasive procedures of bio hacking or ethical connotations concerning the usage of digital twins. This publication will also give the reader a good level of understanding on fundamental cyber defence principles, interactions with Critical National Infrastructure (CNI) and the Command, Control, Communications and Intelligence (C3I) decision-making framework. A detailed view of the cyber-attack landscape will be garnered; touching on the tactics, techniques and procedures used, red and blue teaming initiatives, cyber resilience and the protection of larger scale systems. The integration of AI, smart societies, the human-centric approach and Augmented Humanity is discernible in the exponential growth, collection and use of [big] data; concepts woven throughout the diversity of topics covered in this publication; which also discusses the privacy and transparency of data ownership, and the potential dangers of exploitation through social media. As humans are become ever more interconnected, with the prolificacy of smart wearable devices and wearable body area networks, the availability of and abundance of user data and metadata derived from individuals has grown exponentially. The notion of data ownership, privacy and situational awareness are now at the forefront in this new age.
Author :National Academies of Sciences, Engineering, and Medicine Publisher :National Academies Press ISBN 13 :0309494508 Total Pages :99 pages Book Rating :4.3/5 (94 download)
Book Synopsis Implications of Artificial Intelligence for Cybersecurity by : National Academies of Sciences, Engineering, and Medicine
Download or read book Implications of Artificial Intelligence for Cybersecurity written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2020-01-27 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, interest and progress in the area of artificial intelligence (AI) and machine learning (ML) have boomed, with new applications vigorously pursued across many sectors. At the same time, the computing and communications technologies on which we have come to rely present serious security concerns: cyberattacks have escalated in number, frequency, and impact, drawing increased attention to the vulnerabilities of cyber systems and the need to increase their security. In the face of this changing landscape, there is significant concern and interest among policymakers, security practitioners, technologists, researchers, and the public about the potential implications of AI and ML for cybersecurity. The National Academies of Sciences, Engineering, and Medicine convened a workshop on March 12-13, 2019 to discuss and explore these concerns. This publication summarizes the presentations and discussions from the workshop.
Download or read book Hacking Healthcare written by Tom Lawry and published by CRC Press. This book was released on 2022-07-20 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this original work, Tom Lawry takes readers on a journey of understanding what we learned from fighting a global pandemic and how to apply these learnings to solve healthcare's other big challenges. This book is about empowering clinicians and consumers alike to take control of what is important to them by harnessing the power of AI and the Intelligent Health Revolution to create a sustainable system that focuses on keeping all citizens healthy while caring for them when they are not.
Book Synopsis Summary of Bruce Schneier's A Hacker's Mind by : Milkyway Media
Download or read book Summary of Bruce Schneier's A Hacker's Mind written by Milkyway Media and published by Milkyway Media. This book was released on 2024-01-18 with total page 22 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get the Summary of Bruce Schneier's A Hacker's Mind in 20 minutes. Please note: This is a summary & not the original book. Bruce Schneier's "A Hacker's Mind" delves into the concept of hacking as a sophisticated form of exploitation within the boundaries of a system's rules, often for personal gain. Schneier, a security expert, explores how hacking extends beyond the digital realm to economic, political, and social systems, exploiting their inherent vulnerabilities and weaknesses. He defines a hack as the combination of a vulnerability and an exploit, with roles including the hacker, the user, and the beneficiary...
Book Synopsis Mastering hacking with AI by : Kris Hermans
Download or read book Mastering hacking with AI written by Kris Hermans and published by Cybellium Ltd. This book was released on with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the rapidly evolving world of cybersecurity, the intersection of hacking and artificial intelligence (AI) has become an arena of immense potential. "Mastering Hacking with AI" by Kris Hermans is your comprehensive guide to harnessing the power of AI for ethical hacking purposes. This groundbreaking book takes you on a transformative journey, equipping you with the knowledge and skills to master the fusion of hacking and AI. Inside this groundbreaking book, you will: Explore the core principles of hacking and AI, including machine learning techniques, natural language processing, anomaly detection, and adversarial attacks, enabling you to develop advanced hacking strategies. Gain hands-on experience through real-world examples, step-by-step tutorials, and AI-driven tools, allowing you to apply AI techniques to identify vulnerabilities, automate penetration testing, and enhance threat intelligence. Understand the ethical implications of AI-driven hacking and learn how to responsibly use AI for cybersecurity purposes, adhering to legal and ethical frameworks. Stay ahead of the curve with discussions on emerging trends in AI and their impact on cybersecurity, such as AI-powered defences, deepfake detection, and autonomous threat hunting.
Book Synopsis Gray Hat Hacking A.I. by : Zer0 Craig
Download or read book Gray Hat Hacking A.I. written by Zer0 Craig and published by Independently Published. This book was released on 2024-08-21 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book delves into the dark side of artificial intelligence, revealing how modern AI systems can be targeted, exploited, and manipulated by malicious actors. This comprehensive guide is an essential resource for cybersecurity professionals, ethical hackers, and AI developers seeking to understand the evolving threats posed by AI-driven technologies. From exploring the vulnerabilities of AI systems to illustrating real-world hacking techniques with hands-on examples and code, this book covers everything from data poisoning, adversarial attacks, and prompt injections to large-scale automated assaults using AI-powered botnets. Each chapter uncovers how attackers manipulate AI systems while also offering defense strategies and tools to mitigate these risks. Designed for those with a deep understanding of cybersecurity, Gray Hat Hacking AI brings clarity to the intricate relationship between AI and security, providing readers with the knowledge needed to stay ahead of potential threats. Ethical hacking principles are emphasized throughout, with clear warnings against illegal activities. Whether you're securing AI systems or exploring the latest trends in cyber threats, this book is your definitive guide to mastering the offensive and defensive sides of AI hacking. Disclaimer: This book is intended for educational and ethical purposes only. The misuse of the information provided is solely the responsibility of the reader.
Book Synopsis Exploring Malicious Hacker Communities by : Ericsson Marin
Download or read book Exploring Malicious Hacker Communities written by Ericsson Marin and published by Cambridge University Press. This book was released on 2021-04-29 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Malicious hackers utilize the World Wide Web to share knowledge. Analyzing the online communication of these threat actors can help reduce the risk of attacks. This book shifts attention from the defender environment to the attacker environment, offering a new security paradigm of 'proactive cyber threat intelligence' that allows defenders of computer networks to gain a better understanding of their adversaries by analyzing assets, capabilities, and interest of malicious hackers. The authors propose models, techniques, and frameworks based on threat intelligence mined from the heart of the underground cyber world: the malicious hacker communities. They provide insights into the hackers themselves and the groups they form dynamically in the act of exchanging ideas and techniques, buying or selling malware, and exploits. The book covers both methodology - a hybridization of machine learning, artificial intelligence, and social network analysis methods - and the resulting conclusions, detailing how a deep understanding of malicious hacker communities can be the key to designing better attack prediction systems.
Book Synopsis Information Security Technologies for Controlling Pandemics by : Hamid Jahankhani
Download or read book Information Security Technologies for Controlling Pandemics written by Hamid Jahankhani and published by Springer Nature. This book was released on 2021-07-29 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: The year 2020 and the COVID-19 pandemic marked a huge change globally, both in working and home environments. They posed major challenges for organisations around the world, which were forced to use technological tools to help employees work remotely, while in self-isolation and/or total lockdown. Though the positive outcomes of using these technologies are clear, doing so also comes with its fair share of potential issues, including risks regarding data and its use, such as privacy, transparency, exploitation and ownership. COVID-19 also led to a certain amount of paranoia, and the widespread uncertainty and fear of change represented a golden opportunity for threat actors. This book discusses and explains innovative technologies such as blockchain and methods to defend from Advanced Persistent Threats (APTs), some of the key legal and ethical data challenges to data privacy and security presented by the COVID-19 pandemic, and their potential consequences. It then turns to improved decision making in cyber security, also known as cyber situational awareness, by analysing security events and comparing data mining techniques, specifically classification techniques, when applied to cyber security data. In addition, the book illustrates the importance of cyber security, particularly information integrity and surveillance, in dealing with an on-going, infectious crisis. Aspects addressed range from the spread of misinformation, which can lead people to actively work against measures designed to ensure public safety and minimise the spread of the virus, to concerns over the approaches taken to monitor, track, trace and isolate infectious cases through the use of technology. In closing, the book considers the legal, social and ethical cyber and information security implications of the pandemic and responses to it from the perspectives of confidentiality, integrity and availability.
Book Synopsis AI in Cybersecurity by : Leslie F. Sikos
Download or read book AI in Cybersecurity written by Leslie F. Sikos and published by Springer. This book was released on 2018-09-17 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a collection of state-of-the-art AI approaches to cybersecurity and cyberthreat intelligence, offering strategic defense mechanisms for malware, addressing cybercrime, and assessing vulnerabilities to yield proactive rather than reactive countermeasures. The current variety and scope of cybersecurity threats far exceed the capabilities of even the most skilled security professionals. In addition, analyzing yesterday’s security incidents no longer enables experts to predict and prevent tomorrow’s attacks, which necessitates approaches that go far beyond identifying known threats. Nevertheless, there are promising avenues: complex behavior matching can isolate threats based on the actions taken, while machine learning can help detect anomalies, prevent malware infections, discover signs of illicit activities, and protect assets from hackers. In turn, knowledge representation enables automated reasoning over network data, helping achieve cybersituational awareness. Bringing together contributions by high-caliber experts, this book suggests new research directions in this critical and rapidly growing field.
Book Synopsis The Sentient Machine by : Amir Husain
Download or read book The Sentient Machine written by Amir Husain and published by Simon and Schuster. This book was released on 2017-11-21 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explores universal questions about humanity's capacity for living and thriving in the coming age of sentient machines and AI, examining debates from opposing perspectives while discussing emerging intellectual diversity and its potential role in enabling a positive life.
