Large Language Models In Cybersecurity

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Large Language Models in Cybersecurity

Author : Andrei Kucharavy
Publisher : Springer Nature
ISBN 13 : 3031548272
Total Pages : 249 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Large Language Models in Cybersecurity by : Andrei Kucharavy

Download or read book Large Language Models in Cybersecurity written by Andrei Kucharavy and published by Springer Nature. This book was released on 2024 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book provides cybersecurity practitioners with the knowledge needed to understand the risks of the increased availability of powerful large language models (LLMs) and how they can be mitigated. It attempts to outrun the malicious attackers by anticipating what they could do. It also alerts LLM developers to understand their work's risks for cybersecurity and provides them with tools to mitigate those risks. The book starts in Part I with a general introduction to LLMs and their main application areas. Part II collects a description of the most salient threats LLMs represent in cybersecurity, be they as tools for cybercriminals or as novel attack surfaces if integrated into existing software. Part III focuses on attempting to forecast the exposure and the development of technologies and science underpinning LLMs, as well as macro levers available to regulators to further cybersecurity in the age of LLMs. Eventually, in Part IV, mitigation techniques that should allowsafe and secure development and deployment of LLMs are presented. The book concludes with two final chapters in Part V, one speculating what a secure design and integration of LLMs from first principles would look like and the other presenting a summary of the duality of LLMs in cyber-security. This book represents the second in a series published by the Technology Monitoring (TM) team of the Cyber-Defence Campus. The first book entitled "Trends in Data Protection and Encryption Technologies" appeared in 2023. This book series provides technology and trend anticipation for government, industry, and academic decision-makers as well as technical experts.

Implications of Artificial Intelligence for Cybersecurity

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)

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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.

Hands-On Machine Learning for Cybersecurity

Author : Soma Halder
Publisher : Packt Publishing Ltd
ISBN 13 : 178899096X
Total Pages : 306 pages
Book Rating : 4.7/5 (889 download)

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Book Synopsis Hands-On Machine Learning for Cybersecurity by : Soma Halder

Download or read book Hands-On Machine Learning for Cybersecurity written by Soma Halder and published by Packt Publishing Ltd. This book was released on 2018-12-31 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get into the world of smart data security using machine learning algorithms and Python libraries Key FeaturesLearn machine learning algorithms and cybersecurity fundamentalsAutomate your daily workflow by applying use cases to many facets of securityImplement smart machine learning solutions to detect various cybersecurity problemsBook Description Cyber threats today are one of the costliest losses that an organization can face. In this book, we use the most efficient tool to solve the big problems that exist in the cybersecurity domain. The book begins by giving you the basics of ML in cybersecurity using Python and its libraries. You will explore various ML domains (such as time series analysis and ensemble modeling) to get your foundations right. You will implement various examples such as building system to identify malicious URLs, and building a program to detect fraudulent emails and spam. Later, you will learn how to make effective use of K-means algorithm to develop a solution to detect and alert you to any malicious activity in the network. Also learn how to implement biometrics and fingerprint to validate whether the user is a legitimate user or not. Finally, you will see how we change the game with TensorFlow and learn how deep learning is effective for creating models and training systems What you will learnUse machine learning algorithms with complex datasets to implement cybersecurity conceptsImplement machine learning algorithms such as clustering, k-means, and Naive Bayes to solve real-world problemsLearn to speed up a system using Python libraries with NumPy, Scikit-learn, and CUDAUnderstand how to combat malware, detect spam, and fight financial fraud to mitigate cyber crimesUse TensorFlow in the cybersecurity domain and implement real-world examplesLearn how machine learning and Python can be used in complex cyber issuesWho this book is for This book is for the data scientists, machine learning developers, security researchers, and anyone keen to apply machine learning to up-skill computer security. Having some working knowledge of Python and being familiar with the basics of machine learning and cybersecurity fundamentals will help to get the most out of the book

AI-Driven Cybersecurity andThreat Intelligence

Author : Iqbal H. Sarker
Publisher : Springer Nature
ISBN 13 : 3031544978
Total Pages : 207 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis AI-Driven Cybersecurity andThreat Intelligence by : Iqbal H. Sarker

Download or read book AI-Driven Cybersecurity andThreat Intelligence written by Iqbal H. Sarker and published by Springer Nature. This book was released on with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Foundational Cybersecurity Research

Author : National Academies of Sciences, Engineering, and Medicine
Publisher : National Academies Press
ISBN 13 : 0309455294
Total Pages : 105 pages
Book Rating : 4.3/5 (94 download)

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Book Synopsis Foundational Cybersecurity Research by : National Academies of Sciences, Engineering, and Medicine

Download or read book Foundational Cybersecurity Research written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2017-08-24 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: Attaining meaningful cybersecurity presents a broad societal challenge. Its complexity and the range of systems and sectors in which it is needed mean that successful approaches are necessarily multifaceted. Moreover, cybersecurity is a dynamic process involving human attackers who continue to adapt. Despite considerable investments of resources and intellect, cybersecurity continues to poses serious challenges to national security, business performance, and public well-being. Modern developments in computation, storage and connectivity to the Internet have brought into even sharper focus the need for a better understanding of the overall security of the systems we depend on. Foundational Cybersecurity Research focuses on foundational research strategies for organizing people, technologies, and governance. These strategies seek to ensure the sustained support needed to create an agile, effective research community, with collaborative links across disciplines and between research and practice. This report is aimed primarily at the cybersecurity research community, but takes a broad view that efforts to improve foundational cybersecurity research will need to include many disciplines working together to achieve common goals.

Challenges in Large Language Model Development and AI Ethics

Author : Gupta, Brij
Publisher : IGI Global
ISBN 13 :
Total Pages : 521 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Challenges in Large Language Model Development and AI Ethics by : Gupta, Brij

Download or read book Challenges in Large Language Model Development and AI Ethics written by Gupta, Brij and published by IGI Global. This book was released on 2024-08-15 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development of large language models has resulted in artificial intelligence advancements promising transformations and benefits across various industries and sectors. However, this progress is not without its challenges. The scale and complexity of these models pose significant technical hurdles, including issues related to bias, transparency, and data privacy. As these models integrate into decision-making processes, ethical concerns about their societal impact, such as potential job displacement or harmful stereotype reinforcement, become more urgent. Addressing these challenges requires a collaborative effort from business owners, computer engineers, policymakers, and sociologists. Fostering effective research for solutions to address AI ethical challenges may ensure that large language model developments benefit society in a positive way. Challenges in Large Language Model Development and AI Ethics addresses complex ethical dilemmas and challenges of the development of large language models and artificial intelligence. It analyzes ethical considerations involved in the design and implementation of large language models, while exploring aspects like bias, accountability, privacy, and social impacts. This book covers topics such as law and policy, model architecture, and machine learning, and is a useful resource for computer engineers, sociologists, policymakers, business owners, academicians, researchers, and scientists.

Cybersecurity Arm Wrestling

Author : Rafeeq Rehman
Publisher :
ISBN 13 :
Total Pages : 148 pages
Book Rating : 4.7/5 (331 download)

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Book Synopsis Cybersecurity Arm Wrestling by : Rafeeq Rehman

Download or read book Cybersecurity Arm Wrestling written by Rafeeq Rehman and published by . This book was released on 2021-04-05 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practitioners in Cybersecurity community understand that they are an unending war with opponents who have varying interests, but are mostly motivated by financial gains. New vulnerabilities are continuously discovered, new technologies are continuously being developed, and attackers are innovative in exploiting flaws to gain access to information assets for financial gains. It is profitable for attackers to succeed only few times. Security Operations Center (SOC) plays a key role in this perpetual arm wrestling to ensure you win most of the times. And if you fail once in a while, you can get back very quickly without much damage. People, who are part of SOC planning, architecture, design, implementation, operations, and incidents response will find this book useful.Many public and private sector organizations have built Security Operations Centers in-house whereas others have outsourced SOC operations to managed security services providers. Some also choose a hybrid approach by keeping parts of SOC operations in-house and outsourcing the rest of it. However, many of these efforts don't bring the intended results or realize desired business outcomes.This book is an effort to learn from experiences of many SOC practitioners and researchers to find practices that have been proven to be useful while avoiding common pitfalls in building SOC. I have also explored different ideas to find a "balanced" approach towards building a SOC and making informed choices between functions that can/should be kept in-house and the ones that can be outsourced. Even if you are an experienced SOC professional, you will still find few interesting ideas as I have done significant research and interviewed many SOC professionals to include tips to help avoid pitfalls.

The Ethics of Cybersecurity

Author : Markus Christen
Publisher : Springer Nature
ISBN 13 : 3030290530
Total Pages : 388 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis The Ethics of Cybersecurity by : Markus Christen

Download or read book The Ethics of Cybersecurity written by Markus Christen and published by Springer Nature. This book was released on 2020-02-10 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book provides the first comprehensive collection of papers that provide an integrative view on cybersecurity. It discusses theories, problems and solutions on the relevant ethical issues involved. This work is sorely needed in a world where cybersecurity has become indispensable to protect trust and confidence in the digital infrastructure whilst respecting fundamental values like equality, fairness, freedom, or privacy. The book has a strong practical focus as it includes case studies outlining ethical issues in cybersecurity and presenting guidelines and other measures to tackle those issues. It is thus not only relevant for academics but also for practitioners in cybersecurity such as providers of security software, governmental CERTs or Chief Security Officers in companies.

The Language of Cyber Attacks

Author : Aaron Mauro
Publisher : Bloomsbury Publishing
ISBN 13 : 1350354708
Total Pages : 183 pages
Book Rating : 4.3/5 (53 download)

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Book Synopsis The Language of Cyber Attacks by : Aaron Mauro

Download or read book The Language of Cyber Attacks written by Aaron Mauro and published by Bloomsbury Publishing. This book was released on 2024-09-05 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many cyberattacks begin with a lure: a seemingly innocent message designed to establish trust with a target to obtain sensitive information or compromise a computer system. The perils of clicking an unknown link or divulging sensitive information via email are well-known, so why do we continue to fall prey to these malicious messages? This groundbreaking book examines the rhetoric of deception through the lure, asking where its all-too-human allure comes from and suggesting ways in which we can protect ourselves online. Examining practices and tools such as phishing, ransomware and clickbait, this book uses case studies of notorious cyberattacks by both cyber criminals and nation-states on organizations such Facebook, Google, and the US Department of Defence, and in-depth, computational analyses of the messages themselves to unpack the rhetoric of cyberattacks. In doing so, it helps us to understand the small but crucial moments of indecision that pervade one of the most common forms of written communication.

Insider Threats in Cyber Security

Author : Christian W. Probst
Publisher : Springer Science & Business Media
ISBN 13 : 1441971335
Total Pages : 248 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Insider Threats in Cyber Security by : Christian W. Probst

Download or read book Insider Threats in Cyber Security written by Christian W. Probst and published by Springer Science & Business Media. This book was released on 2010-07-28 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Insider Threats in Cyber Security is a cutting edge text presenting IT and non-IT facets of insider threats together. This volume brings together a critical mass of well-established worldwide researchers, and provides a unique multidisciplinary overview. Monica van Huystee, Senior Policy Advisor at MCI, Ontario, Canada comments "The book will be a must read, so of course I’ll need a copy." Insider Threats in Cyber Security covers all aspects of insider threats, from motivation to mitigation. It includes how to monitor insider threats (and what to monitor for), how to mitigate insider threats, and related topics and case studies. Insider Threats in Cyber Security is intended for a professional audience composed of the military, government policy makers and banking; financing companies focusing on the Secure Cyberspace industry. This book is also suitable for advanced-level students and researchers in computer science as a secondary text or reference book.

AI in Cybersecurity

Author : Leslie F. Sikos
Publisher : Springer
ISBN 13 : 9783319988412
Total Pages : 0 pages
Book Rating : 4.9/5 (884 download)

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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 2018-09-27 with total page 0 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.

HCI for Cybersecurity, Privacy and Trust

Author : Abbas Moallem
Publisher : Springer Nature
ISBN 13 : 3031613821
Total Pages : 267 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis HCI for Cybersecurity, Privacy and Trust by : Abbas Moallem

Download or read book HCI for Cybersecurity, Privacy and Trust written by Abbas Moallem and published by Springer Nature. This book was released on with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Cyber Threat Intelligence

Author : Ali Dehghantanha
Publisher : Springer
ISBN 13 : 3319739514
Total Pages : 334 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Cyber Threat Intelligence by : Ali Dehghantanha

Download or read book Cyber Threat Intelligence written by Ali Dehghantanha and published by Springer. This book was released on 2018-04-27 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides readers with up-to-date research of emerging cyber threats and defensive mechanisms, which are timely and essential. It covers cyber threat intelligence concepts against a range of threat actors and threat tools (i.e. ransomware) in cutting-edge technologies, i.e., Internet of Things (IoT), Cloud computing and mobile devices. This book also provides the technical information on cyber-threat detection methods required for the researcher and digital forensics experts, in order to build intelligent automated systems to fight against advanced cybercrimes. The ever increasing number of cyber-attacks requires the cyber security and forensic specialists to detect, analyze and defend against the cyber threats in almost real-time, and with such a large number of attacks is not possible without deeply perusing the attack features and taking corresponding intelligent defensive actions – this in essence defines cyber threat intelligence notion. However, such intelligence would not be possible without the aid of artificial intelligence, machine learning and advanced data mining techniques to collect, analyze, and interpret cyber-attack campaigns which is covered in this book. This book will focus on cutting-edge research from both academia and industry, with a particular emphasis on providing wider knowledge of the field, novelty of approaches, combination of tools and so forth to perceive reason, learn and act on a wide range of data collected from different cyber security and forensics solutions. This book introduces the notion of cyber threat intelligence and analytics and presents different attempts in utilizing machine learning and data mining techniques to create threat feeds for a range of consumers. Moreover, this book sheds light on existing and emerging trends in the field which could pave the way for future works. The inter-disciplinary nature of this book, makes it suitable for a wide range of audiences with backgrounds in artificial intelligence, cyber security, forensics, big data and data mining, distributed systems and computer networks. This would include industry professionals, advanced-level students and researchers that work within these related fields.

Science of Cyber Security

Author : Moti Yung
Publisher : Springer Nature
ISBN 13 : 3031459334
Total Pages : 526 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Science of Cyber Security by : Moti Yung

Download or read book Science of Cyber Security written by Moti Yung and published by Springer Nature. This book was released on 2023-11-20 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Conference on Science of Cyber Security, SciSec 2023, held in Melbourne, VIC, Australia, during July 11–14, 2023. The 21 full papers presented together with 6 short papers were carefully reviewed and selected from 60 submissions. The papers are organized in the topical sections named: ACDroid: Detecting Collusion Applications on Smart Devices; Almost Injective and Invertible Encodings for Jacobi Quartic Curves; Decompilation Based Deep Binary-Source Function Matching.

Data Mining and Machine Learning in Cybersecurity

Author : Sumeet Dua
Publisher : CRC Press
ISBN 13 : 1439839433
Total Pages : 256 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Data Mining and Machine Learning in Cybersecurity by : Sumeet Dua

Download or read book Data Mining and Machine Learning in Cybersecurity written by Sumeet Dua and published by CRC Press. This book was released on 2016-04-19 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the rapid advancement of information discovery techniques, machine learning and data mining continue to play a significant role in cybersecurity. Although several conferences, workshops, and journals focus on the fragmented research topics in this area, there has been no single interdisciplinary resource on past and current works and possible

Research Anthology on Artificial Intelligence Applications in Security

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1799877485
Total Pages : 2253 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Research Anthology on Artificial Intelligence Applications in Security by : Management Association, Information Resources

Download or read book Research Anthology on Artificial Intelligence Applications in Security written by Management Association, Information Resources and published by IGI Global. This book was released on 2020-11-27 with total page 2253 pages. Available in PDF, EPUB and Kindle. Book excerpt: As industries are rapidly being digitalized and information is being more heavily stored and transmitted online, the security of information has become a top priority in securing the use of online networks as a safe and effective platform. With the vast and diverse potential of artificial intelligence (AI) applications, it has become easier than ever to identify cyber vulnerabilities, potential threats, and the identification of solutions to these unique problems. The latest tools and technologies for AI applications have untapped potential that conventional systems and human security systems cannot meet, leading AI to be a frontrunner in the fight against malware, cyber-attacks, and various security issues. However, even with the tremendous progress AI has made within the sphere of security, it’s important to understand the impacts, implications, and critical issues and challenges of AI applications along with the many benefits and emerging trends in this essential field of security-based research. Research Anthology on Artificial Intelligence Applications in Security seeks to address the fundamental advancements and technologies being used in AI applications for the security of digital data and information. The included chapters cover a wide range of topics related to AI in security stemming from the development and design of these applications, the latest tools and technologies, as well as the utilization of AI and what challenges and impacts have been discovered along the way. This resource work is a critical exploration of the latest research on security and an overview of how AI has impacted the field and will continue to advance as an essential tool for security, safety, and privacy online. This book is ideally intended for cyber security analysts, computer engineers, IT specialists, practitioners, stakeholders, researchers, academicians, and students interested in AI applications in the realm of security research.

Reshaping CyberSecurity With Generative AI Techniques

Author : Jhanjhi, Noor Zaman
Publisher : IGI Global
ISBN 13 :
Total Pages : 664 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Reshaping CyberSecurity With Generative AI Techniques by : Jhanjhi, Noor Zaman

Download or read book Reshaping CyberSecurity With Generative AI Techniques written by Jhanjhi, Noor Zaman and published by IGI Global. This book was released on 2024-09-13 with total page 664 pages. Available in PDF, EPUB and Kindle. Book excerpt: The constantly changing digital environment of today makes cybersecurity an ever-increasing concern. With every technological advancement, cyber threats become more sophisticated and easily exploit system vulnerabilities. This unending attack barrage exposes organizations to data breaches, financial losses, and reputational harm. The traditional defense mechanisms, once dependable, now require additional support to keep up with the dynamic nature of modern attacks. Reshaping CyberSecurity With Generative AI Techniques offers a transformative solution to the pressing cybersecurity dilemma by harnessing the power of cutting-edge generative AI technologies. Bridging the gap between artificial intelligence and cybersecurity presents a paradigm shift in defense strategies, empowering organizations to safeguard their digital assets proactively. Through a comprehensive exploration of generative AI techniques, readers gain invaluable insights into how these technologies can be leveraged to mitigate cyber threats, enhance defense capabilities, and reshape the cybersecurity paradigm.