Leveraging Artificial Intelligence Ai Competencies For Next Generation Cybersecurity Solutions

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Leveraging Artificial Intelligence (AI) Competencies for Next-Generation Cybersecurity Solutions

Author : Pethuru Raj
Publisher : CRC Press
ISBN 13 : 1040026060
Total Pages : 580 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Leveraging Artificial Intelligence (AI) Competencies for Next-Generation Cybersecurity Solutions by : Pethuru Raj

Download or read book Leveraging Artificial Intelligence (AI) Competencies for Next-Generation Cybersecurity Solutions written by Pethuru Raj and published by CRC Press. This book was released on 2024-11-22 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern enterprises are facing growing cybersecurity issues due to the massive volume of security-related data they generate over time. AI systems can be developed to resolve a range of these issues with comparative ease. This new book describes the various types of cybersecurity problems faced by businesses and how advanced AI algorithms and models can help eliminate them. With chapters from industry and security experts, this volume discribes the various types of cybersecurity problems faced by businesses and how advanced AI algorithms and models can help elimintate them. With chapters from industry and security experts, this volume discusses the many new and emerging AI technologies and approaches that can be harnessed to combat cyberattacks, including big data analytics techniques, deep neural networks, cloud computer networks, convolutional neural networks, IoT edge devices, machine learning approaches, deep learning, blockchain technology, convolutional neural networks, and more. Some unique features of this book include: Detailed overview of various security analytics techniques and tools Comprehensive descriptions of the emerging and evolving aspects of artificial intelligence (AI) technologies Industry case studies for practical comprehension and application This book, Leveraging the Artificial Intelligence Competencies for Next-Generation Cybersecurity Solutions, illustrates how AI is a futuristic and flexible technology that can be effectively used for tackling the growing menace of cybercriminals. It clearly demystifies the unique contributions of AI algorithms, models, frameworks, and libraries in nullifying the cyberattacks. The volume will be a valuable resource for research students, scholars, academic professors, business executives, security architects, and consultants in the IT industry.

Next-Generation Cybersecurity

Author : Keshav Kaushik
Publisher : Springer Nature
ISBN 13 : 9819712491
Total Pages : 473 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Next-Generation Cybersecurity by : Keshav Kaushik

Download or read book Next-Generation Cybersecurity written by Keshav Kaushik and published by Springer Nature. This book was released on with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Cyber Security Meets Machine Learning

Author : Xiaofeng Chen
Publisher : Springer Nature
ISBN 13 : 9813367261
Total Pages : 168 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis Cyber Security Meets Machine Learning by : Xiaofeng Chen

Download or read book Cyber Security Meets Machine Learning written by Xiaofeng Chen and published by Springer Nature. This book was released on 2021-07-02 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning boosts the capabilities of security solutions in the modern cyber environment. However, there are also security concerns associated with machine learning models and approaches: the vulnerability of machine learning models to adversarial attacks is a fatal flaw in the artificial intelligence technologies, and the privacy of the data used in the training and testing periods is also causing increasing concern among users. This book reviews the latest research in the area, including effective applications of machine learning methods in cybersecurity solutions and the urgent security risks related to the machine learning models. The book is divided into three parts: Cyber Security Based on Machine Learning; Security in Machine Learning Methods and Systems; and Security and Privacy in Outsourced Machine Learning. Addressing hot topics in cybersecurity and written by leading researchers in the field, the book features self-contained chapters to allow readers to select topics that are relevant to their needs. It is a valuable resource for all those interested in cybersecurity and robust machine learning, including graduate students and academic and industrial researchers, wanting to gain insights into cutting-edge research topics, as well as related tools and inspiring innovations.

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:

Network Security Empowered by Artificial Intelligence

Author : Yingying Chen
Publisher : Springer Nature
ISBN 13 : 3031535103
Total Pages : 443 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Network Security Empowered by Artificial Intelligence by : Yingying Chen

Download or read book Network Security Empowered by Artificial Intelligence written by Yingying Chen and published by Springer Nature. This book was released on with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt:

AI-enabled Cybersecurity and Privacy for Next-Generation Communications Management

Author : Yassine Maleh
Publisher : Wiley-IEEE Press
ISBN 13 : 9781119912668
Total Pages : 0 pages
Book Rating : 4.9/5 (126 download)

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Book Synopsis AI-enabled Cybersecurity and Privacy for Next-Generation Communications Management by : Yassine Maleh

Download or read book AI-enabled Cybersecurity and Privacy for Next-Generation Communications Management written by Yassine Maleh and published by Wiley-IEEE Press. This book was released on 2023-05-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book proposes a comprehensive approach to innovative computing based on artificial intelligence techniques and algorithms for designing and deploying computational mechanics precepts. This takes the form of protocols and algorithmic frameworks to improve the security, efficiency, and utility of emerging technologies. In each case, progress is highlighted, and open questions are listed. In addition, the book presents an advanced-level overview of developments in some promising information and communication technologies, including modern and future networks (including 5G and 6G), communication environments (including Internet of Things and Fog Computing) and its applications. The authors also discuss the impact of artificial intelligence on the management of emerging technologies such as big data analysis and blockchain on improvements and its various applications in cybersecurity.

Artificial Intelligence for Cybersecurity

Author : Mark Stamp
Publisher : Springer Nature
ISBN 13 : 3030970876
Total Pages : 388 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Artificial Intelligence for Cybersecurity by : Mark Stamp

Download or read book Artificial Intelligence for Cybersecurity written by Mark Stamp and published by Springer Nature. This book was released on 2022-07-15 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores new and novel applications of machine learning, deep learning, and artificial intelligence that are related to major challenges in the field of cybersecurity. The provided research goes beyond simply applying AI techniques to datasets and instead delves into deeper issues that arise at the interface between deep learning and cybersecurity. This book also provides insight into the difficult "how" and "why" questions that arise in AI within the security domain. For example, this book includes chapters covering "explainable AI", "adversarial learning", "resilient AI", and a wide variety of related topics. It’s not limited to any specific cybersecurity subtopics and the chapters touch upon a wide range of cybersecurity domains, ranging from malware to biometrics and more. Researchers and advanced level students working and studying in the fields of cybersecurity (equivalently, information security) or artificial intelligence (including deep learning, machine learning, big data, and related fields) will want to purchase this book as a reference. Practitioners working within these fields will also be interested in purchasing this book.

AI, Blockchain and Self-Sovereign Identity in Higher Education

Author : Hamid Jahankhani
Publisher : Springer Nature
ISBN 13 : 3031336275
Total Pages : 315 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis AI, Blockchain and Self-Sovereign Identity in Higher Education by : Hamid Jahankhani

Download or read book AI, Blockchain and Self-Sovereign Identity in Higher Education written by Hamid Jahankhani and published by Springer Nature. This book was released on 2023-06-22 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to explore the next generation of online learning challenges including the security and privacy issues of digital transformation strategies that is required in teaching and learning. Also, what efforts does the industry need to invest in changing mind-sets and behaviours of both students and faculty members in adoption of virtual and blended learning? The book provides a comprehensive coverage of not only the technical and ethical issues presented by the use of AI, blockchain and self-sovereign identity, but also the adversarial application of AI and its associated implications. The authors recommend a number of novel approaches to assist in better detecting, thwarting and addressing AI challenges in higher education. The book provides a valuable reference for cyber security experts and practitioners, network security professionals and higher education strategist and decision-makers. It is also aimed at researchers seeking to obtain a more profound knowledge of machine learning and deep learning in the context of cyber security and AI in higher education. Each chapter is written by an internationally renowned expert who has extensive experience in industry or academia. Furthermore, this book blends advanced research findings with practice-based methods to provide the reader with advanced understanding and relevant skills.

Explainable Artificial Intelligence for Cyber Security

Author : Mohiuddin Ahmed
Publisher : Springer Nature
ISBN 13 : 3030966305
Total Pages : 283 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Explainable Artificial Intelligence for Cyber Security by : Mohiuddin Ahmed

Download or read book Explainable Artificial Intelligence for Cyber Security written by Mohiuddin Ahmed and published by Springer Nature. This book was released on 2022-04-18 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents that explainable artificial intelligence (XAI) is going to replace the traditional artificial, machine learning, deep learning algorithms which work as a black box as of today. To understand the algorithms better and interpret the complex networks of these algorithms, XAI plays a vital role. In last few decades, we have embraced AI in our daily life to solve a plethora of problems, one of the notable problems is cyber security. In coming years, the traditional AI algorithms are not able to address the zero-day cyber attacks, and hence, to capitalize on the AI algorithms, it is absolutely important to focus more on XAI. Hence, this book serves as an excellent reference for those who are working in cyber security and artificial intelligence.

Artificial Intelligence and Cybersecurity

Author : Tuomo Sipola
Publisher : Springer Nature
ISBN 13 : 3031150309
Total Pages : 300 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Artificial Intelligence and Cybersecurity by : Tuomo Sipola

Download or read book Artificial Intelligence and Cybersecurity written by Tuomo Sipola and published by Springer Nature. This book was released on 2022-12-07 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses artificial intelligence (AI) and cybersecurity from multiple points of view. The diverse chapters reveal modern trends and challenges related to the use of artificial intelligence when considering privacy, cyber-attacks and defense as well as applications from malware detection to radio signal intelligence. The chapters are contributed by an international team of renown researchers and professionals in the field of AI and cybersecurity. During the last few decades the rise of modern AI solutions that surpass humans in specific tasks has occurred. Moreover, these new technologies provide new methods of automating cybersecurity tasks. In addition to the privacy, ethics and cybersecurity concerns, the readers learn several new cutting edge applications of AI technologies. Researchers working in AI and cybersecurity as well as advanced level students studying computer science and electrical engineering with a focus on AI and Cybersecurity will find this book useful as a reference. Professionals working within these related fields will also want to purchase this book as a reference.

Artificial Intelligence for Security

Author : Tuomo Sipola
Publisher : Springer Nature
ISBN 13 : 3031574524
Total Pages : 373 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Artificial Intelligence for Security by : Tuomo Sipola

Download or read book Artificial Intelligence for Security written by Tuomo Sipola and published by Springer Nature. This book was released on with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Practical AI for Cybersecurity

Author : Ravi Das
Publisher : CRC Press
ISBN 13 : 1000349454
Total Pages : 395 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Practical AI for Cybersecurity by : Ravi Das

Download or read book Practical AI for Cybersecurity written by Ravi Das and published by CRC Press. This book was released on 2021-02-26 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: The world of cybersecurity and the landscape that it possesses is changing on a dynamic basis. It seems like that hardly one threat vector is launched, new variants of it are already on the way. IT Security teams in businesses and corporations are struggling daily to fight off any cyberthreats that they are experiencing. On top of this, they are also asked by their CIO or CISO to model what future Cyberattacks could potentially look like, and ways as to how the lines of defenses can be further enhanced. IT Security teams are overburdened and are struggling to find ways in order to keep up with what they are being asked to do. Trying to model the cyberthreat landscape is a very laborious process, because it takes a lot of time to analyze datasets from many intelligence feeds. What can be done to accomplish this Herculean task? The answer lies in Artificial Intelligence (AI). With AI, an IT Security team can model what the future Cyberthreat landscape could potentially look like in just a matter of minutes. As a result, this gives valuable time for them not only to fight off the threats that they are facing, but to also come up with solutions for the variants that will come out later. Practical AI for Cybersecurity explores the ways and methods as to how AI can be used in cybersecurity, with an emphasis upon its subcomponents of machine learning, computer vision, and neural networks. The book shows how AI can be used to help automate the routine and ordinary tasks that are encountered by both penetration testing and threat hunting teams. The result is that security professionals can spend more time finding and discovering unknown vulnerabilities and weaknesses that their systems are facing, as well as be able to come up with solid recommendations as to how the systems can be patched up quickly.

AI, Machine Learning and Deep Learning

Author : Fei Hu
Publisher : CRC Press
ISBN 13 : 1000878872
Total Pages : 347 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis AI, Machine Learning and Deep Learning by : Fei Hu

Download or read book AI, Machine Learning and Deep Learning written by Fei Hu and published by CRC Press. This book was released on 2023-06-05 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, Artificial Intelligence (AI) and Machine Learning/ Deep Learning (ML/DL) have become the hottest areas in information technology. In our society, many intelligent devices rely on AI/ML/DL algorithms/tools for smart operations. Although AI/ML/DL algorithms and tools have been used in many internet applications and electronic devices, they are also vulnerable to various attacks and threats. AI parameters may be distorted by the internal attacker; the DL input samples may be polluted by adversaries; the ML model may be misled by changing the classification boundary, among many other attacks and threats. Such attacks can make AI products dangerous to use. While this discussion focuses on security issues in AI/ML/DL-based systems (i.e., securing the intelligent systems themselves), AI/ML/DL models and algorithms can actually also be used for cyber security (i.e., the use of AI to achieve security). Since AI/ML/DL security is a newly emergent field, many researchers and industry professionals cannot yet obtain a detailed, comprehensive understanding of this area. This book aims to provide a complete picture of the challenges and solutions to related security issues in various applications. It explains how different attacks can occur in advanced AI tools and the challenges of overcoming those attacks. Then, the book describes many sets of promising solutions to achieve AI security and privacy. The features of this book have seven aspects: This is the first book to explain various practical attacks and countermeasures to AI systems Both quantitative math models and practical security implementations are provided It covers both "securing the AI system itself" and "using AI to achieve security" It covers all the advanced AI attacks and threats with detailed attack models It provides multiple solution spaces to the security and privacy issues in AI tools The differences among ML and DL security and privacy issues are explained Many practical security applications are covered

Cybersecurity and Artificial Intelligence

Author : Hamid Jahankhani
Publisher : Springer Nature
ISBN 13 : 3031522729
Total Pages : 329 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Cybersecurity and Artificial Intelligence by : Hamid Jahankhani

Download or read book Cybersecurity and Artificial Intelligence written by Hamid Jahankhani and published by Springer Nature. This book was released on with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt:

AI for Cybersecurity

Author : StoryBuddiesPlay
Publisher : StoryBuddiesPlay
ISBN 13 :
Total Pages : 65 pages
Book Rating : 4./5 ( download)

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Book Synopsis AI for Cybersecurity by : StoryBuddiesPlay

Download or read book AI for Cybersecurity written by StoryBuddiesPlay and published by StoryBuddiesPlay. This book was released on 2024-04-06 with total page 65 pages. Available in PDF, EPUB and Kindle. Book excerpt: Conquer Cybersecurity Challenges with AI: Your Ultimate Guide In today's ever-connected world, cyber threats loom large. Traditional security methods struggle to keep pace with the sophistication and speed of modern attacks. But there's a new weapon in the fight for digital defense: Artificial Intelligence (AI). This comprehensive guide explores how AI is revolutionizing cybersecurity, empowering businesses and individuals to build a more secure future. Demystifying AI for Cybersecurity: Unveiling the magic behind the curtain, this guide dives into the world of AI and machine learning (ML). We'll explain how AI algorithms analyze vast amounts of data, identify patterns, and predict potential attacks, acting as a vigilant guardian on your digital watchtower. AI's Arsenal of Defensive Tools: From proactive threat detection and prevention to swift incident response and forensics, discover how AI empowers your security team. Explore how AI can identify vulnerabilities before attackers exploit them, analyze network traffic for suspicious activity, and automate the analysis of security alerts, saving valuable time and resources. AI Outmaneuvering Phishing Attacks: Phishing scams remain a persistent threat. This guide unveils how AI thwarts these attempts with deception and advanced detection. Learn about honeypots that lure attackers away from real systems, and AI-powered simulations that train employees to identify phishing tactics. Discover how AI analyzes email content and user behavior to flag suspicious attempts before they cause harm. Understanding User Behavior with UEBA: Imagine a guardian angel monitoring your network for unusual activity. UEBA (User and Entity Behavior Analytics) is just that. This guide explores how AI analyzes user and entity behavior to identify potential insider threats or compromised accounts. Learn how UEBA establishes baselines for normal activity and flags anomalies that might indicate a security breach. Securing the Cloud with AI's Power: The cloud offers flexibility and scalability, but security concerns remain. This guide delves into how AI safeguards cloud-based infrastructure and data. Discover how AI continuously monitors cloud workloads, detects threats in real-time, and automates certain security responses, minimizing the impact of incidents. Beyond the Technology: The Human Element While AI offers immense potential, human expertise remains irreplaceable. This guide emphasizes the importance of collaboration between humans and AI. Explore how security professionals leverage AI insights to make critical decisions and ensure ethical considerations are addressed throughout the cybersecurity process. The Future of AI and Cybersecurity: A Collaborative Journey The cybersecurity landscape is constantly evolving, and AI is at the forefront of this transformation. This guide explores the exciting possibilities and ongoing challenges that lie ahead, including AI's ability to adapt to emerging threats and the potential for automated incident response. Embrace a Secure Future with AI: This guide empowers you to understand AI's role in cybersecurity. By leveraging this powerful technology responsibly, you can build a more robust defense against cyber threats. Take the first step towards a more secure digital future – explore the power of AI in cybersecurity today!

Automated Secure Computing for Next-Generation Systems

Author : Amit Kumar Tyagi
Publisher : John Wiley & Sons
ISBN 13 : 1394213921
Total Pages : 522 pages
Book Rating : 4.3/5 (942 download)

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Book Synopsis Automated Secure Computing for Next-Generation Systems by : Amit Kumar Tyagi

Download or read book Automated Secure Computing for Next-Generation Systems written by Amit Kumar Tyagi and published by John Wiley & Sons. This book was released on 2023-11-16 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: AUTOMATED SECURE COMPUTING FOR NEXT-GENERATION SYSTEMS This book provides cutting-edge chapters on machine-empowered solutions for next-generation systems for today’s society. Security is always a primary concern for each application and sector. In the last decade, many techniques and frameworks have been suggested to improve security (data, information, and network). Due to rapid improvements in industry automation, however, systems need to be secured more quickly and efficiently. It is important to explore the best ways to incorporate the suggested solutions to improve their accuracy while reducing their learning cost. During implementation, the most difficult challenge is determining how to exploit AI and ML algorithms for improved safe service computation while maintaining the user’s privacy. The robustness of AI and deep learning, as well as the reliability and privacy of data, is an important part of modern computing. It is essential to determine the security issues of using AI to protect systems or ML-based automated intelligent systems. To enforce them in reality, privacy would have to be maintained throughout the implementation process. This book presents groundbreaking applications related to artificial intelligence and machine learning for more stable and privacy-focused computing. By reflecting on the role of machine learning in information, cyber, and data security, Automated Secure Computing for Next-Generation Systems outlines recent developments in the security domain with artificial intelligence, machine learning, and privacy-preserving methods and strategies. To make computation more secure and confidential, the book provides ways to experiment, conceptualize, and theorize about issues that include AI and machine learning for improved security and preserve privacy in next-generation-based automated and intelligent systems. Hence, this book provides a detailed description of the role of AI, ML, etc., in automated and intelligent systems used for solving critical issues in various sectors of modern society. Audience Researchers in information technology, robotics, security, privacy preservation, and data mining. The book is also suitable for postgraduate and upper-level undergraduate students.

The Fusion of Artificial Intelligence and Soft Computing Techniques for Cybersecurity

Author : M. A. Jabbar
Publisher : CRC Press
ISBN 13 : 1000925447
Total Pages : 269 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis The Fusion of Artificial Intelligence and Soft Computing Techniques for Cybersecurity by : M. A. Jabbar

Download or read book The Fusion of Artificial Intelligence and Soft Computing Techniques for Cybersecurity written by M. A. Jabbar and published by CRC Press. This book was released on 2024-06-28 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the ever-increasing threat of cyber-attacks, especially as the COVID-19 pandemic helped to ramp up the use of digital communications technology, there is a continued need to find new ways to maintain and improve cybersecurity. This new volume investigates the advances in artificial intelligence and soft computing techniques in cybersecurity. It specifically looks at cybersecurity during the COVID-19 pandemic, the use of cybersecurity for cloud intelligent systems, applications of cybersecurity techniques for web applications, and cybersecurity for cyber-physical systems. A diverse array of technologies and techniques are explored for cybersecurity applications, such as the Internet of Things, edge computing, cloud computing, artificial intelligence, soft computing, machine learning, cross-site scripting in web-based services, neural gas (GNG) clustering technique, and more.