Explainable Artificial Intelligence for Cyber Security

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Author :
Publisher : Springer Nature
ISBN 13 : 3030966305
Total Pages : 283 pages
Book Rating : 4.00/5 ( 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.

Computational Intelligence Applications in Cyber Security

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Publisher :
ISBN 13 : 9781032470597
Total Pages : 0 pages
Book Rating : 4.93/5 ( download)

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Book Synopsis Computational Intelligence Applications in Cyber Security by : Suhel Ahmad Khan

Download or read book Computational Intelligence Applications in Cyber Security written by Suhel Ahmad Khan and published by . This book was released on 2024-10-16 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The text comprehensively discusses soft computing and decision-making techniques like the fuzzy analytic hierarchy process, fuzzy analytic network process, and fuzzy TOPSIS. It further covers a wide range of wireless communication with emerging computational intelligent trends. The text explores the role of wireless technologies in applications touching on various spheres of human life with the help of hesitant fuzzy sets-based computational modeling. This book: Discusses the Internet of Things and cloud computing technologies in promoting cyber security. Highlights the impact of the relationship between security and sustainability, usability, and dependability during securing cyber communication. Evaluating the importance of artificial intelligence and machine learning-based techniques, quantitatively and empirically. Discusses applications of adaptive and learning techniques for secure estimation. Showcases various risks and uses of a multi-criteria decision-making method to manage risks. The text is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.

Research Anthology on Artificial Intelligence Applications in Security

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Publisher : IGI Global
ISBN 13 : 1799877485
Total Pages : 2253 pages
Book Rating : 4.86/5 ( 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.

Machine Learning and Cognitive Science Applications in Cyber Security

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Publisher : IGI Global
ISBN 13 : 1522581014
Total Pages : 321 pages
Book Rating : 4.17/5 ( download)

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Book Synopsis Machine Learning and Cognitive Science Applications in Cyber Security by : Khan, Muhammad Salman

Download or read book Machine Learning and Cognitive Science Applications in Cyber Security written by Khan, Muhammad Salman and published by IGI Global. This book was released on 2019-05-15 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the past few years, with the evolution of advanced persistent threats and mutation techniques, sensitive and damaging information from a variety of sources have been exposed to possible corruption and hacking. Machine learning, artificial intelligence, predictive analytics, and similar disciplines of cognitive science applications have been found to have significant applications in the domain of cyber security. Machine Learning and Cognitive Science Applications in Cyber Security examines different applications of cognition that can be used to detect threats and analyze data to capture malware. Highlighting such topics as anomaly detection, intelligent platforms, and triangle scheme, this publication is designed for IT specialists, computer engineers, researchers, academicians, and industry professionals interested in the impact of machine learning in cyber security and the methodologies that can help improve the performance and reliability of machine learning applications.

Advancing Computational Intelligence Techniques for Security Systems Design

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Publisher : CRC Press
ISBN 13 : 1000618331
Total Pages : 157 pages
Book Rating : 4.34/5 ( download)

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Book Synopsis Advancing Computational Intelligence Techniques for Security Systems Design by : Uzzal Sharma

Download or read book Advancing Computational Intelligence Techniques for Security Systems Design written by Uzzal Sharma and published by CRC Press. This book was released on 2022-08-24 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: Security systems have become an integral part of the building and large complex setups, and intervention of the computational intelligence (CI) paradigm plays an important role in security system architecture. This book covers both theoretical contributions and practical applications in security system design by applying the Internet of Things (IoT) and CI. It further explains the application of IoT in the design of modern security systems and how IoT blended with computational intel- ligence can make any security system improved and realizable. Key features: Focuses on the computational intelligence techniques of security system design Covers applications and algorithms of discussed computational intelligence techniques Includes convergence-based and enterprise integrated security systems with their applications Explains emerging laws, policies, and tools affecting the landscape of cyber security Discusses application of sensors toward the design of security systems This book will be useful for graduate students and researchers in electrical, computer engineering, security system design and engineering.

Recent Advances in Computational Intelligence and Cyber Security

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Publisher : CRC Press
ISBN 13 : 104012786X
Total Pages : 400 pages
Book Rating : 4.65/5 ( download)

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Book Synopsis Recent Advances in Computational Intelligence and Cyber Security by : Ashok Kumar Singh

Download or read book Recent Advances in Computational Intelligence and Cyber Security written by Ashok Kumar Singh and published by CRC Press. This book was released on 2024-07-08 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the ever-accelerating tapestry of our digital age, the symbiotic relationship between computational intelligence and cyber security has become the linchpin of progress. The relentless pace of technological evolution and the ceaseless emergence of cyber threats demand not only adaptation but also an exploration of the forefronts of innovation and defence. Recent Advances in Computational Intelligence and Cyber security is a testament to the exhilarating journey undertaken by researchers, practitioners, and visionaries in these pivotal fields. Within the confines of this book, we embark on a captivating exploration of the cutting-edge developments that define the current state of computational intelligence and the intricate dance with the ever-evolving landscape of cyber security.

Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities

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Author :
Publisher : Springer Nature
ISBN 13 : 3030722368
Total Pages : 467 pages
Book Rating : 4.64/5 ( download)

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Book Synopsis Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities by : Sanjay Misra

Download or read book Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities written by Sanjay Misra and published by Springer Nature. This book was released on 2021-05-31 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides stepwise discussion, exhaustive literature review, detailed analysis and discussion, rigorous experimentation results (using several analytics tools), and an application-oriented approach that can be demonstrated with respect to data analytics using artificial intelligence to make systems stronger (i.e., impossible to breach). We can see many serious cyber breaches on Government databases or public profiles at online social networking in the recent decade. Today artificial intelligence or machine learning is redefining every aspect of cyber security. From improving organizations’ ability to anticipate and thwart breaches, protecting the proliferating number of threat surfaces with Zero Trust Security frameworks to making passwords obsolete, AI and machine learning are essential to securing the perimeters of any business. The book is useful for researchers, academics, industry players, data engineers, data scientists, governmental organizations, and non-governmental organizations.

Artificial Intelligence and Blockchain for Future Cybersecurity Applications

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Publisher : Springer Nature
ISBN 13 : 3030745759
Total Pages : 376 pages
Book Rating : 4.52/5 ( download)

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Book Synopsis Artificial Intelligence and Blockchain for Future Cybersecurity Applications by : Yassine Maleh

Download or read book Artificial Intelligence and Blockchain for Future Cybersecurity Applications written by Yassine Maleh and published by Springer Nature. This book was released on 2021-04-30 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents state-of-the-art research on artificial intelligence and blockchain for future cybersecurity applications. The accepted book chapters covered many themes, including artificial intelligence and blockchain challenges, models and applications, cyber threats and intrusions analysis and detection, and many other applications for smart cyber ecosystems. It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this particular area or those interested in grasping its diverse facets and exploring the latest advances on artificial intelligence and blockchain for future cybersecurity applications.

Machine Intelligence and Big Data Analytics for Cybersecurity Applications

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Publisher : Springer Nature
ISBN 13 : 303057024X
Total Pages : 539 pages
Book Rating : 4.48/5 ( download)

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Book Synopsis Machine Intelligence and Big Data Analytics for Cybersecurity Applications by : Yassine Maleh

Download or read book Machine Intelligence and Big Data Analytics for Cybersecurity Applications written by Yassine Maleh and published by Springer Nature. This book was released on 2020-12-14 with total page 539 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest advances in machine intelligence and big data analytics to improve early warning of cyber-attacks, for cybersecurity intrusion detection and monitoring, and malware analysis. Cyber-attacks have posed real and wide-ranging threats for the information society. Detecting cyber-attacks becomes a challenge, not only because of the sophistication of attacks but also because of the large scale and complex nature of today’s IT infrastructures. It discusses novel trends and achievements in machine intelligence and their role in the development of secure systems and identifies open and future research issues related to the application of machine intelligence in the cybersecurity field. Bridging an important gap between machine intelligence, big data, and cybersecurity communities, it aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this area or those interested in grasping its diverse facets and exploring the latest advances on machine intelligence and big data analytics for cybersecurity applications.

Implementing Computational Intelligence Techniques for Security Systems Design

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Author :
Publisher : IGI Global
ISBN 13 : 1799824209
Total Pages : 332 pages
Book Rating : 4.06/5 ( download)

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Book Synopsis Implementing Computational Intelligence Techniques for Security Systems Design by : Albastaki, Yousif Abdullatif

Download or read book Implementing Computational Intelligence Techniques for Security Systems Design written by Albastaki, Yousif Abdullatif and published by IGI Global. This book was released on 2020-02-14 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recently, cryptology problems, such as designing good cryptographic systems and analyzing them, have been challenging researchers. Many algorithms that take advantage of approaches based on computational intelligence techniques, such as genetic algorithms, genetic programming, and so on, have been proposed to solve these issues. Implementing Computational Intelligence Techniques for Security Systems Design is an essential research book that explores the application of computational intelligence and other advanced techniques in information security, which will contribute to a better understanding of the factors that influence successful security systems design. Featuring a range of topics such as encryption, self-healing systems, and cyber fraud, this book is ideal for security analysts, IT specialists, computer engineers, software developers, technologists, academicians, researchers, practitioners, and students.