Overview
- Presents an introduction to recent trends regarding the convergence of AI/ML and big data in cybersecurity
- Is an overview of theoretical, practical, simulation concepts of computational intelligence, big data analytics
- Displays solutions that will help analyze complex patterns in user data and ultimately improve productivity
Part of the book series: Studies in Big Data (SBD, volume 111)
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Table of contents (20 chapters)
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Front Matter
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Cybersecurity in Communication Networks: Challenges and Opportunities
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Front Matter
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Computational Intelligence for Cybersecurity
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Front Matter
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Keywords
About this book
This book presents a collection of state-of-the-art artificial intelligence and big data analytics approaches to cybersecurity intelligence. It illustrates the latest trends in AI/ML-based strategic defense mechanisms against malware, vulnerabilities, cyber threats, as well as proactive countermeasures. It also introduces other trending technologies, such as blockchain, SDN, and IoT, and discusses their possible impact on improving security.
The book discusses the convergence of AI/ML and big data in cybersecurity by providing an overview of theoretical, practical, and simulation concepts of computational intelligence and big data analytics used in different approaches of security. It also displays solutions that will help analyze complex patterns in user data and ultimately improve productivity.
This book can be a source for researchers, students, and practitioners interested in the fields of artificial intelligence, cybersecurity, data analytics, and recent trends ofnetworks.Editors and Affiliations
About the editors
Dr. Zakaria Boulouard is currently a Professor at Department of Computer Sciences at the “Faculty of Sciences and Techniques Mohammedia, Hassan II University, Casablanca, Morocco”. In 2018, he joined the “Advanced Smart Systems” Research Team at the “Computer Sciences Laboratory of Mohammedia”. He received his PhD degree in 2018 from “Ibn Zohr University, Morocco” and his Engineering Degree in 2013 from the “National School of Applied Sciences, Khouribga, Morocco”. His research interests include Artificial Intelligence, Big Data Visualization and Analytics, Optimization and Competitive Intelligence. Since 2017, he is a member of “Draa-Tafilalet Foundation of Experts and Researchers”, and since 2020, he is an “ACM Professional Member”. He has served on Program Committees and Organizing Committees of several conferences and events and has organized many Symposiums/Workshops/Conferences as a General Chair. He has served and continues to serve as a reviewer of numerous international conferences and journals. He has published several research papers. This includes book chapters, peer-reviewed journal articles, peer-reviewed conference manuscripts, edited books and special issue journals.
Dr. Mariyam Ouaissa is currently a Professor at Institute specializing in new information and communication technologies, Researcher Associate and Consultant Trainer in Computer Science and Networks. She received her Ph.D. degree in 2019 from National Graduate School of Arts and Crafts, Meknes, Morocco and her Engineering Degree in 2013 from the National School of Applied Sciences, Khouribga, Morocco. She is a communication and networking researcher and practitioner with industry and academic experience. Dr Ouaissa’s research is multidisciplinary that focuses on Internet of Things, M2M, WSN, vehicular communications and cellular networks, security networks, congestion overload problem and the resource allocation management and access control. She is serving as a reviewer for international journals and conferences including as IEEE Access, Wireless Communications and Mobile Computing. Since 2020, she is a member of "International Association of Engineers IAENG" and "International Association of Online Engineering", and since 2021, she is an "ACM Professional Member". She has published more than 20 research papers (this includesbook chapters, peer-reviewed journal articles, and peer-reviewed conference manuscripts), 8 edited books, and 5 special issue as guest editor. She has served on Program Committees and Organizing Committees of several conferences and events and has organized many Symposiums/Workshops/Conferences as a General Chair.
Dr. Inam Ullah Khan was a Lecturer at different universities in Pakistan which include Center for Emerging Sciences Engineering & Technology (CESET), Islamabad, Abdul Wali Khan University, Garden and Timergara Campus and University of Swat. Recently, he is selected as a visiting researcher at king’s college London, UK. He did his Ph.D in Electronics Engineering from Department of Electronic Engineering, Isra University, Islamabad Campus, School of Engineering & Applied Sciences (SEAS). He had completed his M.S. degree in Electronic Engineering at Department of Electronic Engineering, Isra University, Islamabad Campus, School of Engineering & Applied Sciences (SEAS). He had done undergraduate degree in Bachelor of Computer Science from Abdul Wali Khan University Mardan, Pakistan.Apart from that his Master’s thesis is published as a book on topic" Route Optimization with Ant Colony Optimization (ACO)" in Germany which is avaliable on Amazon.He is a research scholar; he has published some research papers at international level. More interestingly he recently introduced a novel routing protocol E-ANTHOCNET in the area of flying ad hoc networks. His research interest includes Network System Security, Intrusion Detection, Intrusion Prevention, cryptography, Optimization techniques, WSN, IoT, UAV’s, Mobile Ad Hoc Networks (MANETS), Flying Ad Hoc Networks, and Machine Learning. He has served international conferences as Technical program committee member which include, EAI International Conference on Future Intelligent Vehicular Technologies, Islamabad, Pakistan and 2nd International Conference on Future Networks and Distributed Systems, Amman, Jordan, June 26-27, 2018 and now recently working on the same level at International Workshop on Computational Intelligence and Cybersecurity in Emergent Networks (CICEN’21) that will be held in conjunction with the 12th International Conference on Ambient Systems, Networks and Technologies (EUSPN 2021) which is co-organized in November 1-4, 2021, Leuven, Belgium.
Dr. Mohammed Kaosar is currently working as a Senior Lecturer in the Discipline of IT, Media and Communications, Murdoch University, Australia. Prior to that he has worked in several universities including RMIT University, Victoria University, Effat University and Charles Sturt University. Dr. Kaosar has worked in number of national and international research projects and grants. He has published many research papers in reputable journals and conferences including - IEEE Transaction on Knowledge and Data Engineering (TKDE), Data and Knowledge Engineering (DKE), IEEE International Conference on Data Engineering (ICDE), Computer Communication (ComCom), ACM SIGCOMM. He has been supervising many postgraduate students, mentoring junior colleagues, and collaborating with many national and international researchers. Dr. Kaosar is an active member of various professional organizations including – IEEE (Senior Member), Australian Computer Society (ACS), European Alliance for Innovation (EAI), The Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (ICST), South Pacific Competitive Programming Association, Industrial Engineering and Operation Management (IEOM). Dr. Kaosar contributes by organizing conferences and performing editorial responsibility in some journals.
Bibliographic Information
Book Title: Big Data Analytics and Computational Intelligence for Cybersecurity
Editors: Mariya Ouaissa, Zakaria Boulouard, Mariyam Ouaissa, Inam Ullah Khan, Mohammed Kaosar
Series Title: Studies in Big Data
DOI: https://doi.org/10.1007/978-3-031-05752-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-031-05751-9Published: 02 September 2022
Softcover ISBN: 978-3-031-05754-0Published: 03 September 2023
eBook ISBN: 978-3-031-05752-6Published: 01 September 2022
Series ISSN: 2197-6503
Series E-ISSN: 2197-6511
Edition Number: 1
Number of Pages: XV, 335
Number of Illustrations: 27 b/w illustrations, 62 illustrations in colour
Topics: Data Engineering, Computational Intelligence, Big Data, Artificial Intelligence, Cyber-physical systems, IoT