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Big Data Analytics and Computational Intelligence for Cybersecurity (Studies in Big Data, nr. 111)

Editat de Mariya Ouaissa, Zakaria Boulouard, Mariyam Ouaissa, Inam Ullah Khan, Mohammed Kaosar
Notă GoodReads:
en Limba Engleză Hardback – 02 Sep 2022
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 of networks.
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Specificații

ISBN-13: 9783031057519
ISBN-10: 3031057511
Ilustrații: XV, 335 p. 89 illus., 62 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.69 kg
Ediția: 1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Big Data

Locul publicării: Cham, Switzerland

Cuprins

New Advancements in Cybersecurity: A Comprehensive Survey.- CPSs Communication using 5G Network in the Light of Security.- A Survey on Security Aspects in RPL Protocol over IoT Network.- Analysis of Cybersecurity Risks and their Mitigation for Work-from-Home Tools and Techniques.- A Systemic Security and Privacy Review: Attacks and Prevention Mechanisms over IoT Layers.- Software-Defined Networking Security: A Comprehensive Review.

Notă biografică

Dr. Mariya Ouaissa is currently a Professor at Institute Specializing in New Information and Communication Technologies, Researcher Associate and practitioner with industry and academic experience. She is a Ph.D. graduated in 2019 in Computer Science and Networks, at the Laboratory of Modelisation of Mathematics and Computer Science from ENSAM-Moulay Ismail University, Meknes, Morocco. She is a Networks and Telecoms Engineer, graduated in 2013 from National School of Applied Sciences Khouribga, Morocco. She is a Co-Founder and IT Consultant at IT Support and Consulting Center. She was working for School of Technology of Meknes Morocco as a Visiting Professor from 2013 to 2021. She is member of the International Association of Engineers and International Association of Online Engineering, and since 2021, she is an "ACM Professional Member". She is Expert Reviewer with Academic Exchange Information Centre (AEIC) and Brand Ambassador with Bentham Science. She has served and continues to serve on technical program and organizer committees of several conferences and events and has organized many Symposiums/Workshops/Conferences as a General Chair also as a reviewer of numerous international journals. Dr. Ouaissa has made contributions in the fields of information security and privacy, Internet of Things security, and wireless and constrained networks security. Her main research topics are IoT, M2M, D2D, WSN, Cellular Networks, and Vehicular Networks. She has published over 20 papers (book chapters, international journals, and conferences/workshops), 8 edited books, and 5 special issue as guest editor. 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 includes book 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.

Textul de pe ultima copertă

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 of networks.

Caracteristici

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