Advances in Cyber Security and Intelligent Analytics

NOTE EDITORE

We live in a digital world, where we use digital tools and smart devices to communicate over the Internet. In turn, an enormous amount of data gets generated. The traditional computing architectures are inefficient in storing and managing this massive amount of data. Unfortunately, the data cannot be ignored as it helps businesses to make better decisions, solve problems, understand performance, improve processes, and understand customers. Therefore, we need modern systems capable of handling and managing data efficiently. In the past few decades, many distributed computing paradigms have emerged, and we have noticed a substantial growth in the applications based on such emerging paradigms. Some well-known emerging computing paradigms include cloud computing, fog computing, and edge computing, which have leveraged the increase in the volume of data being generated every second. However, the distributed computing paradigms face critical challenges, including network management and cyber security. We have witnessed the development of various networking models—IoT, SDN, and ICN—to support modern systems requirements. However, they are undergoing rapid changes and need special attention. The main issue faced by these paradigms is that traditional solutions cannot be directly applied to address the challenges. Therefore, there is a significant need to develop improved network management and cyber security solutions. To this end, this book highlights the challenges faced by emerging paradigms and presents the recent developments made to address the challenges. More specifically, it presents a detailed study on security issues in distributed computing environments and their possible solutions, followed by applications of medical IoT, deep learning, IoV, healthcare, etc.

SOMMARIO

1 Edge computing-enabled secure information-centric networking: Privacy challenges, benefits, and future trends KAVISH TOMAR, SARISHMA DANGI, AND SACHIN SHARMA 2 Weighted attack graphs and behavioral cyber game theory for cyber risk quantification FLORIAN K. KAISER, MARCUS WIENS, AND FRANK SCHULTMANN 3 NetFlow-based botnet detection in IoT edge environment using ensemble gradient boosting machine learning framework D. SANTHADEVI AND B. JANET 4 Exploring the possibility of blockchain and smart contract-based digital certificate P. RAVI KUMAR, P. HERBERT RAJ, AND SHARUL TAJUDDIN 5 Senso Scale: A framework to preserve privacy over cloud using sensitivity range NIHARIKA SINGH, ISHU GUPTA, AND ASHUTOSH KUMAR SINGH 6 Addressing the cybersecurity issues in cloud computing SHIVANSHU OLIYHAN AND CHANDRASHEKHAR AZAD 7 Role of medical image encryption algorithms in cloud platform for teleradiology applications SIJU JOHN AND S. N. KUMAR 8 Machine-learning approach for detecting cyberattacks in Medical Internet of Things THULASI M. SANTHI AND M. C. HELEN MARY 9 Secure IoV-enabled systems at Fog Computing: Layout, security, and optimization algorithms and open issues ANSHU DEVI, RAMESH KAIT, AND VIRENDER RANGA 10 A capability maturity model and value judgment systems for a distributed network of ethical and context aware digital twin agents MEZZOUR GHITA, BENHADOU SIHAM, MEDROMI HICHAM, AND GRIGUER HAFID 11 A detailed cram on artificial intelligence industrial systems 4.0 P. DHARANYADEVI, R. SRI SAIPRIYA, T. C. ADITYAA, B. SENTHILNAYAKI, M. JULIE THERESE, A. DEVI, AND K. VENKATALAKSHMI 12 Ensuring liveliness property in safety-critical systems ANKUR MAURYA, SHARAD NIGAM, AND DIVYA KUMAR 13 Machine learning for intelligent analytics JYOTI POKHARIYA, PANKAJ KUMAR MISHRA, AND JYOTI KANDPAL 14 Secure 3D route optimization of combat vehicles in war field using IoV ALOK NATH PANDEY, PIYUSH AGARWAL, AND SACHIN SHARMA 15 Healthcare therapy for treating teenagers with internet addiction using behavioral patterns and neuro-feedback analysis B. DHANALAKSHMI, K. SELVAKUMAR, AND L. SAI RAMESH 16 Containerization in cloud computing for OS-level virtualization MANOJ KUMAR PATRA, BIBHUDATTA SAHOO, AND ASHOK KUMAR TURUK 17 An adaptive deep learning approach for stock price forecasting RESHMA MO, JITENDRA KUMAR, AND ABHISHEK VERMA

AUTORE

Prof. Abhishek Verma is an Assistant Professor in the Department of Computer Science & Engineering at IIIT Jabalpur, India (an institution of national importance). He obtained a Ph.D degree (2020) on the Internet of Things security from the National Institute of Technology Kurukshetra, Haryana, India. He has more than seven years of experience in research and teaching. He has published several research articles in international SCI/SCIE/Scopus journals and conferences of high repute. He is an editorial board member of Research Reports on Computer Science (RRCS) and active review board member of various reputed journals, including IEEE, Springer, Wiley, and Elsevier. His current areas of interest include Information Security, Intrusion Detection, and the Internet of Things. Dr. Jitendra Kumar is an Assistant Professor in the Department of Computer Applications, National Institute of Technology Tiruchirappalli, Tamil Nadu, India (an institution of national importance) since May 2020. He earned his doctorate in Machine Learning and Cloud Computing from the National Institute of Technology Kurukshetra, Haryana, India in 2019. His research interests include Time Series Forecasting, Machine Learning, Evolutionary Algorithms, Cloud Management, and Optimization. He has authored and published a significant number of research articles in peer-reviewed and indexed journals and conferences of high repute. He has also authored a book on Machine Learning for Cloud Management. He has received three awards including best paper awards in international conferences. He is a senior member of IEEE and a member of several other IEEE societies, including CIS, TCCLD, and SIGHT. He is also a member of ACM and MIR Labs. He is an active review board member of various journals and conferences of repute such as IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Computers, IEEE Systems Journal, IEEE Access, IJCNN, FUZZ-IEEE, and CEC. Dr. Hari Mohan Gaur is currently in the School of Computer Science Engineering and Technology, Bennett University, India. He obtained Ph.D. from National Institute of Technology Kurukshetra, India in the area of Reversible and Quantum Computing. Hari Mohan Gaur has more than 15 years of experience in academic and research where he has also served on roles of administrative capacities. He is a distinguished researcher, well known in Academic Fraternity for his interdisciplinary research in the areas of Quantum Computation, Fault Tolerant Digital Design, IOT and Data Security in Cloud Environment. Dr. Gaur holds the credit of contribution in several quality research journals of international repute. He has received three awards including best paper awards in a peer reviewed international conference. He is a member of IEEE and several other societies of IEEE. Prof. Vrijendra Singh is presently working as Professor at the Department of Information Technology at Indian Institute of Information Technology, Allahabad. He has over 20-plus years of experience in academics (teaching/training), research & development, and consulting. He has also worked at Dept. of Electrical Engineering, IIT Kanpur; as Senior Project Associate, Ecole Polytechnique Federale de lausanne (EPFL), Switzerland; as Visiting Research Faculty; and consultant to Putera Sampoerna Foundation, Jakarta (2012) for Course curriculum development in IT and allied areas. He has authored over 85 publications in reputed international journals, conference proceedings/book chapters, and edited one book. Currently, he is serving as Chairman, IEEE Computational Intelligence Society, UP Section, India, Advisor to Network Power Solution Enterprise, New Delhi, India, collaborator to NavAjna Technologies Pvt. Ltd., Hyderabad, India, and Consultant to Pragmalytics Technologies, Kochi, India. Prof. Valentina Emilia Balas is currently a Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania. She holds a Ph.D. Cum Laude, in Applied Electronics and Telecommunications from Polytechnic University of Timisoara. Dr. Balas is an author of more than 350 research papers in refereed journals and International Conferences. Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing, Smart Sensors, Information Fusion, Modeling and Simulation. She is the Editor-in Chief to International Journal of Advanced Intelligence Paradigms (IJAIP) and to International Journal of Computational Systems Engineering (IJCSysE), member in Editorial Board member of several national and international journals and is evaluator expert for national, international projects and Ph.D. Thesis. Dr. Balas is the director of Intelligent Systems Research Centre in Aurel Vlaicu University of Arad and Director of the Department of International Relations, Programs and Projects in the same university. She served as General Chair of the International Workshop Soft Computin

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9781032216003
• Dimensioni: 9.25 x 6.25 in Ø 1.28 lb
• Formato: Copertina rigida
• Illustration Notes: 85 b/w images, 33 tables, 7 halftones and 78 line drawings
• Pagine Arabe: 292
• Pagine Romane: xx