Cyber Security Unleashed

Exploring the Future of Digital Defense
1. Auflage 2027
ISBN: 978-1-032-94174-5
Verlag: Taylor & Francis Ltd

Buch, Englisch, 272 Seiten, Format (B × H): 178 mm x 254 mm

The Edited Book entitled Cyber Security Unleashed: Exploring the Future of Digital Defense delves into the rapidly evolving landscape of cyber threats and defenses, providing readers with comprehensive insights into the cutting-edge technologies, strategies, and challenges shaping the future of digital security. From artificial intelligence and blockchain to quantum computing and IoT security, this book explores emerging trends, promising solutions, and regulatory considerations in safeguarding against cyber threats. With contributions from leading experts in the field, it serves as an essential guide for professionals, researchers, and policymakers seeking to navigate and anticipate the dynamic cyber ecosystem of tomorrow.

Cyber Security Unleashed: Exploring the Future of Digital Defense is a thought-provoking edited book that explores the intersection of innovation and development in the field of cyber security. Edited by experts in the field, the book delves into the transformative power of cutting-edge technologies and innovative solutions in addressing global challenges related to privacy and security in the digital age. In today’s interconnected world, where cyberspace plays an increasingly pivotal role in every aspect of our lives, the need for robust cyber security measures has never been more critical. This book serves as a beacon, guiding readers through the complex terrain of cyber security and illuminating the path forward towards a more secure digital future. Cyber Security Unleashed is not just a reflection of the current state of cyber security. It is a visionary exploration of what lies ahead, empowering readers to unleash the full potential of digital defense in an increasingly interconnected world.

Zielgruppe

Academic, Postgraduate, and Professional Reference

Autoren/Hrsg.

Hussain, Abid

Liu, Chuan-Ming

Sharma, Amit

Arora, Titu Singh

Fachgebiete

• Technische Wissenschaften Bauingenieurwesen Gebäudesicherheit
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Schadprogramme (Viren, Trojaner etc.)
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Kryptographie, Datenverschlüsselung
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
• Geisteswissenschaften Architektur Gestaltung, Darstellung, Bautechnik
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Datensicherheit, Datenschutz

Inhaltsverzeichnis

Chapter 1: Demystifying Artificial Intelligence and Its Technologies in Cyber Defense: Promises and Challenges. Chapter 2: Design and Implementation of Smart and Safety Device for Women and Children. Chapter 3: Secure Software Development Lifecycle: Integrating Security from Design to Deployment. Chapter 4: Design & Development of a Framework for Fake News Prediction in Social Media Websites Using Machine Learning Techniques. Chapter 5: Significant Role of Quantum Machine Learning: Expanding the Frontiers of Data Security. Chapter 6: An Architectural Approach to Detect the Malicious Applications in Android Mobile Using Deep Learning. Chapter 7: An Architectural Framework for the Security of Industrial Automation Using Machine and Deep Learning in Cyber Security. Chapter 8: Building a Secure DevOps Pipeline: Integrating Security into Continuous Integration/Continuous Deployment (CI/CD). Chapter 9: Cyber Security for the Internet of Medical Things (IoMT): Safeguarding Healthcare Devices and Data. Chapter 10: Next Gen Artificial Intelligence and Cloud Computing Based Applications for Multi-Factor Authentication Systems for Enhanced Security. Chapter 11: A Unified Model for Predicting Spam Emails Using Machine Learning Algorithms. Chapter 12: Securing Smart Cities: IoT and AI in Urban Infrastructure Protection.

Über Autor(innen)

Dr. Abid Hussain is currently working as a Professor in the School of Computer Application & Technology and Dean of Research & Higher Studies at Career Point University, Kota (Rajasthan), India. He is also a Honorary Adjunct Faculty in the School of Computing at Maryam Abacha American University, Nigeria (MAAUN). He is also working as a PostDoctoral Fellow at Department of Creative Technologies and Product Design, National Taipei University of Business, Taiwan. He received Ph.D. and MCA in Computer Application. He is a Chairperson of IPR Cell and Vice President of IIC Council at Career Point University, Kota. He is currently working as a Honorary Chair at ACM Udaipur (Formerly known as Rajasthan) Professional Chapter. He has 18+ teaching experience of Higher Education. He has received Best Academician and Best Author Awards in the field of Academic and Research Excellence. His areas of interest are Cloud Computing, AI/ML, IoT, Network Security, Open Source Technologies, Web Mining, Web Engineering and Cyber Security & Law. He is also a Research Supervisor in Computer Science & Technology at Career Point University and 8 PhD awarded under the supervision. He published more than 40+research papers in the reputed international journals of computer science and technology. He is also working as a Reviewer and Technical Program Committee Member for various national and international conferences as well reputed Scopus Indexed and Web of Science research journals including Springer, IEEE, MDPI and Inderscience etc. He is worked as Session Chair and Keynote Speaker in the various International Conferences. He has published 7 patents on latest technologies in computer science. He has published 3 Authored and 5 Edited books for the computer science and technology. His 2 Edited Books have been published by the CRC Press, Taylor and Francis Group USA. He is also working as an External Examiner for PhD Evaluation. He is an active member of WASET, IAENG, CSTA, ICSES and IASTER also. Beyond research, Dr. Hussain is known for his commitment to student mentorship, collaborative innovation, and academic excellence, nurturing future technologists and scholars to excel in an increasingly digital world.

Chuan-Ming Liu is a professor in the Department of Computer Science and Information Engineering (CSIE), National Taipei University of Technology (Taipei Tech), TAIWAN, where he was the Department Chair from 2013-2017. Currently, he is pointed to be the Head of the Extension Education Center at the same school. Dr. Liu received his Ph.D. in Computer Science from Purdue University in 2002 and joined the CSIE Department in Taipei Tech in the spring of 2003. In 2010 and 2011, he has held visiting appointments with Auburn University, Auburn, AL, USA, and the Beijing Institute of Technology, Beijing, China. He has services in many journals, conferences and societies as well as published more than 100 papers in many prestigious journals and international conferences. Dr. Liu was the co- recipients of ICUFN 2015 Excellent Paper Award, ICS 2016 Outstanding Paper Award, MC 2017 Best Poster Award, WOCC 2018 Best Paper Award and MC 2019 Best Poster Award.

His current research interests include big data management and processing, uncertain data management, data science, spatial data processing, data streams, ad-hoc and sensor networks,location-based services.

Dr. Amit Sharma is an Associate Professor in the Department of Computer Science

and Engineering at Vivekananda Global University, Jaipur, India, where he is actively involved in research and development in computer science. He qualified M.Tech (Computer Science & Engineering) and Ph.D also, showcasing his academic excellence. He has extensive knowledge of the AI, Machine Learning, Internet of Things, Image Processing and AutoCAD and has provided training to students worldwide.

He has published numerous articles in reputed, peer-reviewed national and international Scopus-indexed conferences and journals. Additionally, he has served as a keynote speaker and resource person for several workshops and webinars conducted in India. His research areas include Image Process, the Internet of Things, Machine Learning, Deep Learning, and Computer Vision. He has edited more than 03 books with various reputed publishers, including CRC, Wiley, Press, and IGI Global.

Dr. Titu Singh Arora is a highly accomplished professional with a rich background in academia and research, boasting a remarkable 19 years of experience in the field of Computer Science & Engineering. He also received Ph.D in Computer Science & Engineering from Career Point University, Kota, Rajasthan. He has authored 14 research papers that have been published in renowned national and international journals, as well as conferences affiliated with prestigious organizations such as IEEE, Scopus, and UGC. In addition to his research prowess, Dr. Arora holds 2 patents, demonstrating his innovative approach and contributions to practical solutions in the technological landscape. Dr. Arora's commitment to staying at the forefront of technology is evident through his certifications from Microsoft Technology Associate and Google Analytics Academy. His outstanding contributions to the field have not gone unnoticed, as evidenced by the Appreciation Letter he received from IIT Madras for his Quality Enhancement in Engineering Education.