Artificial Intelligence for Cyber Security and Industry 4.0

1. Auflage 2025
ISBN: 978-1-032-62146-3
Verlag: Taylor & Francis Ltd

Buch, Englisch, 382 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 870 g

Artificial Intelligence for Cyber Security and Industry 4.0 offers a comprehensive exploration of the intersection of artificial intelligence (AI) and cyber security, providing readers with a thorough understanding of both the advantages and risks posed by AI technologies in modern industries. Covering a wide array of topics, from data anonymization and intrusion detection to AI's role in cloud security, border surveillance, and healthcare, this book addresses current challenges and proposes innovative solutions. It also highlights ethical concerns related to AI's use in weapon autonomy and border migration. This book is ideal for researchers, industry professionals, policy makers, and students looking to deepen their knowledge of AI's impact on cyber security and its applications in the evolving landscape of Industry 4.0. Through practical insights and forward-thinking discussions, readers will gain a well-rounded perspective on how AI can be leveraged for security while being mindful of emerging risks.

Key Features:

- Explores the dual role of AI in strengthening and threatening cyber security in the context of Industry 4.0

- Provides an in-depth analysis of AI-driven cyber security techniques, including machine learning-based intrusion detection and data anonymization

- Investigates the malicious use of AI, addressing both expanded existing threats and the emergence of novel vulnerabilities

- Discusses advanced software design for privacy preservation in big data environments

- Covers the use of AI in specific security domains, such as border surveillance, healthcare, and the Internet of Things

- Highlights AI applications in cloud security, data integrity, and privacy protection

- Introduces Quantum Machine Learning algorithms and their relevance to cyber security

- Explores the ethical concerns surrounding AI technologies, particularly in the context of weapon autonomy and border migration

- Includes real-world scenarios and methodologies, bridging the gap between academic research and industry practice

- Offers forward-looking insights into the role of AI in future cyber security challenges and solutions

Zielgruppe

Academic, Postgraduate, Professional Reference, and Undergraduate Advanced

Autoren/Hrsg.

Jha, Anand

Sharma, Dinesh

Tomar, Geetam Singh

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Kryptographie, Datenverschlüsselung
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Datensicherheit, Datenschutz
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Drahtlostechnologie

Inhaltsverzeichnis

1. AI For Cyber Security and Cyber Security For AI: Complementary Role 2. Malicious Usage of Artificial Intelligence: Expansion of Existing Threats and Novel Threats 3. Classification of Data Anonymization Techniques 4. Software Design for Efficient Privacy Preserving in Big Data 5. Machine Learning Based Intrusion Detection System 6. Border Surveillance: Prominent Usage Scenarios 7. Cyber Security Attacks and Internet of Things: Role of Artificial Intelligence 8. A Comprehensive Framework for Anonymizing Structured Health Data: Balancing Privacy and Utility 9. Data integrity and Privacy in Cloud Platforms: An Investigation 10. AI-Powered Autonomous Weapons: Emerging Trends 11. Navigating the Complexities: AI, Security, and Liberty at the Border 12. Smart Health Care System: Automated Methods for Disease Diagnosis 13. E-Security Evolution: Navigating the E-Commerce Cybersecurity Landscape 14. The State of Cloud Security: An Analytical Review 15. Mobile Data Anonymization in Cyber Security: Techniques, Applications & Future Directions

Über Autor(innen)

Dr. Dinesh Sharma obtained his Ph.D. in wireless sensor networks with a focus on AI/ML and IOT from Uttarakhand Technical University, Uttarakhand, in 2021. Presently, he serves as an Associate Professor in the Department of Data Science Engineering at Manipal University Jaipur. With a remarkable track record, he has published 7 patents, two of which centers on the intersection of AI and agriculture. Dr. Sharma has been recognized for his exceptional contributions in the academic field. Amity University Madhya Pradesh awarded him the title of Best Faculty in both 2012 and 2019. Moreover, he has consistently been acknowledged as the Best Innovator by the university from 2019 to 2022. These accolades reflect his outstanding prowess in innovation and research.

Dr. Sharma is a Master Trainer of High-Performance Computing. Having published over 15 research papers in esteemed journals such as SCI, Scopus, Web of Sciences, and IEEE, Dr. Sharma has established himself as a prolific author. His expertise has led to numerous invitations as a resource person for various international conferences, seminars, Faculty Development Programs (FDP), webinars, and short-term courses. Additionally, he has actively contributed to the academic community by serving as a Technical Program Committee (TPC) member and reviewer for esteemed journals and international conferences.

Beyond his scholarly pursuits, Dr. Sharma has made significant strides in the realm of software development. He has successfully designed and developed numerous Android and web applications. Under his guidance, several students have secured funding for their projects and received prestigious awards at both the national and international levels. His research interests encompass wireless sensor networks, Internet of Things, AI/ML, and web/android application development. His multifaceted expertise in these domains further enriches his contributions to the academic and technological landscapes.

Prof. Dr. Geetam Singh Tomar holds the position of Director at Rajkiya Engineering College in Sonbhadra, Uttar Pradesh, India. He has obtained his undergraduate, postgraduate, and Ph.D. degrees in electronics engineering from prestigious universities in India. In addition to his role as Director, he also serves as the Principal of Malwa Institute of Technology & Management in Gwalior, India, and as an R&D Advisor at MPCT Group of Colleges, Gwalior.Prof. Dr. Tomar is actively engaged in research and consultancy in various fields, including Wireless Sensor Networks, Advanced Communication Networks, Artificial Intelligence/Machine Learning, Agriculture, and IoT. He regularly participates in international conferences held in India and other countries and has successfully organized over 24 IEEE International conferences (CICN 2009-2023,CSNT 2010-2023).His expertise and knowledge have led him to be appointed as a Visiting Professor at renowned institutions such as Hannam University in Korea,Thapar University in Patiala, and several other prestigious institutes. He has also contributed his services to IIITM and other Institutes of National Importance.In recognition of his academic excellence, Prof. Dr. Tomar received the International Pluto Award in 2009 from Cambridge, UK. Furthermore, he was honored as one of the top 100 academicians in the world in 2009. He has been consistently listed in the World for the years 2008, 2009, and 2010.

Prof. Dr. Tomar actively contributes to the academic community as the Chief Editor of five international journals. He has published more than 150 research papers in esteemed international journals and conferences. Additionally, he has authored ten books, with four of them published by Springer Verlag, Germany.His primary focus lies in promoting and expanding research activities in regions of India where research is currently limited. Prof. Dr. Tomar dedication to advancing knowledge and his contributions to the field have also led him to serve as the Chairman of the IEEE Madhya Pradesh Section.

Mr. Anand Jha

Anand Jha is an Assistant Professor in the Department of Information Technology at Rustamji Institute of Technology (RJIT), located within the Border Security Force (BSF) Academy in Tekanpur, Gwalior, Madhya Pradesh, India. As an academic professional, he is involved in teaching, research, and mentoring students in the field of Information Technology. His specific areas of expertise and research interests include Artificial Intelligence and Machine Learning, Data Science and Analytics etc.