Green Cybersecurity Ecosystems

Sustainable Approaches for the Modern World
1. Auflage 2027
ISBN: 978-1-041-00033-4
Verlag: Taylor & Francis Ltd

Buch, Englisch, 264 Seiten, Format (B × H): 156 mm x 234 mm

The rapid growth of artificial intelligence, cloud computing, the Internet of Things (IoT), autonomous systems, and digital healthcare has transformed the way modern societies operate. While these technologies provide significant benefits, they also increase energy consumption, carbon emissions, computational costs, and cybersecurity risks. Developing secure digital systems that are also environmentally sustainable has therefore become an important global challenge.

Green Cybersecurity Ecosystems: Sustainable Approaches for the Modern World presents recent research on building secure, energy-efficient, and environmentally responsible digital technologies. The book covers Green AI, sustainable cybersecurity, intrusion detection systems, IoT security, cyber-risk estimation, automotive cybersecurity, side-channel attack detection, Agentic AI, Zero Trust Architecture, privacy-preserving AI, and healthcare cybersecurity.

The chapters highlight practical solutions that combine artificial intelligence, machine learning, explainable AI, blockchain, federated learning, edge computing, and sustainable computing to improve security while reducing environmental impact. The book also discusses governance, privacy, trust, energy-efficient system design, and responsible AI development.

Designed for researchers, academicians, postgraduate students, cybersecurity professionals, industry practitioners, and policymakers, this book provides both theoretical knowledge and practical applications for developing the next generation of secure and sustainable cyber ecosystems.

Zielgruppe

Professional Practice & Development, Professional Reference, and Professional Training

Autoren/Hrsg.

Desai, Usha

Naik, Nithesh

Randhawa, Princy

Tsaramirsis, George

Mehta, Nisarg

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Schadprogramme (Viren, Trojaner etc.)
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Kryptographie, Datenverschlüsselung
• Sozialwissenschaften Politikwissenschaft Militärwesen Nationale und Internationale Sicherheits- und Verteidigungspolitik
• Rechtswissenschaften Öffentliches Recht Staats- und Verfassungsrecht
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Datensicherheit, Datenschutz
• Sozialwissenschaften Soziologie | Soziale Arbeit Soziale Gruppen/Soziale Themen Ethische Themen & Debatten
• Technische Wissenschaften Bauingenieurwesen Gebäudesicherheit
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
• Sozialwissenschaften Sport | Tourismus | Freizeit Heimwerken
• Geisteswissenschaften Architektur Gestaltung, Darstellung, Bautechnik
• Sozialwissenschaften Politikwissenschaft Regierungspolitik Innen-, Bildungs- und Bevölkerungspolitik
• Rechtswissenschaften Öffentliches Recht Verwaltungsrecht Allgemeines Informationsrecht, Datenschutzrecht

Inhaltsverzeichnis

Chapter 1: Green AI for Performance and Sustainability. Chapter 2: Intrusion Detection System Using Hybrid Deep Learning Framework on the LR-HR DDoS 2024 Dataset. Chapter 3: Green AI for Performance and Sustainability in Cyber Security. Chapter 4: IoT Security in Green Applications. Chapter 5: Orchestrating Cyber Elegance: The Artistic Evolution of Automated Penetration Testing in Healthcare. Chapter 6: Using Multimodal AI in Cybersecurity and Deep Space Networks. Chapter 7: A Review of Cyber-Risk Estimation Approaches. Chapter 8: Explainable Automotive Intrusion Detection for Malicious CAN Bus Traffic. Chapter 9: Green Artificial Intelligence: Sustainable Approaches for Energy-Efficient Computing. Chapter 10: Side Channel Attack Detection Using Machine Learning on Power Traces. Chapter 11: Zero Trust Governance for Agentic AI in Healthcare Information Systems. Chapter 12: Privacy-Preserving and Energy-Efficient Agentic AI Architectures for Healthcare Cybersecurity.

Über Autor(innen)

Usha Desai

S.E.A College of Engineering & Technology, Bengaluru, India

Usha Desai is a Professor and Dean (Research & Development) at S.E.A College of Engineering & Technology, Bengaluru, India. She received her Ph.D. in Biomedical Signal Processing from REVA University and her M.Tech. and B.E. degrees from Visvesvaraya Technological University (VTU), Karnataka, India. She received the DST International Travel Grant to present her research at the 39th IEEE Engineering in Medicine and Biology Society (EMBS) International Conference held in Jeju Island, South Korea. She organized the International Conference on Innovative Research Development (ICIRD-2024) at Shinawatra University, Bangkok, Thailand, where she received the Best Academician and Outstanding Organizing Member awards.

Dr. Desai has authored more than 60 research publications, five books, and eight patents. She is a Senior Member of IEEE and a Life Member of ISTE. Her research interests include biomedical signal processing, artificial intelligence, healthcare technologies, cybersecurity, and intelligent systems.

Nithesh Naik

Manipal Institute of Technology, Manipal, Karnataka, India

Nithesh Naik is a technologist and innovator with a distinguished career spanning academia, industry, and research. He currently serves as the Chief Technical Officer at Curiouz TechLab Private Limited, where he leads ground-breaking initiatives at the intersection of technology and healthcare. Nithesh is also a Fellow of the Engineered Science Society, recognizing his significant contributions to the field, and holds the position of Secretary at the International Training and Research in Uro-oncology and Endourology (iTRUE), showcasing his commitment to advancing medical research and education. Earlier he worked with companies like Emirates (ETA), Honeywell Technologies, Tata Consultancy Limited.

Nithesh's influence extends beyond his primary roles. He plays a pivotal role as the Coordinator of the INTEL India Unnati® – Artificial Intelligence Lab in Manipal, spearheading initiatives that harness the power of AI to drive transformative change. His impact is also felt in the academic community, where he serves on the editorial boards of esteemed journals like Therapeutic Advances in Urology (TAU), Engineered Science, Frontiers in Surgery, Frontiers in Medicine, and Frontiers in Materials. His editorial contributions reflect his deep understanding of diverse domains, showcasing his versatility and multidisciplinary approach.

He was honored with the Young Innovator Award by the ASEAN Academic Network and ESS Society at the iDEAAS 2024 ceremony hosted at MAHSA University, Malaysia, acknowledging his innovative spirit and impactful work. His dedication to pushing the boundaries of knowledge is evident in his extensive publication record, comprising over 200 SCI and Scopus Publications, alongside 7 Patents granted by the India Patents Office, Government of India. He has a Startup Grant from BIRAC, Government of India.

In addition to his academic and professional achievements, Nithesh is passionate about leveraging technology for societal impact. He has developed pioneering healthcare mobile applications, including the UROSTENTZ Mobile Application, which revolutionizes patient care by providing comprehensive tracking and management tools for stone disease patients.

Princy Randhawa

Dayananda Sagar University, Bengaluru, India

Princy Randhawa is an Associate Professor in the Department of Computer Science & Engineering (Artificial Intelligence & Machine Learning) at Dayananda Sagar University, Bengaluru. She holds a PhD in Wearable Technology using AI & ML from Manipal University Jaipur, along with an MBA in Business Analytics and Data Science, an MTech. in Control Systems, and a B.Tech. in Applied Electronics and Instrumentation.

She has published 40+ Scopus-indexed research papers, authored 6 book chapters, holds 7 patents/copyrights, and has an H-index of 14. She has presented her research at leading national and international conferences, including the University of Oxford, UK.

In 2025, she received the prestigious Seal of Excellence from the European Commission under the Marie Sklodowska-Curie Actions Postdoctoral Fellowships (MSCA PF 2025). Her other recognitions include the Dr Ramdas Pai Professional Excellence Award (2023–24), the All-Rounder Award (Best Teacher, Administrator, and Researcher), multiple Best Paper Awards including Wiley AMSCA-2025 (South Korea), and the SERB International Travel Grant (2023).

Dr. Randhawa has served as a Convener, Technical Committee Member, Session Chair, and AICTE ATAL FDP Coordinator/Co-coordinator. She is also an active reviewer for reputed Q1 and Q2 journals and has organized community awareness programmes on cancer prevention, women's health, hygiene, and COVID-19.

George Tsaramirsis

University of Wollongong, Dubai

George Tsaramirsis is an Associate Professor at the Faculty of Engineering and Information Sciences, University of Wollongong in Dubai. He earned his PhD from King’s College London, which was ranked in the top 20 by the QS World University Rankings at the time of his graduation.

His areas of expertise include Gaming, Mixed Reality, Internet of Things (IoT), Drones, and Software Engineering. He has supervised and co-supervised numerous PhD and MSc theses and has guided various undergraduate capstone projects. Dr George has an extensive publication record in both journals and conference proceedings.

Before joining the University of Wollongong in Dubai, Dr George was a full-time faculty member at the Higher Colleges of Technology in Abu Dhabi, UAE, and King Abdulaziz University in Jeddah, Saudi Arabia. There, he taught a range of courses at both the graduate and undergraduate levels, including Project Management, Enterprise Architecture, Computer Graphics, Software Design Patterns, Advanced Software Engineering, and Computer Games Development. His industrial experience includes positions at leading financial institutions like the Bank of Ireland, Barclays Plc, and the London Stock Exchange, through his work with Accenture in the UK. Dr George is renowned for his teamwork, effective communication and presentation skills, and his ability to thrive under pressure. He excels in adapting to sudden and frequent changes in plans. His primary strength, however, lies in his capacity to integrate technology into highly innovative solutions.

Nisarg Mehta

Indian Institute of Technology, Jodhpur, India

Nisarg Mehta is a Ph.D. Scholar at the School of Management and Entrepreneurship, Indian Institute of Technology (IIT) Jodhpur, India. His research focuses on trustworthy artificial intelligence, liquid neural networks, federated learning, Internet of Medical Things (IoMT) security, cybersecurity governance, and digital transformation. His work integrates advanced AI architectures with management and governance perspectives to address real-world challenges in healthcare, critical infrastructure, and intelligent enterprise systems.

Nisarg serves as an editor and reviewer for academic books and international publications in the areas of artificial intelligence, information systems, and digital technologies. His research emphasizes reproducible AI, adaptive machine learning, explainable intelligent systems, and secure data-driven decision-making. He has contributed to interdisciplinary research projects involving AI-enabled healthcare, cyber resilience, and emerging digital ecosystems, collaborating with researchers from academia, industry, and international institutions.

His scholarly interests include trustworthy AI, continuous-time neural networks, federated intelligence, AI governance, digital competitiveness, and the strategic application of emerging technologies. Through his research, editorial activities, and academic collaborations, he seeks to bridge the gap between cutting-edge AI innovation and managerial practice, contributing to the development of resilient, secure, and responsible intelligent systems for the digital economy.