Cyber-Physical Systems Security

This book is a comprehensive and cutting-edge exploration of the complexities surrounding the protection and resilience of cyber-physical systems. It delves into the critical interplay between physical components and computer systems in various domains, such as transportation, health care, manufacturing, and energy systems. The technical content of the book is divided into multiple sections, each meticulously crafted to address the key challenges and methodologies relevant to securing cyber-physical systems. The book examines the current state-of-the-art in cyber-physical systems security, showcasing the latest research findings and theoretical discussions. Key topics include the integration of technologies like IoT, AI, machine learning, and embedded systems within cyber-physical systems, and how security considerations can be effectively woven into these technologies. By adopting a multi-disciplinary approach, this book provides readers with an encompassing view of the subject matter, ensuring that both technical specialists and professionals from diverse backgrounds can benefit from its insights. The book includes practical applications and real-world case studies to illustrate how security methods and models can be successfully deployed in various scenarios. By bridging the gap between theory and practice, this book equips the readers with invaluable tools to address security challenges effectively, ensuring the resilience and reliability of the cyber-physical systems of the future.

Highlights cyber-physical systems security, encompassing a wide range of methods, models, and practical applications Presents a multi-disciplinary approach, considering the complex interplay between physical components & computer systems Discusses the integration of technologies like IoT, AI, ML, and embedded systems within cyber-physical systems

Autorentext

Dr. Amitava Choudhury working as an assistant professor in the department of Computer Science and Engineering, Pandit Deendayal Energy University, Gandhinagar, India. He did his Ph.D. from India Institute of Engineering Science, and Technology, Shibpur, India, and Master of Technology from Jadavpur University, Kolkata, India. He has more than nine years of experience in teaching and two years in research work. His area of research interest is computational geometry in the field of micromechanical modelling, Pattern recognition, Character recognition, and Machine Learning.

Dr. Keshav Kaushik is an accomplished academician, cybersecurity, and digital forensics expert currently serving as an Associate Professor in the Department of Computer Science & Engineering, Sharda School of Engineering & Technology, Sharda University, Greater Noida, India. As a key member of the Cybersecurity Centre of Excellence, he has been instrumental in advancing the field of cybersecurity through his dedicated teaching and innovative research. In addition to his academic role, he holds the prestigious position of Vice-Chairperson for the Meerut ACM Professional Chapter, highlighting his leadership and commitment to the professional community. In 2024, he is listed in the World’s top 2% Scientist released by Stanford University and Elsevier. His academic journey includes a notable stint as a Faculty Intern during the Summer Faculty Research Fellow Programme 2016 at the Indian Institute of Technology (IIT) Ropar, reflecting his continuous pursuit of knowledge and professional development. His scholarly contributions are extensive and impactful, with over 150 publications to his credit. This includes 25 peer-reviewed articles in SCI/SCIE/Scopus-indexed journals and 50+ publications in Scopus-indexed conferences. He is also an inventor, holding one granted patent and six published patents, alongside five granted copyrights. His editorial expertise is showcased by publishing 30 books and 25 book chapters, further cementing his reputation as a thought leader in the field. His professional certifications are a testament to his expertise and commitment to excellence. He is a Certified Ethical Hacker (CEH v11) by EC-Council, a CQI and IRCA Certified ISO/IEC 27001:2013 Lead Auditor, a Quick Heal Academy Certified Cyber Security Professional (QCSP), and an IBM Cybersecurity Analyst. His recognition as a Bentham Ambassador by Bentham Science Publishers and his role as a Guest Editor for the IEEE Journal of Biomedical and Health Informatics underscore his influence and authority in cybersecurity. He is a dynamic speaker, having delivered over 50 national and international talks on cybersecurity and digital forensics topics. His mentorship was acknowledged during the Smart India Hackathon 2017, under the aegis of the Indian Space Research Organization (ISRO), with a certificate of appreciation from AICTE, MHRD, and i4c. A two-time GATE qualifier with an impressive 96.07 percentile (2012 and 2016), he has also received accolades from the Uttarakhand Police for his significant contributions to cybercrime investigation training. With a career marked by significant achievements and a profound impact on cybersecurity and digital forensics, he continues to inspire and lead in both academic and professional circles.

Dr. Vinay Kumar is an Assistant Professor in the Computer Science and Engineering department of National Institute of Technology Jamshedpur. He had completed his Ph.D. from Indian Institute of Technology BHU. He has a broad list of publications in SCI/SCIE indexed journals and IEEE transactions. His research interests lie in the field of Deep Learning, Software Engineering, Reliability and Safety Analysis of Computer based Systems.

Dr. Binod Kumar Singh is an Associate Professor in the Computer Science and Engineering department of National Institute of Technology Jamshedpur. He had completed his Ph.D. from Indian Institute of Technology Roorkee. He has a vast experience of 25 years in the research and education sector. He has a broad list of publications in SCI/SCIE indexed journals. His research interests lie in the field of Image Processing, Network Security, Cloud Computing and Distributed Systems.

Inhalt

Introduction to Bioinformatics and Cyber Physical Systems.- Big Data Analytics in Bioinformatics and Healthcare.- Machine Learning in Bioinformatics and Healthcare.- The Internet of Things and Bioinformatics Chapter 5: Personalized Medicine: Combining Bioinformatics and Cyber Physical Systems.- Medical Imaging and Bioinformatics.- Disease Diagnosis and Management using Bioinformatics and Cyber Physical Systems.- Ethical and Privacy Concerns in the Integration of Bioinformatics and Cyber Physical Systems in Healthcare.- Cybersecurity in Bioinformatics and Healthcare.- Interoperability in Bioinformatics and Cyber Physical Systems.- Interoperability in Bioinformatics and Cyber Physical Systems.- Current stateof bioinformatics and CPS in healthcare.