Synopsis
In the dynamic field of modern business, where cloud computing has become the primary focus of operations, a pressing issue arises - the persistent concerns of security, privacy, and trust in cloud environments. Organizations find themselves at a crossroads, caught between the immense benefits of cloud adoption and the escalating challenges of safeguarding sensitive data and maintaining user trust. The need for a comprehensive and practical guide to navigate these intricate landscapes has never been more critical. Analyzing and Mitigating Security Risks in Cloud Computing is a groundbreaking guidebook tailored to address the very challenges that organizations face in securing their cloud infrastructures. With a focus on real-world examples, case studies, and industry best practices, the book equips its readers with actionable insights and tools to fortify their cloud security posture. From understanding the fundamentals of cloud computing to addressing emerging trends and implementing robust security strategies, the book serves as a holistic solution to bridge the knowledge gap and empower professionals at every level.
About the Authors
Dr. Pawan Kr. Goel, is a accomplished academician and researcher with 18 years of experience, is an Associate Professor at Raj Kumar Goel Institute of Technology, Ghaziabad. He holds a Ph.D. in Computer Science Engineering and is UGC NET qualified. His expertise spans various domains, including wireless sensor networks, cloud computing, and artificial intelligence. Dr. Goel has published extensively in prestigious journals and conferences, with notable papers on topics such as cybersecurity, IoT, and machine learning. He is an active member of numerous professional bodies, including the Computer Society of India and the International Association of Engineers. Recognized for his contributions, he has received several awards and certificates of appreciation. Dr. Goel is dedicated to fostering industry-academia collaborations and has organized numerous workshops and seminars. He is also involved in various training programs, MOOCs, and NPTEL certifications, contributing significantly to the advancement of education and research in his field.
Hari Mohan Pandey works in data science and artificial intelligence at school of technology Bournemouth University, UK. They are featured in the 2022 World Ranking list of Top 2% scientist by Sandford University. They specialized in Computer Science & Engineering. My research area includes artificial intelligence, soft computing techniques, natural language processing, language acquisition, machine learning, deep learning and computer vision. They have been an author of various books in computer science engineering (algorithms, programming and evolutionary algorithms). Recently, my book entitle "State of the Art on Grammatical Inference Using Evolutionary Method " has been published in Elsevier. They have published over 120 scientific papers in reputed journals and conferences. They are serving on the editorial board of reputed journals (including Neural Networks Elsevier, Applied Soft Computing Elsevier, Swarm and Evolutionary Computing Elsevier, Neural Computing and Applications Springer, IEEE Transactions of Evolutionary Computation, IEEE Transactions on Industrial Informatics, Neurocomputing Springer, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Neural Networks and Learning Systems and Knowledge Based Systems Elsevier) as action editor, associate editor, and guest editor. They are a reviewer of top international conferences such as GECCO, CEC, IJCNN, BMVC, AAAI etc. They have delivered expert talks as keynote and invited speaker. They are a fellow of the HEA of the UK Professional Standards Framework (UKPSF) and have a rich teaching experience at the higher education level. They have delivered lecturers in the International summer/winter schools. I have been given the prestigious award "The Global Award for the Best Computer Science Faculty of the Year 2015", award for completing INDO-US project "GENTLE", award (Certificate of Exceptionalism) from the Prime Minister of India and award for developing innovative teaching and learning models for higher-education. In past, They worked as a sr. lecturer in computer science department at Edge Hill University. They also worked as a research fellow machine learning at the school of technology at Middlesex University London where they worked on a European Commission project- DREAM4CARS. My role was to research and develop advanced machine learning techniques relevant to the project goals and to evaluate these on both project & reference data sets. To lead and manage relevant work packages in support of the project, ensuring appropriate interfacing with partners.
Dr. Amit Singhal is an accomplished academician with a Ph.D. in Computer Science & Engineering (2011) and over 30 research publications in esteemed international and national journals/conferences. Currently serving as Professor & Head of the Computer Science and Engineering department at Raj Kumar Goel Institute of Technology, Ghaziabad, Dr. Singhal has held leadership positions at Babu Banarasi Das Institute of Technology, Ghaziabad, and contributed as an Assistant Professor at ABES Engineering College, Ghaziabad. He is a member of various professional bodies, including the Indian Society for Technical Education and the Computer Science Teachers Association. Dr. Singhal's commitment to excellence in education and research continues to inspire the field of computer science and engineering.
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