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Beskrivning
This book provides use case scenarios of machine learning, artificial intelligence, and real-time domains to supplement cyber security operations and proactively predict attacks and preempt cyber incidents.
Dr. Akashdeep Bhardwaj is currently working as Professor of Cybersecurity & Digital Forensics with University of Petroleum & Energy Studies (UPES) in Dehradun, India. Akash holds PhD in Cloud Security, Masters in Business Administration and Bachelor of Engineering in Computer Science. Akash has over 25 years of Academic & IT Industry experience working for global multinational organizations including British Telecom, Fiserv, Cvent, Motricity, and SafeNet Asia. Akash has published over 55 research papers, books and patents, in areas of Cyber Security, IT Operations Management, Cybercrime Investigations, IT Infrastructure and Cloud Computing. Varun Sapra is an Assistant Professor of Computer Science at the University of Petroleum & Energy Studies, Dehradun, India. Varun is pursuing his PhD in Computer Science Jagannath University, Jaipur and has over 15 years of experience in the field of Software Development, Social Media Branding, and Academics. Varun has worked as Assistant Professor at uru Gobind Singh Indraprastha University, andalso worked in the IT Software Industry with CMA, BSA Logistics, WebOpac Applications and Cupid Software.
Innehållsförteckning
Introduction.- By Failing to Prepare – You are preparing to Fail.- Authentication Methods and Applications.- Design of Blockchain Polynomial Digests to Secure Method Authentication.- Need of Cybersecurity for ERP Systems.- IoT – Architecture Vulnerabilities and Security Measures.- Cybersecurity Advanced Persistent Threat Attacks.- Securing Deep Learning Neural Networks.- Three Tier Architecture to Mitigate DDoS attacks on Hybrid Cloud Environments.- Conclusion.