Advanced Smart Computing Technologies in Cybersecurity and Forensics  book cover
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Advanced Smart Computing Technologies in Cybersecurity and Forensics



  • Available for pre-order. Item will ship after December 16, 2021
ISBN 9780367686505
December 16, 2021 Forthcoming by CRC Press
264 Pages 100 B/W Illustrations

 
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Book Description

This book addresses the topics related to artificial intelligence, internet of things, blockchain technology, and machine learning and brings together researchers, developers, practitioners, and users interested in cybersecurity and forensics. The first objective is to learn and understand the need and impact of advanced cybersecurity and forensics and how it is implemented with multiple smart computational technologies. This objective will answer why and how cybersecurity and forensics have evolved themselves as one of the most promising and widely accepted technology globally and has widely accepted applications. The second objective is to learn how to use advanced cybersecurity and forensics practices to answer many computational problems where confidentiality, integrity, and availability are essential aspects to handle and answer. This book is structured in such a way so that the field of study is relevant to each reader’s major or interests. The book aims to help each reader see the relevance of cybersecurity and forensics to their career or interests. This book intends to encourage researchers to develop novel theories to enrich the scholar’s knowledge to achieve sustainable development and foster sustainability. The readers will gain valuable knowledge and insights about smart computing technologies using this interesting book.

• Includes detailed applications of cybersecurity and forensics for real-life problems

• Addresses the challenges and solutions related to the implementation of cybersecurity in multiple domains of smart computational technologies. Includes the latest trends and areas of research in cybersecurity and forensics

• Offers both quantitative and qualitative assessments of the topics Includes case studies that will be helpful for the researchers

Table of Contents

1. Detection of Cross Site Scripting and Phishing website Vulnerabilities Using Machine Learning. 
Sunil Sikka, Charu Jain, Aarti Chugh
2. A Review: Security and Privacy Defensive Techniques for Cyber Security using Deep Neural Networks (DNNs).
Prachi Chauhan, Hardwari Lal Mandoria, Alok Negi
3. DNA-Based Cryptosystem for Connected Objects and IoT Security.  
Belhorma Brahim, Bouhedda Mounir, Bengherbia Billel, Benzineb Omar
4. A Role of Digital Evidence: Mobile Forensics Data.  
G Maria Jones, S Godfrey Winster, L Ancy Geoferla
5. Analysis of Kernel Vulnerabilities using Machine Learning. 
Supriya Raheja, Rakesh Garg, Bhavya Gururani
6. Cyber Threat Exploitation and Growth during Covid-19 Times.  
Romil Rawat, Anand Singh Rajawat, Vinod Mahor, Bhagwati Garg
7. An Overview of the Cybersecurity in Smart Cities in the Modern Digital Age.
Reinaldo Padilha, Ana Carolina Borges Monteiro
8. The Fundamentals and Potential for Cyber Security of Machine Learning in the Modern World. 
Reinaldo Padilha, Ana Carolina Borges Monteiro
9. Qualitative and Quantitative Evaluation of Encryption Algorithms.  
Supriya Raheja, Rakesh Garg, Durgesh Pandey
10. Analysis and investigation of Advanced Malware Forensics.  
Apirajitha P. S., Punitha S, Thompson Stephan
11. Network Intrusion Detection System using Naïve Bayes Classification Technique for Anomaly Detection.  
Sam Goundar, Manveer Singh, Rahul Chand, Akashdeep Bhardwaj
12. Data Security Analysis in Mobile Cloud Computing for Cyber Security.  
Sam Goundar, Akashdeep Bhardwaj
13. A critical Review of Legal and Technical challenges during preliminary Investigations of Suspects of Cyber Crimes. 
Joshua Nehinbe
14. Fault Analysis Techniques in Lightweight Ciphers for IoT Devices.
Priyanka Joshi, Bodhisatwa Mazumdar

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Editor(s)

Biography

Prof. Keshav Kaushik is an Assistant Professor in the Department of Systemics, School of Computer Science at the University of Petroleum and Energy Studies, Dehradun, India.

Dr. Shubham Tayal is working as Associate Professor at Ashoka Institute of Engineering & Technology, Hyderabad.

Dr. Akashdeep Bhardwaj is working as Professor (Cyber Security & Digital Forensics) at University of Petroleum & Energy Studies (UPES), Dehradun, India. 

Dr. Manoj Kumar is working on the post of assistant professor (SG), (SoCS) in university of petroleum and energy studies, Dehradun. Priory, he was associated as Assistant Professor in computer science department of AMITY University, Noida.