Advanced Smart Computing Technologies in Cybersecurity and Forensics 1st Edition by Keshav Kaushik (Editor) 0367686503 9780367686505

Advanced Smart Computing Technologies in Cybersecurity and Forensics 1st Edition Keshav Kaushik (Editor) – Ebook Instant Download/Delivery ISBN(s): 9780367686505,0367686503

Product details:

• ISBN 10:0367686503
• ISBN 13: 9780367686505
• Author:Keshav Kaushik, Shubham Tayal, Akashdeep Bhardwaj, Manoj Kumar

This book addresses the topics related to artificial intelligence, the Internet of Things, blockchain technology, and machine learning. It brings together researchers, developers, practitioners, and users interested in cybersecurity and forensics. The first objective is to learn and understand the need for and impact of advanced cybersecurity and forensics and its implementation with multiple smart computational technologies. This objective answers why and how cybersecurity and forensics have evolved as one of the most promising and widely-accepted technologies globally and has widely-accepted applications. The second objective is to learn how to use advanced cybersecurity and forensics practices to answer computational problems where confidentiality, integrity, and availability are essential aspects to handle and answer.

Table contents:

1 Detection of Cross-Site Scripting and Phishing Website Vulnerabilities Using Machine Learning
2 A Review: Security and Privacy Defensive Techniques for Cyber Security Using Deep Neural Networks
3 DNA-Based Cryptosystem for Connected Objects and IoT Security
4 A Role of Digital Evidence: Mobile Forensics Data
5 Analysis of Kernel Vulnerabilities Using Machine Learning
6 Cyber Threat Exploitation and Growth during COVID-19 Times
7 An Overview of the Cybersecurity in Smart Cities in the Modern Digital Age
8 The Fundamentals and Potential for Cyber Security of Machine Learning in the Modern World
9 Qualitative and Quantitative Evaluation of Encryption Algorithms
10 Analysis and Investigation of Advanced Malware Forensics
11 Network Intrusion Detection System Using Naïve Bayes Classification Technique for Anomaly Detection
12 Data Security Analysis in Mobile Cloud Computing for Cyber Security
13 A Comprehensive Review of Investigations of Suspects of Cyber Crimes
14 Fault Analysis Techniques in Lightweight Ciphers for IoT Devi

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