000 | 06313cam a2200577Ki 4500 | ||
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001 | 9781003140023 | ||
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005 | 20230516170548.0 | ||
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007 | cr cnu|||unuuu | ||
008 | 211007s2021 xx o 000 0 eng d | ||
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_a9781003140023 _q(electronic bk.) |
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_a1003140025 _q(electronic bk.) |
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035 | _a(OCoLC)1273728263 | ||
035 | _a(OCoLC-P)1273728263 | ||
050 | 4 | _aQA76.9.A25 | |
072 | 7 |
_aCOM _x053000 _2bisacsh |
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_a005.8 _223/eng/20211007 |
245 | 0 | 0 |
_aAdvanced smart computing technologies in cybersecurity and forensics / _cedited by Keshav Kaushik, Shubham Tayal, Akashdeep Bhardwaj, and Manoj Kumar. |
250 | _aFirst edition. | ||
264 | 1 |
_a[Place of publication not identified] : _bCRC Press, _c2021. |
|
300 | _a1 online resource (xvi, 248 pages). | ||
336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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505 | 0 | _a1. Detection of Cross-Site Scripting and Phishing Website Vulnerabilities Using Machine Learning.J. Charu, S. Sunil, and C. Aarti2. A Review: Security and Privacy Defensive Techniques for Cyber Security Using Deep Neural Networks (DNNs).Prachi Chauhan, Hardwari Lal Mandoria, andAlok Negi3. DNA-Based Cryptosystem for Connected Objects and IoT Security.Brahim Belhorma, Mounir Bouhedda, Billel Bengherbia, and Omar Benzineb4. A Role of Digital Evidence: Mobile Forensics Data.G. Maria Jones, S. Godfrey Winster, and L. Ancy Geoferla5. Analysis of Kernel Vulnerabilities Using Machine Learning. Supriya Raheja, Rakesh Garg, andBhavya Gururani6. Cyber Threat Exploitation and Growth during COVID-19 Times.Romil Rawat, Bhagwati Garg, Vinod Mahor, Mukesh Chouhan, Kiran Pachlasiya, and Shrikant Telang7. An Overview of the Cybersecurity in Smart Cities in the Modern Digital Age.Reinaldo Padilha França, Ana Carolina Borges Monteiro, Rangel Arthur, and Yuzo Iano8. The Fundamentals and Potential for Cyber Security of Machine Learning in the Modern World. Ana Carolina Borges Monteiro, Reinaldo Padilha França, Rangel Arthur, and Yuzo Iano9. Qualitative and Quantitative Evaluation of Encryption Algorithms.Rakesh Garg, Supriya Raheja, and Durgesh Pandey10. Analysis and Investigation of Advanced Malware Forensics.P. S. Apirajitha, S. Punitha, and Stephan Thompson11. Network Intrusion Detection System Using Naïve Bayes Classification Technique for Anomaly Detection.Sam Goundar,Manveer Singh,Rahul Chand, andAkashdeep Bhardwaj12. Data Security Analysis in Mobile Cloud Computing for Cyber Security.Sam Goundar andAkashdeep Bhardwaj13. AComprehensive Review of Investigations of Suspects of Cyber Crimes. Joshua Nehinbe Ojo14. Fault Analysis Techniques in Lightweight Ciphers for IoT Devices.Priyanka Joshi andBodhisatwa Mazumdar | |
520 | _aThis 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 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. It 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 their scholarly knowledge to achieve sustainable development and foster sustainability. Readers will gain valuable knowledge and insights about smart computing technologies using this exciting book. This book: " Includes detailed applications of cybersecurity and forensics for real-life problems " Addresses the challenges and solutions related to implementing 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 Prof. Keshav Kaushik is 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 Assistant Professor at SR University, Warangal. Dr. Akashdeep Bhardwaj is Professor (Cyber Security & Digital Forensics) at the University of Petroleum & Energy Studies (UPES), Dehradun, India. Dr. Manoj Kumar is Assistant Professor (SG) (SoCS) at the University of Petroleum and Energy Studies, Dehradun. | ||
588 | _aOCLC-licensed vendor bibliographic record. | ||
650 | 7 |
_aCOMPUTERS / Security / General _2bisacsh _96769 |
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650 | 7 |
_aCOMPUTERS / Computer Engineering _2bisacsh _94770 |
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650 | 7 |
_aCOMPUTERS / Cryptography _2bisacsh _910825 |
|
650 | 0 |
_aComputer security. _93970 |
|
650 | 0 |
_aComputer crimes _xInvestigation. _95585 |
|
700 | 1 |
_aKaushik, Keshav, _eeditor. _971522 |
|
700 | 1 |
_aTayal, Shubham, _eeditor. _971523 |
|
700 | 1 |
_aBhardwaj, Akashdeep, _d1971- _eeditor. _971524 |
|
700 | 1 |
_aKumar, Manoj _c(Professor of computer science), _eeditor. _971525 |
|
856 | 4 | 0 |
_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781003140023 |
856 | 4 | 2 |
_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
942 | _cEBK | ||
999 |
_c83051 _d83051 |