Cyber Security and Digital Forensics (eBook, PDF)
Proceedings of ICCSDF 2021
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Proceedings of ICCSDF 2021
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This book features high-quality research papers presented at the International Conference on Applications and Techniques in Cyber Security and Digital Forensics (ICCSDF 2021), held at The NorthCap University, Gurugram, Haryana, India, during April 3–4, 2021. This book discusses the topics ranging from information security to cryptography, mobile application attacks to digital forensics, and from cyber security to blockchain. The goal of the book is to provide 360-degree view of cybersecurity to the readers which include cyber security issues, threats, vulnerabilities, novel idea, latest…mehr
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This book features high-quality research papers presented at the International Conference on Applications and Techniques in Cyber Security and Digital Forensics (ICCSDF 2021), held at The NorthCap University, Gurugram, Haryana, India, during April 3–4, 2021. This book discusses the topics ranging from information security to cryptography, mobile application attacks to digital forensics, and from cyber security to blockchain. The goal of the book is to provide 360-degree view of cybersecurity to the readers which include cyber security issues, threats, vulnerabilities, novel idea, latest technique and technology, and mitigation of threats and attacks along with demonstration of practical applications. This book also highlights the latest development, challenges, methodologies as well as other emerging areas in this field. It brings current understanding of common Web vulnerabilities while maintaining awareness and knowledge of contemporary standards, practices, procedures, and methods of Open Web Application Security Project. It also expounds how to recover information after a cybercrime.
Produktdetails
- Produktdetails
- Verlag: Springer Singapore
- Erscheinungstermin: 1. Oktober 2021
- Englisch
- ISBN-13: 9789811639616
- Artikelnr.: 62665356
- Verlag: Springer Singapore
- Erscheinungstermin: 1. Oktober 2021
- Englisch
- ISBN-13: 9789811639616
- Artikelnr.: 62665356
Prof. Kavita Khanna has done M.Tech. Computer Engineering, MDU, Rohtak,
and Ph.D. in Computer Graphics and Soft Computing Techniques, GGSIPU, Delhi.
With 21 years of teaching, administration, and research experience, currently she
is associated with The NorthCap University, Gurugram, as Professor and Head of
the Department (CSE Department). Her interests include artificial neural networks,
computer graphics, cryptographic techniques, artificial intelligence: metaheuristic
techniques, neural networks, machine learning, and analysis and design of algo-
rithms. She has more than 60 publications in reputed journals, conferences, and
chapters. She has guided many M.Tech. and Ph.D. students. Prof. Khanna is receiving
a research grant from the Department of Science and Technology (DST), India, and
NTRO for research projects. She has also organized various conferences, workshops,
FDPs and has been Reviewer, Session Chair, and Committee Member of conferences
and journals.
Vania Vieira Estrela B.S. degree from Federal University of Rio de Janeiro (UFRJ)
in Electrical and Computer Engineering (ECE); M.Sc. from the Technological Insti-
tute of Aeronautics (ITA), Brazil; M.Sc. degree in ECE at Northwestern University,
USA; and Ph.D. in ECE from the Illinois Institute of Technology (IIT), Chicago,
IL, USA. Taught at DePaul University, USA, and Universidade Estadual do Norte
Fluminense (UENF), Brazil. She was visiting professor at the Polytechnic Institute
of Rio de Janeiro (IPRJ)/State University of Rio de Janeiro (UERJ) in Brazil and
currently working at UFF’s Department of Telecommunications. Research interests
include signal/image/video processing, inverse problems, computational & mathe-
matical modeling, stochastic models, multimedia, communications, motion estima-
tion, machine learning, and geoprocessing. She reviews several journal/magazine
articles, and she is deputy editor of the Neuroscience Informatics journal (Elsevier).
She is engaged in technology transfer, STEAM education, environmental issues, and
digital inclusion. Editor of several books and special issues. Member of IEEE and
ACM.
Joel José Puga Coelho Rodrigues [Fellow, AAIA and IEEE] is a professor at the
Federal University of Piauí, Brazil; and senior researcher at the Instituto de Telecomu-
nicações, Portugal. Prof. Rodrigues is the leader of the Next Generation Networks and
Applications (NetGNA) research group (CNPq), an IEEE Distinguished Lecturer,
Member Representative of the IEEE Communications Society on the IEEE Biomet-
rics Council, and the President of the scientific council at ParkUrbis—Covilhã
Science and Technology Park. He was Director for Conference Development—
IEEE ComSoc Board of Governors, Technical Activities Committee Chair of the
IEEE ComSoc Latin America Region Board, a Past-Chair of the IEEE ComSoc
Technical Committee (TC) on eHealth and the TC on Communications Software,
a Steering Committee member of the IEEE Life Sciences Technical Community
and Publications co-Chair. He is the editor-in-chief of the International Journal of
E-Health and Medical Communications and editorial board member of several high-
reputed journals (mainly, from IEEE). He has been general chair and TPC Chair
of many international conferences, including IEEE ICC, IEEE GLOBECOM, IEEE
HEALTHCOM, and IEEE LatinCom. He has authored or coauthored about 1000
papers in refereed international journals and conferences, 3 books, 2 patents, and
1 ITU-T Recommendation. He had been awarded several Outstanding Leadership
and Outstanding Service Awards by IEEE Communications Society and several best
papers awards. Prof. Rodrigues is a member of the Internet Society, a senior member
ACM, and Fellow of AAIA and IEEE.
and Ph.D. in Computer Graphics and Soft Computing Techniques, GGSIPU, Delhi.
With 21 years of teaching, administration, and research experience, currently she
is associated with The NorthCap University, Gurugram, as Professor and Head of
the Department (CSE Department). Her interests include artificial neural networks,
computer graphics, cryptographic techniques, artificial intelligence: metaheuristic
techniques, neural networks, machine learning, and analysis and design of algo-
rithms. She has more than 60 publications in reputed journals, conferences, and
chapters. She has guided many M.Tech. and Ph.D. students. Prof. Khanna is receiving
a research grant from the Department of Science and Technology (DST), India, and
NTRO for research projects. She has also organized various conferences, workshops,
FDPs and has been Reviewer, Session Chair, and Committee Member of conferences
and journals.
Vania Vieira Estrela B.S. degree from Federal University of Rio de Janeiro (UFRJ)
in Electrical and Computer Engineering (ECE); M.Sc. from the Technological Insti-
tute of Aeronautics (ITA), Brazil; M.Sc. degree in ECE at Northwestern University,
USA; and Ph.D. in ECE from the Illinois Institute of Technology (IIT), Chicago,
IL, USA. Taught at DePaul University, USA, and Universidade Estadual do Norte
Fluminense (UENF), Brazil. She was visiting professor at the Polytechnic Institute
of Rio de Janeiro (IPRJ)/State University of Rio de Janeiro (UERJ) in Brazil and
currently working at UFF’s Department of Telecommunications. Research interests
include signal/image/video processing, inverse problems, computational & mathe-
matical modeling, stochastic models, multimedia, communications, motion estima-
tion, machine learning, and geoprocessing. She reviews several journal/magazine
articles, and she is deputy editor of the Neuroscience Informatics journal (Elsevier).
She is engaged in technology transfer, STEAM education, environmental issues, and
digital inclusion. Editor of several books and special issues. Member of IEEE and
ACM.
Joel José Puga Coelho Rodrigues [Fellow, AAIA and IEEE] is a professor at the
Federal University of Piauí, Brazil; and senior researcher at the Instituto de Telecomu-
nicações, Portugal. Prof. Rodrigues is the leader of the Next Generation Networks and
Applications (NetGNA) research group (CNPq), an IEEE Distinguished Lecturer,
Member Representative of the IEEE Communications Society on the IEEE Biomet-
rics Council, and the President of the scientific council at ParkUrbis—Covilhã
Science and Technology Park. He was Director for Conference Development—
IEEE ComSoc Board of Governors, Technical Activities Committee Chair of the
IEEE ComSoc Latin America Region Board, a Past-Chair of the IEEE ComSoc
Technical Committee (TC) on eHealth and the TC on Communications Software,
a Steering Committee member of the IEEE Life Sciences Technical Community
and Publications co-Chair. He is the editor-in-chief of the International Journal of
E-Health and Medical Communications and editorial board member of several high-
reputed journals (mainly, from IEEE). He has been general chair and TPC Chair
of many international conferences, including IEEE ICC, IEEE GLOBECOM, IEEE
HEALTHCOM, and IEEE LatinCom. He has authored or coauthored about 1000
papers in refereed international journals and conferences, 3 books, 2 patents, and
1 ITU-T Recommendation. He had been awarded several Outstanding Leadership
and Outstanding Service Awards by IEEE Communications Society and several best
papers awards. Prof. Rodrigues is a member of the Internet Society, a senior member
ACM, and Fellow of AAIA and IEEE.
Chapter 1. A systematic approach for analyzing log files based on string matching regular expressions.- Chapter 2. An efficient detection and prevention approach of unknown malicious attack: A novel honeypot approach.- Chapter 3. Analysis of Risk and Security within Fog Computing enabled e-Healthcare System in Uttarakhand.- Chapter 4. Android Malware Detection using Extreme Learning Machine optimized with Swarm Intelligence.- Chapter 5. Asymmetric Image Cryptosystem Based on Chaotic Zone Plate Phase Mask and Arnold Transform.- Chapter 6. Authentication of Digital Media using Reversible Watermarking.- Chapter 7. Automatic Test Case Generation and Fault Tolerant Framework Based on N Version and Recovery Block Mechanism.- Chapter 8. Chatbot to Map Medical Prognosis and Symptoms using Machine Learning.- Chapter 9. Cloud Security: The Future of Data Storage.- Chapter 10. Curbing Criminal Acts on Mobile Phone Network.- Chapter 11. Designing of Fuzzy logic-based Intrusion detection system (FIDS) for detection of Blckhole attack in AODV for MANETs.- Chapter 12. Detection of Phishing Websites Using Classification Algorithms.- Chapter 13. IoT Based Smart Security System for Agriculture Fields.- Chapter 14. Efficient Clustering of Transactional data for Privacy-Preserving Data Publishing.- Chapter 15. Passive Video Forgery Detection Techniques to Detect Copy Move Tampering through Feature Comparison and RANSAC.
Chapter 1. A systematic approach for analyzing log files based on string matching regular expressions.- Chapter 2. An efficient detection and prevention approach of unknown malicious attack: A novel honeypot approach.- Chapter 3. Analysis of Risk and Security within Fog Computing enabled e-Healthcare System in Uttarakhand.- Chapter 4. Android Malware Detection using Extreme Learning Machine optimized with Swarm Intelligence.- Chapter 5. Asymmetric Image Cryptosystem Based on Chaotic Zone Plate Phase Mask and Arnold Transform.- Chapter 6. Authentication of Digital Media using Reversible Watermarking.- Chapter 7. Automatic Test Case Generation and Fault Tolerant Framework Based on N Version and Recovery Block Mechanism.- Chapter 8. Chatbot to Map Medical Prognosis and Symptoms using Machine Learning.- Chapter 9. Cloud Security: The Future of Data Storage.- Chapter 10. Curbing Criminal Acts on Mobile Phone Network.- Chapter 11. Designing of Fuzzy logic-based Intrusion detection system (FIDS) for detection of Blckhole attack in AODV for MANETs.- Chapter 12. Detection of Phishing Websites Using Classification Algorithms.- Chapter 13. IoT Based Smart Security System for Agriculture Fields.- Chapter 14. Efficient Clustering of Transactional data for Privacy-Preserving Data Publishing.- Chapter 15. Passive Video Forgery Detection Techniques to Detect Copy Move Tampering through Feature Comparison and RANSAC.
Chapter 1. A systematic approach for analyzing log files based on string matching regular expressions.- Chapter 2. An efficient detection and prevention approach of unknown malicious attack: A novel honeypot approach.- Chapter 3. Analysis of Risk and Security within Fog Computing enabled e-Healthcare System in Uttarakhand.- Chapter 4. Android Malware Detection using Extreme Learning Machine optimized with Swarm Intelligence.- Chapter 5. Asymmetric Image Cryptosystem Based on Chaotic Zone Plate Phase Mask and Arnold Transform.- Chapter 6. Authentication of Digital Media using Reversible Watermarking.- Chapter 7. Automatic Test Case Generation and Fault Tolerant Framework Based on N Version and Recovery Block Mechanism.- Chapter 8. Chatbot to Map Medical Prognosis and Symptoms using Machine Learning.- Chapter 9. Cloud Security: The Future of Data Storage.- Chapter 10. Curbing Criminal Acts on Mobile Phone Network.- Chapter 11. Designing of Fuzzy logic-based Intrusion detection system (FIDS) for detection of Blckhole attack in AODV for MANETs.- Chapter 12. Detection of Phishing Websites Using Classification Algorithms.- Chapter 13. IoT Based Smart Security System for Agriculture Fields.- Chapter 14. Efficient Clustering of Transactional data for Privacy-Preserving Data Publishing.- Chapter 15. Passive Video Forgery Detection Techniques to Detect Copy Move Tampering through Feature Comparison and RANSAC.
Chapter 1. A systematic approach for analyzing log files based on string matching regular expressions.- Chapter 2. An efficient detection and prevention approach of unknown malicious attack: A novel honeypot approach.- Chapter 3. Analysis of Risk and Security within Fog Computing enabled e-Healthcare System in Uttarakhand.- Chapter 4. Android Malware Detection using Extreme Learning Machine optimized with Swarm Intelligence.- Chapter 5. Asymmetric Image Cryptosystem Based on Chaotic Zone Plate Phase Mask and Arnold Transform.- Chapter 6. Authentication of Digital Media using Reversible Watermarking.- Chapter 7. Automatic Test Case Generation and Fault Tolerant Framework Based on N Version and Recovery Block Mechanism.- Chapter 8. Chatbot to Map Medical Prognosis and Symptoms using Machine Learning.- Chapter 9. Cloud Security: The Future of Data Storage.- Chapter 10. Curbing Criminal Acts on Mobile Phone Network.- Chapter 11. Designing of Fuzzy logic-based Intrusion detection system (FIDS) for detection of Blckhole attack in AODV for MANETs.- Chapter 12. Detection of Phishing Websites Using Classification Algorithms.- Chapter 13. IoT Based Smart Security System for Agriculture Fields.- Chapter 14. Efficient Clustering of Transactional data for Privacy-Preserving Data Publishing.- Chapter 15. Passive Video Forgery Detection Techniques to Detect Copy Move Tampering through Feature Comparison and RANSAC.