Human Impact on Security and Privacy: Network and Human Security, Social Media, and Devices

Human Impact on Security and Privacy: Network and Human Security, Social Media, and Devices

Release Date: October, 2024|Copyright: © 2025 |Pages: 404
DOI: 10.4018/979-8-3693-9235-5
ISBN13: 9798369392355|ISBN13 Softcover: 9798369392362|EISBN13: 9798369392379
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Description & Coverage
Description:

In an era defined by rapid technological advancements and an increasingly interconnected world, the challenges and opportunities presented by digitalization demand a new approach. The digital world, characterized by optimized, sustainable, and digitally networked solutions, necessitates the integration of intelligence systems, machine learning, deep learning, blockchain methods, and robust cybersecurity measures. Understanding these complex challenges and adapting the synergistic utilization of cutting-edge technologies are becoming increasingly necessary.

Human Impact on Security and Privacy: Network and Human Security, Social Media, and Devices provides a global perspective on current and future trends concerning the integration of intelligent systems with cybersecurity applications. It offers a comprehensive exploration of ethical considerations within the realms of security, artificial intelligence, agriculture, and data science. Covering topics such as the evolving landscape of cybersecurity, social engineering perspectives, and algorithmic transparency, this publication is particularly valuable for researchers, industry professionals, academics, and policymakers in fields such as agriculture, cybersecurity, AI, data science, computer science, and ethics.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Cloud Storage
  • Cyber Threats
  • Cyber-Physical Systems
  • Cybersecurity Vulnerabilities
  • DDoS Attacks
  • Deep Learning
  • Enhancing Security in Cyber Environments
  • Face Recognition
  • Human Factors
  • Intersection of IoT
  • Keyloggers
  • Kinship Verification
  • Legal Standpoints
  • Load Balancing
  • Machine Learning
  • Prevention of Security Breaches
  • Privacy Validation Methodology
  • Psychology
  • SDN Networks
  • Smart Home Devices
  • Social Media
  • User Security
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Editor/Author Biographies
Rajeev Kumar is a distinguished academician and academic administrator with over 15 years of experience in fostering excellence in professional education. He is currently serving as a Professor in the Computer Science and Engineering Department at Moradabad Institute of Technology, Moradabad, Uttar Pradesh, India. Prof. Kumar holds a Ph.D. in Computer Science, a D.Sc. (Post-Doctoral Degree) in Computer Science, and a Postdoctoral Fellowship from Malaysia. His academic credentials are further bolstered by certifications in Data Science and Machine Learning using Python and R Programming from IIM Raipur, as well as additional certifications from IBM and Google. A senior member of IEEE, he actively participates in the IEEE Young Professional Committee and holds memberships in the Computer Society of India (CSI) and SMIEEE. His academic areas of interest and specialization include Artificial Intelligence, Cloud Computing, e-Governance, and Networking.
Saurabh Srivastava is an Assistant Professor of Department of Computer Science & Engineering (Data Science) at Moradabad Institute of Technology, Moradabad, India. He received P.hD. from Integral University Lucknow in 2023, and Master of Computer Application (MCA) from Dr. A.P.J. Abdul Kalam Technical University Lucknow in 2015. He is associated with research after MCA, and he has approx. 9 years of experience in research including Computer Vision & Image Processing, Satellite Image Interpretation and Analysis, Land Cover Mapping, Time Series Analysis, Requirement Engineering, Multi-Agent System, Cyber Security, Social Engineering etc. He has published extensively in renowned journals and has presented his research at numerous national and international conferences. Dr. Saurabh Srivastava is dedicated to fostering critical thinking and innovation among students and actively engages in mentoring emerging scholars.
Ahmed A. Elngar is an Associate Professor and Head of the Computer Science Department at the Faculty of Computers and Artificial Intelligence, Beni-Suef University, Egypt. Dr. Elngar is also, an Associate Professor of Computer Science at the College of Computer Information Technology, American University in the Emirates, United Arab Emirates. Also, Dr. AE is Adjunct Professor at School of Technology, Woxsen University, India. Dr. AE is the Founder and Head of the Scientific Innovation Research Group (SIRG). Dr. AE is a Director of the Technological and Informatics Studies Center (TISC), Faculty of Computers and Artificial Intelligence, Beni-Suef University. Dr. AE has more than 150 scientific research papers published in prestigious international journals and over 35 books covering such diverse topics as data mining, intelligent systems, social networks, and smart environment. Dr. AE is a collaborative researcher He is a member of the Egyptian Mathematical Society (EMS) and International Rough Set Society (IRSS). His other research areas include the Internet of Things (IoT), Network Security, Intrusion Detection, Machine Learning, Data Mining, and Artificial Intelligence. Big Data, Authentication, Cryptology, Healthcare Systems, Automation Systems. He is an Editor and Reviewer of many international journals around the world. Dr. AE won several awards including the Young Researcher in Computer Science Engineering”, from Global Outreach Education Summit and Awards 2019, on 31 January 2019 (Thursday) in Delhi, India.
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