Recent Advancements in Multimedia Data Processing and Security: Issues, Challenges, and Techniques

Recent Advancements in Multimedia Data Processing and Security: Issues, Challenges, and Techniques

Indexed In: SCOPUS
Release Date: September, 2023|Copyright: © 2023 |Pages: 288
DOI: 10.4018/978-1-6684-7216-3
ISBN13: 9781668472163|ISBN10: 1668472163|ISBN13 Softcover: 9781668472170|EISBN13: 9781668472187
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Description & Coverage
Description:

In the age of social media dominance, a staggering amount of textual data floods our online spaces daily. While this wealth of information presents boundless opportunities for research and understanding human behavior, it also poses substantial challenges. The sheer volume of data overwhelms traditional processing methods, and harnessing its potential requires sophisticated tools. Furthermore, the need for ensuring data security and mitigating risks in the digital realm has never been more pressing. Academic scholars, researchers, and professionals grapple with these issues daily, seeking innovative solutions to unlock the true value of multimedia data while safeguarding privacy and integrity.

Recent Advancements in Multimedia Data Processing and Security: Issues, Challenges, and Techniques is a groundbreaking book that serves as a beacon of light amidst the sea of data-related challenges. It offers a comprehensive solution by bridging the gap between academic research and practical applications. By delving into topics such as deep learning, emotion recognition, and high-dimensional text clustering, it equips scholars and professionals with the innovative tools and techniques they need to navigate the complex landscape of multimedia data.

This book not only addresses the problem of information overload but also provides a roadmap for enhancing data security in the digital age. Its relevance extends to a diverse audience, including researchers, mental health professionals, social scientists, educators, and information specialists. By integrating the latest advancements in natural language processing and machine learning, this resource empowers readers to decipher the vast universe of social media data intelligently. It is a timely and indispensable solution for those seeking to harness the power of data while ensuring its security and integrity.

Coverage:

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

  • Deep Learning Approaches
  • Emotion Recognition
  • High-Dimensional Text Clustering
  • LSTM Network
  • Machine Learning-Based Prediction
  • Memory Architecture
  • Multi-Level Classification
  • Natural Language Processing
  • Social Media
  • Social Spam Campaigns
  • User Involvement
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Editor/Author Biographies

Ahmed A. Abd El-Latif received the B.Sc. degree with honor rank in Mathematics and Computer Science in 2005 and M.Sc. degree in Computer Science in 2010, all from Menoufia University, Egypt. He received his Ph. D. degree in Computer Science & Technology at Harbin Institute of Technology (H.I.T), Harbin, P. R. China in 2013. He is an associate professor of Computer Science at Menoufia University, Egypt. He is author and co-author of more than 130 papers in reputable journal and conferences. He received many awards, State Encouragement Award in Engineering Sciences 2016, Arab Republic of Egypt; the best Ph.D student award from Harbin Institute of Technology, China 2013; Young scientific award, Menoufia University, Egypt 2014. He is a fellow at Academy of Scientific Research and Technology, Egypt. His areas of interests are multimedia content encryption, secure wireless communication, IoT, applied cryptanalysis, perceptual cryptography, secret media sharing, information hiding, biometrics, forensic analysis in digital images, and quantum information processing. Dr. Abd El-Latif is an associate editor of Journal of Cyber Security and Mobility, and Mathematical Problems in Engineering.

Yassine Maleh (Senior Member, IEEE) received the Ph.D. degree in computer science from Hassan 1st University in Morocco, in 2017. He is currently a Professor in cybersecurity and a Practitioner with industry and academic experience. Since 2019, he has been a Professor in cybersecurity with Sultan Moulay Slimane University, Beni Mellal, Morocco. From 2012 to 2019, he was the Chief Security Officer with the National Ports Agency in Morocco. He is the Founding Chair of IEEE Consultant Network Morocco and the Founding President of the African Research Center of Information Technology & Cybersecurity. He is a member of the International Association of Engineers and Machine Intelligence Research Labs. He has made contributions in the fields of information security and privacy, the Internet of Things security, and wireless and constrained networks security. His research interests include information security and privacy, the Internet of Things, networks security, information system, and IT governance. He has authored or coauthored more than 100 papers (book chapters, international journals, and conferences/workshops), 24 edited books, and 4 authored books. Dr. Maleh is currently the Editor-in-Chief of the International Journal of Information Security and Privacy and International Journal of Smart Security Technologies. He is also an Associate Editor for IEEE Access (2019 Impact Factor 4.098) and a Series Editor of Advances in Cybersecurity Management by CRC Taylor & Francis. He has served and continues to serve on executive and technical program committees and as a Reviewer of numerous international conferences and journals, such as Elsevier's Ad Hoc Networks, IEEE Network Magazine, IEEE Sensor Journal, ICT Express, and Springer's Cluster Computing. He was the Publicity Chair of BCCA 2019 and the General Chair of the MLBDACP 19 symposium and ICI2C'21 Conference. He was the recipient of Publons Top 1% reviewer award for 2018 and 2019.

Mohammed A. El-Affendi is currently a Professor of computer science with the Department of Computer Science, Prince Sultan University, the Former Dean of CCIS, AIDE, the Rector, the Founder, and the Director of the Data Science Laboratory (EIAS), and the Founder and the Director of the Center of Excellence in CyberSecurity. His current research interests include data science, intelligent and cognitive systems, machine learning, and natural language processing.

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