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 received a PhD in computer science from the University Hassan 1st, Morocco, in 2013. Since December 2012, he has been working as an IT senior analyst at the National Port Agency in Morocco. He is an Associate Professor with the Mohammed VI International Academy of Civil Aviation in Casablanca, Morocco. Dr. Maleh has made contributions in the fields of information security and privacy, 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 systems, and IT governance. He has published more than 60 papers (book chapters, international journals, and conferences), 3 edited books and 1 authored book. He serve as an associate editor for IEEE Access, the International Journal of Digital Crime and Forensics (IJDCF) and the International Journal of Information Security and Privacy (IJISP). Dr. Maleh served and continues to serve on executive and technical program committees and as a reviewer of numerous international conference and journals such as Elsevier Ad Hoc Networks, IEEE Network Magazine, IEEE Sensor Journal, ICT Express, Springer Cluster Computing. He was the General Chair of the MLBDACP 19 symposium.

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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