Handbook of Research on Advanced Practical Approaches to Deepfake Detection and Applications

Handbook of Research on Advanced Practical Approaches to Deepfake Detection and Applications

Ahmed J. Obaid (University of Kufa, Iraq), Ghassan H. Abdul-Majeed (University of Baghdad, Iraq), Adriana Burlea-Schiopoiu (University of Craiova, Romania) and Parul Aggarwal (Jamia Hamdard University, India)
Projected Release Date: December, 2022|Copyright: © 2023 |Pages: 400
DOI: 10.4018/978-1-6684-6060-3
ISBN13: 9781668460603|ISBN10: 1668460602|EISBN13: 9781668460627
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Description & Coverage
Description:

In recent years, falsification and digital modification of video clips, images, as well as textual contents have become widespread and numerous, especially when deepfake technologies are adopted in many sources. Due to adopted deepfake techniques, a lot of content currently cannot be recognized from its original sources. As a result, the field of study previously devoted to general multimedia forensics has been revived.

The Handbook of Research on Advanced Practical Approaches to Deepfake Detection and Applications discusses the recent techniques and applications of illustration, generation, and detection of deepfake content in multimedia. It introduces the techniques and gives an overview of deepfake applications, types of deepfakes, the algorithms and applications used in deepfakes, recent challenges and problems, and practical applications to identify, generate, and detect deepfakes. Covering topics such as anomaly detection, intrusion detection, and security enhancement, this major reference work is a comprehensive resource for cyber security specialists, government officials, law enforcement, business leaders, students and faculty of higher education, librarians, researchers, and academicians.

Coverage:

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

  • Anomaly Detection
  • Audio Manipulation
  • Deep Neural Network
  • Deepfakes
  • Demographic Determinants
  • Features Manipulation
  • Hybrid Cloud Computing
  • Intrusion Detection
  • Multi-Temporal Information
  • Secure Cloud Storage
  • Security Enhancement
  • Stock Price Prediction
  • Transfer Learning Techniques and Applications
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