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Author : Ehsan Nowroozi
Publisher : Springer Nature
ISBN 13 : 3031498038
Total Pages : 298 pages
Book Rating : 4.39/5 ( download)
Download or read book Adversarial Multimedia Forensics written by Ehsan Nowroozi and published by Springer Nature. This book was released on with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Husrev Taha Sencar
Publisher : Springer Nature
ISBN 13 : 9811676216
Total Pages : 494 pages
Book Rating : 4.15/5 ( download)
Download or read book Multimedia Forensics written by Husrev Taha Sencar and published by Springer Nature. This book was released on 2022-04-02 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is open access. Media forensics has never been more relevant to societal life. Not only media content represents an ever-increasing share of the data traveling on the net and the preferred communications means for most users, it has also become integral part of most innovative applications in the digital information ecosystem that serves various sectors of society, from the entertainment, to journalism, to politics. Undoubtedly, the advances in deep learning and computational imaging contributed significantly to this outcome. The underlying technologies that drive this trend, however, also pose a profound challenge in establishing trust in what we see, hear, and read, and make media content the preferred target of malicious attacks. In this new threat landscape powered by innovative imaging technologies and sophisticated tools, based on autoencoders and generative adversarial networks, this book fills an important gap. It presents a comprehensive review of state-of-the-art forensics capabilities that relate to media attribution, integrity and authenticity verification, and counter forensics. Its content is developed to provide practitioners, researchers, photo and video enthusiasts, and students a holistic view of the field.
Author : Benedetta Tondi
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.15/5 ( download)
Download or read book Theoretical Foundations of Adversarial Detection and Application to Multimedia Forensics written by Benedetta Tondi and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Aboul Ella Hassanien
Publisher : Springer
ISBN 13 : 3319442708
Total Pages : 414 pages
Book Rating : 4.09/5 ( download)
Download or read book Multimedia Forensics and Security written by Aboul Ella Hassanien and published by Springer. This book was released on 2016-10-17 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent applications and approaches as well as challenges in digital forensic science. One of the evolving challenges that is covered in the book is the cloud forensic analysis which applies the digital forensic science over the cloud computing paradigm for conducting either live or static investigations within the cloud environment. The book also covers the theme of multimedia forensics and watermarking in the area of information security. That includes highlights on intelligence techniques designed for detecting significant changes in image and video sequences. Moreover, the theme proposes recent robust and computationally efficient digital watermarking techniques. The last part of the book provides several digital forensics related applications, including areas such as evidence acquisition enhancement, evidence evaluation, cryptography, and finally, live investigation through the importance of reconstructing the botnet attack scenario to show the malicious activities and files as evidences to be presented in a court.
Author : Li, Chang-Tsun
Publisher : IGI Global
ISBN 13 : 1599048701
Total Pages : 416 pages
Book Rating : 4.03/5 ( download)
Download or read book Multimedia Forensics and Security written by Li, Chang-Tsun and published by IGI Global. This book was released on 2008-07-31 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: As information technology is rapidly progressing, an enormous amount of media can be easily exchanged through Internet and other communication networks. Increasing amounts of digital image, video, and music have created numerous information security issues and is now taken as one of the top research and development agendas for researchers, organizations, and governments worldwide. Multimedia Forensics and Security provides an in-depth treatment of advancements in the emerging field of multimedia forensics and security by tackling challenging issues such as digital watermarking for copyright protection, digital fingerprinting for transaction tracking, and digital camera source identification.
Author : Anthony T. S. Ho
Publisher : John Wiley & Sons
ISBN 13 : 1118640500
Total Pages : 698 pages
Book Rating : 4.00/5 ( download)
Download or read book Handbook of Digital Forensics of Multimedia Data and Devices written by Anthony T. S. Ho and published by John Wiley & Sons. This book was released on 2015-09-28 with total page 698 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital forensics and multimedia forensics are rapidly growing disciplines whereby electronic information is extracted and interpreted for use in a court of law. These two fields are finding increasing importance in law enforcement and the investigation of cybercrime as the ubiquity of personal computing and the internet becomes ever-more apparent. Digital forensics involves investigating computer systems and digital artefacts in general, while multimedia forensics is a sub-topic of digital forensics focusing on evidence extracted from both normal computer systems and special multimedia devices, such as digital cameras. This book focuses on the interface between digital forensics and multimedia forensics, bringing two closely related fields of forensic expertise together to identify and understand the current state-of-the-art in digital forensic investigation. Both fields are expertly attended to by contributions from researchers and forensic practitioners specializing in diverse topics such as forensic authentication, forensic triage, forensic photogrammetry, biometric forensics, multimedia device identification, and image forgery detection among many others. Key features: Brings digital and multimedia forensics together with contributions from academia, law enforcement, and the digital forensics industry for extensive coverage of all the major aspects of digital forensics of multimedia data and devices Provides comprehensive and authoritative coverage of digital forensics of multimedia data and devices Offers not only explanations of techniques but also real-world and simulated case studies to illustrate how digital and multimedia forensics techniques work Includes a companion website hosting continually updated supplementary materials ranging from extended and updated coverage of standards to best practice guides, test datasets and more case studies
Author : Raj, Alex Noel Joseph
Publisher : IGI Global
ISBN 13 : 1668445603
Total Pages : 293 pages
Book Rating : 4.00/5 ( download)
Download or read book Aiding Forensic Investigation Through Deep Learning and Machine Learning Frameworks written by Raj, Alex Noel Joseph and published by IGI Global. This book was released on 2022-06-24 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is crucial that forensic science meets challenges such as identifying hidden patterns in data, validating results for accuracy, and understanding varying criminal activities in order to be authoritative so as to hold up justice and public safety. Artificial intelligence, with its potential subsets of machine learning and deep learning, has the potential to transform the domain of forensic science by handling diverse data, recognizing patterns, and analyzing, interpreting, and presenting results. Machine Learning and deep learning frameworks, with developed mathematical and computational tools, facilitate the investigators to provide reliable results. Further study on the potential uses of these technologies is required to better understand their benefits. Aiding Forensic Investigation Through Deep Learning and Machine Learning Frameworks provides an outline of deep learning and machine learning frameworks and methods for use in forensic science to produce accurate and reliable results to aid investigation processes. The book also considers the challenges, developments, advancements, and emerging approaches of deep learning and machine learning. Covering key topics such as biometrics, augmented reality, and fraud investigation, this reference work is crucial for forensic scientists, law enforcement, computer scientists, researchers, scholars, academicians, practitioners, instructors, and students.
Author : Jean-Jacques Rousseau
Publisher : Springer Nature
ISBN 13 : 3031377451
Total Pages : 200 pages
Book Rating : 4.57/5 ( download)
Download or read book Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges written by Jean-Jacques Rousseau and published by Springer Nature. This book was released on 2023-07-28 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 4-volumes set constitutes the proceedings of the ICPR 2022 Workshops of the 26th International Conference on Pattern Recognition Workshops, ICPR 2022, Montreal, QC, Canada, August 2023. The 167 full papers presented in these 4 volumes were carefully reviewed and selected from numerous submissions. ICPR workshops covered domains related to pattern recognition, artificial intelligence, computer vision, image and sound analysis. Workshops’ contributions reflected the most recent applications related to healthcare, biometrics, ethics, multimodality, cultural heritage, imagery, affective computing, etc.
Author : Aneesh Sreevallabh Chivukula
Publisher : Springer Nature
ISBN 13 : 3030997723
Total Pages : 316 pages
Book Rating : 4.24/5 ( download)
Download or read book Adversarial Machine Learning written by Aneesh Sreevallabh Chivukula and published by Springer Nature. This book was released on 2023-03-06 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: A critical challenge in deep learning is the vulnerability of deep learning networks to security attacks from intelligent cyber adversaries. Even innocuous perturbations to the training data can be used to manipulate the behaviour of deep networks in unintended ways. In this book, we review the latest developments in adversarial attack technologies in computer vision; natural language processing; and cybersecurity with regard to multidimensional, textual and image data, sequence data, and temporal data. In turn, we assess the robustness properties of deep learning networks to produce a taxonomy of adversarial examples that characterises the security of learning systems using game theoretical adversarial deep learning algorithms. The state-of-the-art in adversarial perturbation-based privacy protection mechanisms is also reviewed. We propose new adversary types for game theoretical objectives in non-stationary computational learning environments. Proper quantification of the hypothesis set in the decision problems of our research leads to various functional problems, oracular problems, sampling tasks, and optimization problems. We also address the defence mechanisms currently available for deep learning models deployed in real-world environments. The learning theories used in these defence mechanisms concern data representations, feature manipulations, misclassifications costs, sensitivity landscapes, distributional robustness, and complexity classes of the adversarial deep learning algorithms and their applications. In closing, we propose future research directions in adversarial deep learning applications for resilient learning system design and review formalized learning assumptions concerning the attack surfaces and robustness characteristics of artificial intelligence applications so as to deconstruct the contemporary adversarial deep learning designs. Given its scope, the book will be of interest to Adversarial Machine Learning practitioners and Adversarial Artificial Intelligence researchers whose work involves the design and application of Adversarial Deep Learning.
Author : Mauro Barni
Publisher :
ISBN 13 : 9781680837643
Total Pages : 190 pages
Book Rating : 4.48/5 ( download)
Download or read book Theoretical Foundations of Adversarial Binary Detection written by Mauro Barni and published by . This book was released on 2020-12-20 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt:
