Muutke küpsiste eelistusi
  • Formaat - EPUB+DRM
  • Hind: 4,08 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

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.
Part I Present and Challenges
1 What's in This Book and Why?
3(4)
Husrev Taha Senear
Luisa Verdoliva
Nasir Memon
2 Media Forensics in the Age of Disinformation
7(34)
Justin Hendrix
Dan Morozoff
3 Computational Imaging
41(24)
Scott MeCloskey
Part II Attribution
4 Sensor Fingerprints: Camera Identification and Beyond
65(24)
Matthias Kirchner
5 Source Camera Attribution from Videos
89(28)
Husrev Taha Senear
6 Camera Identification at Large Scale
117(16)
Samet Taspinar
Nasir Memon
7 Source Camera Model Identification
133(42)
Sara Mandelli
Nicolo Bonettini
Paolo Bestagini
8 GAN Fingerprints in Face Image Synthesis
175(32)
Joao C. Neves
Ruben Tolosana
Ruben Vera-Rodriguez
Vasco Lopes
Hugo Proenca
Julian Fierrez
Part III Integrity and Authenticity
9 Physical Integrity
207(28)
Christian Riess
10 Power Signature for Multimedia Forensics
235(46)
Adi Hajj-Ahmad
Chau-Wai Wong
Jisoo Choi
Min Wu
11 Data-Driven Digital Integrity Verification
281(32)
Davide Cozzolino
Giovanni Poggi
Luisa Verdoliva
12 DeepFake Detection
313(20)
Siwei Lyu
13 Video Frame Deletion and Duplication
333(30)
Chengjiang Long
Arslan Basharat
Anthony Hoogs
14 Integrity Verification Through File Container Analysis
363(26)
Alessandro Piva
Massimo Iuliani
15 Image Provenance Analysis
389(46)
Daniel Moreira
William Theisen
Walter Scheirer
Aparna Bharati
Joel Brogan
Anderson Rocha
Part IV Counter-Forensics
16 Adversarial Examples in Image Forensics
435(32)
Mauro Barni
Wenjie Li
Benedetta Tondi
Bowen Zhang
17 Anti-Forensic Attacks Using Generative Adversarial Networks --
467
Matthew C. Stamm
Xinwei Zhao
Husrev Taha Sencar is a principal scientist with the cyber-security group of the Qatar Computing Research Institute, HBKU, and an associate professor at Computer Eng. Department of TOBB University, Ankara, Turkey. Between 2012 and 2015, he served as the director of the New York University Abu Dhabis Center for Cyber-Security in UAE.  He published more than 90 articles on topics related to digital forensics, information hiding, and biometrics. He was the technical program chair for the 2016 IEEE Workshop on Information Forensics and Security. He served in the PC of several conferences with a focus on digital forensics, such as WIFS, IS&T MWSF, ICME, EUSIPCO. He also served on the editorial board of IEEE Transactions on Information Forensics and Security and continues to serve on the board of IEEE Transactions on Image Processing. His research has primarily focused on building and implementing advanced forensic capabilities that relate to extraction, search and organization, attribution, and authentication of digital evidence.

Dr. Luisa Verdoliva is an associate professor at University Federico II of Naples, Italy, where she leads the Multimedia Forensics Lab. Her scientific interests are in the field of image and video processing, with main contributions in the area of multimedia forensics. She has published over 120 academic publications, including 45 journal papers. She has actively contributed to the academic community through service as general co-chair of the 2019 ACM Workshop on Information Hiding and Multimedia Security, technical chair of the 2019 IEEE Workshop in Information Forensics and Security, and area chair of the IEEE International Conference on Image Processing since 2017. She is on the editorial board of IEEE Transactions on Information Forensics and Security and IEEE Signal Processing Letters. Dr. Verdoliva is a chair of the IEEE Information Forensics and Security Technical Committee. She is the recipient of the 2018 Google Faculty Award for Machine Perception and a TUM-IAS Hans Fischer Senior Fellowship (2020-2023). She has been elected to the grade of IEEE Fellow, effective January 1, 2021.

Nasir Memon is a vice-dean for Academics and Student Affairs and a professor of Computer Science and Engineering at the New York University Tandon School of Engineering. He is an affiliate faculty at the Computer Science department in NYU's Courant Institute of Mathematical Sciences and department head of NYU Tandon Online. He introduced cyber-security studies to NYU Tandon in 1999, making it one of the first schools to implement the program at the undergraduate level. He is a co-founder of NYU's Center for Cyber-Security (CCS) at New York as well as NYU Abu Dhabi. He is the founder of the OSIRIS Lab, CSAW, the Bridge to Tandon Program as well as the Cyber-Fellows program at NYU. He has received several best paper awards and awards for excellence in teaching. He has been on the editorial boards of several journals, and wasthe editor-in-chief of the IEEE Transactions on Information Security and Forensics. He is an IEEE Fellow and an SPIE Fellow for his contributions to image compression and media security and forensics. His research interests include digital forensics, biometrics, data compression, network security and security and human behavior.