Passive video forgery detection techniques: a survey

Ainuddin  Wahid Abdul Wahab; Mustapha  Aminu Bagiwa; Mohd. Yamani  Idna Idris; Suleman Khan; Zaidi  Razak; Muhammad Rezal  Kamel Ariffin

doi:10.1109/isias.2014.7064616

Passive video forgery detection techniques: a survey

Ainuddin Wahid Abdul Wahab, Mustapha Aminu Bagiwa, Mohd. Yamani Idna Idris, Suleman Khan, Zaidi Razak, Muhammad Rezal Kamel Ariffin

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

39 Citations (Scopus)

Abstract

Technological advancement of various video and image processing tools has made tempering of digital video easy and faster. This review paper focuses on passive techniques that are employed for detecting forgeries in a digital video. Passive forgery detection techniques are methods used for detecting the authenticity of a video without depending on pre-embedded information. The techniques exploit the use of statistical or mathematical properties that are distorted as a result of video tempering for forgery detection. Passive video forgery detection approach has a great prospect in multimedia security, information security and pattern recognition. In this paper, we divide passive techniques for video forensics into three categories; Statistical correlation of video features, frame-based for detecting statistical anomalies, and the inconsistency features of different digital equipment. The discussion also covers the trends, limitations and idea for improvements of passive forgery detection techniques.

Original language	English
Title of host publication	10th International Conference on Information Assurance and Security
Publisher	IEEE
Pages	29-34
Number of pages	6
DOIs	https://doi.org/10.1109/isias.2014.7064616
Publication status	Published - 28 Nov 2014
Externally published	Yes
Event	2014 10th International Conference on Information Assurance and Security, IAS 2014 - Okinawa, Japan Duration: 28 Nov 2014 → 30 Nov 2014 https://ieeexplore.ieee.org/xpl/conhome/7058893/proceeding

Workshop

Workshop	2014 10th International Conference on Information Assurance and Security, IAS 2014
Country/Territory	Japan
City	Okinawa
Period	28/11/14 → 30/11/14
Internet address	https://ieeexplore.ieee.org/xpl/conhome/7058893/proceeding

Access to Document

10.1109/isias.2014.7064616

Cite this

@inproceedings{c5a4b19e4eb84b94b1b6ba9a47e77142,

title = "Passive video forgery detection techniques: a survey",

abstract = "Technological advancement of various video and image processing tools has made tempering of digital video easy and faster. This review paper focuses on passive techniques that are employed for detecting forgeries in a digital video. Passive forgery detection techniques are methods used for detecting the authenticity of a video without depending on pre-embedded information. The techniques exploit the use of statistical or mathematical properties that are distorted as a result of video tempering for forgery detection. Passive video forgery detection approach has a great prospect in multimedia security, information security and pattern recognition. In this paper, we divide passive techniques for video forensics into three categories; Statistical correlation of video features, frame-based for detecting statistical anomalies, and the inconsistency features of different digital equipment. The discussion also covers the trends, limitations and idea for improvements of passive forgery detection techniques.",

author = "{Wahid Abdul Wahab}, Ainuddin and {Aminu Bagiwa}, Mustapha and {Idna Idris}, {Mohd. Yamani} and Suleman Khan and Zaidi Razak and {Kamel Ariffin}, {Muhammad Rezal}",

year = "2014",

month = nov,

day = "28",

doi = "10.1109/isias.2014.7064616",

language = "English",

pages = "29--34",

booktitle = "10th International Conference on Information Assurance and Security",

publisher = "IEEE",

address = "United States",

note = "2014 10th International Conference on Information Assurance and Security, IAS 2014 ; Conference date: 28-11-2014 Through 30-11-2014",

url = "https://ieeexplore.ieee.org/xpl/conhome/7058893/proceeding",

}

Wahid Abdul Wahab, A, Aminu Bagiwa, M, Idna Idris, MY, Khan, S, Razak, Z & Kamel Ariffin, MR 2014, Passive video forgery detection techniques: a survey. in 10th International Conference on Information Assurance and Security. IEEE, pp. 29-34, 2014 10th International Conference on Information Assurance and Security, IAS 2014, Okinawa, Japan, 28/11/14. https://doi.org/10.1109/isias.2014.7064616

TY - GEN

T1 - Passive video forgery detection techniques: a survey

AU - Wahid Abdul Wahab, Ainuddin

AU - Aminu Bagiwa, Mustapha

AU - Idna Idris, Mohd. Yamani

AU - Khan, Suleman

AU - Razak, Zaidi

AU - Kamel Ariffin, Muhammad Rezal

PY - 2014/11/28

Y1 - 2014/11/28

N2 - Technological advancement of various video and image processing tools has made tempering of digital video easy and faster. This review paper focuses on passive techniques that are employed for detecting forgeries in a digital video. Passive forgery detection techniques are methods used for detecting the authenticity of a video without depending on pre-embedded information. The techniques exploit the use of statistical or mathematical properties that are distorted as a result of video tempering for forgery detection. Passive video forgery detection approach has a great prospect in multimedia security, information security and pattern recognition. In this paper, we divide passive techniques for video forensics into three categories; Statistical correlation of video features, frame-based for detecting statistical anomalies, and the inconsistency features of different digital equipment. The discussion also covers the trends, limitations and idea for improvements of passive forgery detection techniques.

AB - Technological advancement of various video and image processing tools has made tempering of digital video easy and faster. This review paper focuses on passive techniques that are employed for detecting forgeries in a digital video. Passive forgery detection techniques are methods used for detecting the authenticity of a video without depending on pre-embedded information. The techniques exploit the use of statistical or mathematical properties that are distorted as a result of video tempering for forgery detection. Passive video forgery detection approach has a great prospect in multimedia security, information security and pattern recognition. In this paper, we divide passive techniques for video forensics into three categories; Statistical correlation of video features, frame-based for detecting statistical anomalies, and the inconsistency features of different digital equipment. The discussion also covers the trends, limitations and idea for improvements of passive forgery detection techniques.

U2 - 10.1109/isias.2014.7064616

DO - 10.1109/isias.2014.7064616

M3 - Conference contribution

SP - 29

EP - 34

BT - 10th International Conference on Information Assurance and Security

PB - IEEE

T2 - 2014 10th International Conference on Information Assurance and Security, IAS 2014

Y2 - 28 November 2014 through 30 November 2014

ER -

Passive video forgery detection techniques: a survey

Abstract

Workshop

Access to Document

Fingerprint

Cite this