Deteksi Keaslian Video Pada Handycam Dengan Metode Localization Tampering
DOI:
https://doi.org/10.15575/join.v2i1.85Keywords:
Handycam, Histogram, Frame, Tampering, VideoAbstract
Video merupakan barang bukti digital yang salah satunya berasal dari handycam, dalam hal kejahatan video biasanya dimanipulasi untuk menghilangkan bukti-bukti yang ada di dalamnya, oleh sebab itu diperlukan analisis forensik untuk dapat mendeteksi keaslian video tersebut. Dalam penelitian ini di lakukan manipulasi video dengan attack cropping, zooming, rotation, dan grayscale, hal ini bertujuan untuk membandingkan antara rekaman video asli dan rekaman video tampering, dari rekaman video tersebut dianalisis dengan menggunakann metode localization tampering, yaitu metode deteksi yang menunjukkan bagian pada video yang telah dimanipulasi, dengan menganalisis frame, perhitungan histogram, dan grafik histogram. Dengan localization tampering tersebut maka dapat diketahui letak frame dan durasi pada video yang telah mengalami tampering.
References
Muhammad nuh Al-azhar, digital forensic: Panduan Praktis Investigasi Komputer. Jakarta, 2012.
M. K. Thakur dan V. Saxena, “Data-parallel full reference algorithm for dropped frame identification in uncompressed video using genetic algorithm,” hal. 467–471, 2013.
R. C. Pandey, S. K. Singh, dan K. K. Shukla, “Passive Copy- Move Forgery Detection in Videos,” hal. 301–306, 2014.
P. Bestagini, S. Milani, M. Tagliasacchi, dan S. Tubaro, “Local tampering detection in video sequences,” 2013 IEEE Int. Work. Multimed. Signal Process. MMSP 2013, hal. 488–493, 2013.
A. Gupta, S. Gupta, dan A. Mehra, “Video authentication in digital forensic,” 2015 1st Int. Conf. Futur. Trends Comput. Anal. Knowl. Manag. ABLAZE 2015, no. Ablaze, hal. 659–663, 2015.
P. Bestagini, K. M. Fontani, S. Milani, M. Barni, A. Piva, M. Tagliasacchi, dan K. S. Tubaro, “An overview on video forensics,” Eur. Signal Process. Conf., hal. 1229–1233, 2012.
R. Rigoni, P. G. Freitas, dan M. C. Q. Farias, “Tampering detection of audio-visual content using encrypted watermarks,” in Brazilian Symposium of Computer Graphic and Image Processing, 2014.
Y. Su, W. Nie, dan C. Zhang, “A frame tampering detection algorithm for MPEG videos,” in Proceedings - 2011 6th IEEE Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2011, 2011.
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