Security of Digital Multimedia Data and Forgery Detection

Abstract

Research on verifying the integrity of digital multimedia data has increasing in recent years. Therefore, it has been observed that the number of studies on digital multimedia security has increasing day by day. This shows studies on digital multimedia security are still an active research area. People who have not received professional training in the fields of audio, image and video can easily modify audio, image and video data through tools such as mobile phones, smart devices, various web applications, etc. These modifications disrupt the accuracy, integrity and authenticity of the data. These integrity and authenticity corrupted data can be used for various purposes such as misleading the judicial authorities, disrupting public order, using as fake evidence in court, and deceiving automatic speaker verification systems, etc. For this reason, it is very important forgeries detection systems on digital multimedia data today. Studies have gathered forgery detection methods on digital multimedia data under two categories as active and passive techniques. In the literature, studies on passive techniques, which focus on active techniques for forgery detection on digital data, especially on audio signals, are relatively less than active techniques. In this research article, it is aimed to categorize the recent studies on copy-move and splicing forgery detection from passive techniques.

Keywords

• Digital multimedia security
• Digital multimedia forensic
• Audio forgery detection
• Image forgery detection
• Video forgery detection

Project Number

121E725

Dijital Multimedya Verilerinin Güvenliği ve Sahtecilik Tespiti

Abstract

Dijital multimedya verilerinin bütünlüğünün doğrulanması konusundaki araştırmalar son yıllarda hız kazanmıştır. Buna bağlı olarak da dijital multimedya güvenliği üzerine yapılan çalışmaların sayısının gün geçtikçe arttığı gözlemlenmiştir. Bu da dijital multimedya güvenliği konusundaki çalışmaların hala güncel ve aktif bir araştırma alanı olduğunu göstermektedir. Ses, görüntü ve video alanlarında profesyonel bir eğitim almamış kişiler cep telefonları, akıllı cihazlar, çeşitli web uygulamaları vb. gibi araçlar üzerinden ses, görüntü ve video verileri üzerinde kolayca değişiklik yapabilmektedir. Yapılan bu değişiklikler ise verilerin doğruluğunu, bütünlüğünü ve gerçekliğini bozmaktadır. Bütünlüğü ve gerçekliği bozulmuş bu veriler adli makamları yanıltma, kamu düzenini bozma, mahkemede sahte delil olarak kullanma ve otomatik konuşmacı doğrulama sistemlerini yanıltma vb. gibi çeşitli amaçlar için kullanılabilmektedir. Bu sebepten günümüzde dijital multimedya verileri üzerinde yapılan sahteciliklerin tespit edilmesi oldukça önemli bir konudur. Yapılan çalışmalar, dijital multimedya verileri üzerindeki sahtecilik tespit yöntemlerini aktif ve pasif teknikler olmak üzere iki kategori altında toplamıştır. Literatürde özellikle ses sinyalleri başta olmak üzere dijital veriler üzerinde yapılan sahteciliklerin tespiti için aktif teknikler üzerine yoğunlaşıldığı pasif teknikler üzerine yapılan çalışmaların aktif tekniklere göre nispeten daha az olduğu tespit edilmiştir. Bu araştırma makalesinde pasif tekniklerden kopyala-yapıştır ve birleştirme sahtecilik tespitleri ile ilgili son yıllarda yapılmış olan çalışmaların kategorize edilmesi amaçlanmıştır.

Keywords

• Dijital Multimedia Adli Bilişim
• Digital Multimedia Güvenliği
• Ses Sahteciliği Tespiti
• Görüntü Sahteciliği Tespiti
• Video Sahteciliği Tespiti.

Supporting Institution

TÜBİTAK

Project Number

121E725

Thanks

Bu çalışma 1002 programı kapsamında 121E725 nolu proje ile TÜBİTAK tarafından desteklenmiştir.

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