A case study for automatic detection of steganographic images in network traffic
Küçük Resim Yok
Tarih
2017
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Detection and prevention of data breaches in corporate networks is one of the most important security problems of today's world. The techniques and applications proposed for solution are not successful when attackers attempt to steal data using steganography. Steganography is the art of storing data in a file called cover, such as picture, sound and video. The concealed data cannot be directly recognized in the cover. Steganalysis is the process of revealing the presence of embedded messages in these files. There are many statistical and signature based steganalysis algorithms. In this work, the detection of steganographic images with steganalysis techniques is reviewed and a system has been developed which automatically detects steganographic images in network traffic by using open source tools. © 2017 EMO (Turkish Chamber of Electrical Enginners).
Açıklama
10th International Conference on Electrical and Electronics Engineering, ELECO 2017 -- 29 November 2017 through 2 December 2017 -- -- 134351
Anahtar Kelimeler
Kaynak
2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
Cilt
2018-January
