Novel Algorithm of Intrusion Detection Systems by Using the Images Metadata to Detect Electronic Crime in Cloud Computing
Ahmed K. Al-Ani, Zuhoor Abdullah Salim Al-Khanjari, Haydar Sabeeh Kalash, Y. Alshmmary · International Journal of Software Engineering and Its Applications · 2016
Many security professionals know about Image Metadata, but they do not really know how it can be used to protect from the threats and prove the authenticity of these images and the most significant aspect is the anonymity of perpetrator. The novelty of this paper lies on how to use a new algorithm of Image Metadata to detect internal intrusion and how to protect it in real time inside the cloud providers. In this paper, we propose a novel algorithm to use features and characteristics technologies of Image Metadata, namely, a novel family of Intrusion Detection Systems (IDS) built on Exchangeable Image File Format (EXIF) of Image Metadata. It can assist in eliminating the anonymity advantage of perpetrator which is considered extremely important for the Digital Investigation to detect the attacker in a real time and to prove the authenticity of the images Metadata against attackers.