• Ankur Singh Bist
• Abhijeet Singh Sran

We present a very simple and an effective survey for understanding and classifying malware using various image processing techniques. Malware files are treated as grayscale images, and the images belonging to the same family appear very similar in many aspects such as texture, layout and design. By considering this visual similarity a classification method is put forward. Previous experiments show results that are very accurate with more than 90% classification accuracy on a malware database containing various samples with more than 25 different families.

Malware visualisation, Image Texture, Image processing.

"An Exhaustive Survey on Malware Classification", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 10, page no.611-617, October-2018, Available :http://www.jetir.org/papers/JETIR1810876.pdf

"An Exhaustive Survey on Malware Classification", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 10, page no. pp611-617, October-2018, Available at : http://www.jetir.org/papers/JETIR1810876.pdf