• Deepa kolar
• Praveen Challagidad

Malware variants identification and classification is the one of the most important research problem in digital forensics. Statistic and dynamic analysis is used for detection and classification of malware. Smart phones are being utilized by a vast majority of users for every day planning, data exchanges, correspondences, social interaction, business execution, bank transactions, and almost in each walk of everyday lives. With the expansion of human reliance on smart phone technology, cyber attacks against these devices have surged exponentially. This paper presents a review papers on identification and classification of malware attacks and summary of the research work which have been carried out by many researchers in this field. The through literature review of 10 papers is presented here.

Malware family, Malware category, Deep AMD, Machine learning, Cyber attack Security

"A Review On Identification And Classification Of Malware Attacks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.e714-e720, July-2021, Available :http://www.jetir.org/papers/JETIR2107596.pdf

"A Review On Identification And Classification Of Malware Attacks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppe714-e720, July-2021, Available at : http://www.jetir.org/papers/JETIR2107596.pdf