Multiclassification of Malware using DLL

The current era of computation is facing huge amount of cyber-attack. The threat in the last few years has seen huge trend in malware based attack. Therefore, it is very important to address this malicious crafted program. This work tries its best to first introduce the malware and its features. The work also traverses various work that has been done to detect malware using various executable files. Since, the DLL is one of the widely adopted means by malware developer to perform cyber-attack, the work here addresses a detection of malware in automation. The use of CNN and LSTM has been used for multi-classification to achieve satisfactory accuracy of 88.54 at a dropout value of 0.4.