Malware Detection, Supportive Software Agents and Its Classification Schemes

Malware Detection using Classification of Variable-Length Sequences

In this paper, a novel method based on the graph is proposed to classify the sequence of variable length as feature extraction. The proposed method overcomes the problems of the traditional graph with variable length of data, without fixing length of sequences, by determining the most frequent instructions and insertion the rest of instructions on the set of “other”, save speed and memory. Acco...

Classification Algorithms for Malware Detection

Scalable Telemetry Classification for Automated Malware Detection

Industry reports and blogs have estimated the amount of malware based on known malicious files. This paper extends this analysis to the amount of unknown malware. The study is based on 26.7 million files referenced in telemetry reports from 50 million computers running commercial anti-malware (AM) products. To estimate the undetected malware, a classifier predicts the underlying nature of unkno...

0 - Day Detection in Malware Software Dataset

Dynamic detection and immunisation of malware using mobile agents

At present, malicious software (mal-ware) is causing many problems on private networks and the Internet. One major cause of this includes outdated or absent security software to countermeasure these anomalies such as Antivirus software and Personal Firewalls. Another cause is that mal-ware can exploit weaknesses in software, notably operating systems. This can be reduced by use of a patch servi...