Malware Detection Using N-GRAM Based File Signature Based Method

Abstract

We know that malware can affect on computer data, they disturb computer .there is large growth in virus of different like Trojan horses, worms, benign etc. however developer has need pay attention on that activity ,need to develop strong anti-analysis technique for that. Malware detection is critical technique in computer security. signature based method for malware detection is used, this is mostly used in commercial antivirus software but this method detect malware only when virus caused damage or already registered. otherwise it fail to detect malware. Applying a methodology proven successful in similar problem-domains, we propose the use of n-grams as file signatures in order to detect unknown malware whilst keeping low false positive ratio. We show that n-grams signatures provide an effective way to detect unknown malware.