Implementation of Spyware Detection Using Data Mining With Decision Tree Algorithm
Leena T. Patil, Shamal S. Pawar, Shrutika N. Lad, Nilambari Joshi · International Journal of Engineering Research and Applications · 2014
Any software that monitors user behavior, or gathers information about the user without adequate notice, consent, or control from the user. Spyware represents a serious threat to confidentiality since it may result in loss of control over private data for computer users. This type of software might collect the data and send it to a third party without informed user consent. Our approach is inspired by DM-based malicious code detectors, which are known to work well for detecting viruses and similar software We extract binary features, called n- grams, from both spyware and software and apply to train classifiers that are able to classify unknown binaries by analyzing extracted n-grams. Keywords: N-Gram, ARFF (Attribute Relation File Format) CFBE (Common Feature-based Extraction), FBFE (Frequency-based Feature Extraction), RFS (Reduced Feature Sets).