Cryptojacking Detection Using Genetic Search Algorithm

Mining cryptocurrency with an unauthorized and unlawful access to a victim’s computer’s processing power is called cryptojacking. With the rise of cryp- tocurrency in markets people took advantage this new piece technol- ogy through mining it earning from it. When need for more perfor- mance money emerged came out activities mine using other’s devices without their consent. These have led vulnerable sake greed. This dis- tributive approach which uses machine all its resources i.e., CPU, GPU etc. doesn’t any software installa- tion but just visit sites are embedded malicious scripts that helps accessing user’s device. The analogy study not limited detect presence cryptojacking also enable users kind suspicious activity performed on Through Genetic Search algorithm we extracted some key metrics used by computers monitor further these classify achieved 100% accuracy classifying instances. classification was done several algorithms such as SVM (kernel – “linear”), “Radial Bias Function”), Logistic Regression, Decision Tree Classifier, Random Forest Multi-Layer Perceptron. mentioned earlier learning iterative technique based natural selection selects individuals current population parents them generate next generation offspring method CfsSubsetEval returns fitness score child dependency other attributes. For comparison methods serves same objective