Botnet forensic analysis helps in understanding the nature of attacks and the modus operandi used by the attackers. Botnet attacks\nare difficult to trace because of their rapid pace, epidemic nature, and smaller size. Machine learning works as a panacea for botnet\nattack related issues. It not only facilitates detection but also helps in prevention from bot attack. The proposed inquisition model\nendeavors improved quality of results by comprehensive botnet detection and forensic analysis. This scenario has been applied in\neight different combinations of ensemble classifier technique to detect botnet evidence. The study is also compared to the\nensemble-based classifiers with the single classifier using different parameters. The results exhibit that the proposed model can\nimprove accuracy over a single classifier.
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