Data Behavioral Pattern Analysis and Noise Classification in Mobile Forensic
Keywords:
Data analysis of forensic evidence, criminal profiling, analysis of behavioral evidenceAbstract
Using data gathered from mobile devices and suspicious pattern detection algorithms, Mobile Forensic Data Analysis seeks to identify criminals. When criminal activity is associated with robotic processes like malware distribution, it is easy to foresee. When human behavior is involved, as in traditional crimes, prediction and detection become more alluring. Cyberbullying and small-scale drug sales, both of which rely heavily on mobile devices, are the focus of the current study, which proposes a combined criminal profiling and suspicious pattern identification methodology. Our evidence-based method improves accuracy and decreases false positives on a dataset by linking several observed patterns. After evaluating and displaying the results of tests conducted on a dataset that includes both benign and malicious traffic, the scenarios are re-run on a real dataset for further testing and verification.
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