منصة متكاملة لنحليل الجنائي الرقمي للهواتف المحمولة المدمجة بالذكاء الإصطناعي -DZ Forensi Guard-

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University of M'sila

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Mobile device forensics is a foundational pillar of modern cybersecurity, given the critical role these devices play as digital repositories for forensic evidence. This study aims to develop a specialized forensic analysis platform (DZ ForensiGuard), engineered to meet the technical and linguistic requirements of digital investigations. The research adopts a standardized method ology ranging from requirement analysis and UML modeling to software implementation via the FastAPI framework and advanced data analysis techniques. Four core algorithms were integrated, encompassing timeline analysis, geolocation tracking, social network mapping, and entropy analysis for encryption detection. Field test results on various devices demonstrated the platform’s efficiency in extracting evidence with high accuracy and reliability within competi tive processing times. These findings validate the feasibility of building integrated local software tools capable of rivaling global solutions while ensuring data security and privacy.

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