کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
378787 | 659217 | 2013 | 18 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Subject-based semantic document clustering for digital forensic investigations
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Computers are increasingly used as tools to commit crimes such as unauthorized access (hacking), drug trafficking, and child pornography. The proliferation of crimes involving computers has created a demand for special forensic tools that allow investigators to look for evidence on a suspect's computer by analyzing communications and data on the computer's storage devices. Motivated by the forensic process at Sûreté du Québec (SQ), the Québec provincial police, we propose a new subject-based semantic document clustering model that allows an investigator to cluster documents stored on a suspect's computer by grouping them into a set of overlapping clusters, each corresponding to a subject of interest initially defined by the investigator.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Data & Knowledge Engineering - Volume 86, July 2013, Pages 224–241
Journal: Data & Knowledge Engineering - Volume 86, July 2013, Pages 224–241
نویسندگان
Gaby G. Dagher, Benjamin C.M. Fung,