کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6884385 | 1444264 | 2018 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Analyzing the DarkNetMarkets subreddit for evolutions of tools and trends using LDA topic modeling
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
شبکه های کامپیوتری و ارتباطات
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Darknet markets, which can be considered as online black markets, in general sell illegal items such as drugs, firearms, and malware. In July 2017, significant law enforcement operations compromised or completely took down multiple international darknet markets. To quickly understand how this affected the markets and the choice of tools utilized by users of darknet markets, we use unsupervised topic modeling techniques on the DarkNetMarkets subreddit in order to determine prominent topics and terms, and how they have changed over a year's time. After extracting, filtering out irrelevant posts, and preprocessing the text crawled from the subreddit, we perform Latent Dirichlet Allocation (LDA) topic modeling on a corpus of posts for each month from November 5th, 2016 to November 5th, 2017. Our results indicate that even analyzing public forums such as the DarkNetMarkets subreddit can reveal trends and keywords related to criminal activity and their methods, and that users of the dark web appear to be becoming increasingly more security-minded due to the recent law enforcement events.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Digital Investigation - Volume 26, Supplement, July 2018, Pages S87-S97
Journal: Digital Investigation - Volume 26, Supplement, July 2018, Pages S87-S97
نویسندگان
Kyle Porter,