التفاصيل البيبلوغرافية
| العنوان: |
OVERCOMING TOR: AN ANALYSIS OF VIDEO FINGERPRINTING ATTACKS WITH MACHINE LEARNING |
| المؤلفون: |
Thomas, Trevor J. |
| المساهمون: |
Barton, Armon C., Computer Science (CS), Xie, Geoffrey G. |
| بيانات النشر: |
Monterey, CA; Naval Postgraduate School |
| سنة النشر: |
2023 |
| المجموعة: |
Naval Postgraduate School: Calhoun |
| مصطلحات موضوعية: |
video fingerprinting, AI, TOR, artificial intelligence, The Onion Router |
| الوصف: |
Terrorist groups and violent extremist organizations have taken advantage of the anonymity provided by The Onion Router (Tor). They use it to clandestinely distribute video media to recruit and spread propaganda as well as incite others to commit acts of terrorism. This thesis seeks to continue a line of work in developing machine learning algorithms to conduct video fingerprinting attacks on network traffic transmitted over Tor in a closed world environment. It will expand upon previous research by using multiple media platforms for videos being streamed. The end goal from this line of research is a future product that the Department of Defense can apply against real world network traffic to identify individuals using Tor and the dark web for recruiting, training, and incitement of terror as well as identify individuals that are actively being recruited. ; Approved for public release. Distribution is unlimited. ; Lieutenant, United States Navy |
| نوع الوثيقة: |
thesis |
| وصف الملف: |
application/pdf |
| اللغة: |
unknown |
| Relation: |
368, Computer Science; 39268; https://hdl.handle.net/10945/72401 |
| الاتاحة: |
https://hdl.handle.net/10945/72401 |
| Rights: |
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. |
| رقم الانضمام: |
edsbas.81BDCA8D |
| قاعدة البيانات: |
BASE |