File:A real-time system for abusive network traffic detection (IA arealtimesystemf109455754).pdf
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Summary[edit]
A real-time system for abusive network traffic detection ( ) | |
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Author |
Kakavelakis, Georgios. |
Title |
A real-time system for abusive network traffic detection |
Publisher |
Monterey, California. Naval Postgraduate School |
Description |
Abusive network traffic--to include unsolicited e-mail, malware propagation, and denial-of-service attacks--remains a constant problem in the Internet. Despite extensive research in, and subsequent deployment of, abusive-traffic detection infrastructure, none of the available techniques addresses the problem effectively or completely. The fundamental failing of existing methods is that spammers and attack perpetrators rapidly adapt to and circumvent new mitigation techniques. Analyzing network traffic by exploiting transport-layer characteristics can help remedy this and provide effective detection of abusive traffic. Within this framework, we develop a real-time, online system that integrates transport layer characteristics into the existing SpamAssasin tool for detecting unsolicited commercial e-mail (spam). Specifically, we implement the previously proposed, but undeveloped, SpamFlow technique. We determine appropriate algorithms based on classification performance, training required, adaptability, and computational load. We evaluate system performance in a virtual test bed and live environment and present analytical results. Finally, we evaluate our system in the context of Spam Assassin's auto-learning mode, providing an effective method to train the system without explicit user interaction or feedback. Subjects: Computer science; Machine learning |
Language | English |
Publication date | March 2011 |
Current location |
IA Collections: navalpostgraduateschoollibrary; fedlink |
Accession number |
arealtimesystemf109455754 |
Source | |
Permission (Reusing this file) |
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted. |
Licensing[edit]
Public domainPublic domainfalsefalse |
This work is in the public domain in the United States because it is a work prepared by an officer or employee of the United States Government as part of that person’s official duties under the terms of Title 17, Chapter 1, Section 105 of the US Code.
Note: This only applies to original works of the Federal Government and not to the work of any individual U.S. state, territory, commonwealth, county, municipality, or any other subdivision. This template also does not apply to postage stamp designs published by the United States Postal Service since 1978. (See § 313.6(C)(1) of Compendium of U.S. Copyright Office Practices). It also does not apply to certain US coins; see The US Mint Terms of Use.
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This file has been identified as being free of known restrictions under copyright law, including all related and neighboring rights. |
https://creativecommons.org/publicdomain/mark/1.0/PDMCreative Commons Public Domain Mark 1.0falsefalse
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current | 18:09, 14 July 2020 | 1,275 × 1,650, 90 pages (1.14 MB) | Fæ (talk | contribs) | FEDLINK - United States Federal Collection arealtimesystemf109455754 (User talk:Fæ/IA books#Fork8) (batch 1993-2020 #8131) |
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Author | silva |
Software used | PScript5.dll Version 5.2 |
File change date and time | 06:51, 20 January 2012 |
Date and time of digitizing | 03:31, 25 March 2011 |
Date metadata was last modified | 06:51, 20 January 2012 |
Conversion program | Acrobat Distiller 8.2.6 (Windows) |
Encrypted | no |
Page size | 612 x 792 pts (letter) |
Version of PDF format | 1.4 |