DocumentCode
1490325
Title
Flow-net methodology for accountability in wireless networks
Author
Xiao, Yang
Author_Institution
Univ. of Alabama, Tuscaloosa, AL, USA
Volume
23
Issue
5
fYear
2009
fDate
9/1/2009 12:00:00 AM
Firstpage
30
Lastpage
37
Abstract
Accountability implies that any entity should be held responsible for its own specific action or behavior so that the entity is part of larger chains of accountability. One of the goals of accountability is that once an event has transpired, the events that took place are traceable so that the causes can be determined afterward. The poor accountability provided by today´s computers and networks wastes a great deal of money and effort; examples include activities to identify whether a system is under reconnaissance or attack, and the difficulties of distinguishing legitimate emails from phishing attacks. This is due to the simple fact that today´s computing and network infrastructure was not built with accountability in mind. In this article we propose a novel methodology called flow-net for accountability. We apply this methodology to media access control and routing layers in wireless networks. We then compare the performance of flow-net with audit log files. This article presents a novel approach for traffic data collection that can also be used for forensics and intrusion detection purposes.
Keywords
access protocols; computer network management; mobile computing; security of data; telecommunication network routing; computing infrastructure; flow net methodology; forensic purposes; intrusion detection purposes; media access control; network infrastructure; routing layers; traffic data collection; wireless network accountability; Communication system traffic control; Computer crime; Computer networks; Forensics; Information security; Intrusion detection; Media Access Protocol; Reconnaissance; Routing; Wireless networks;
fLanguage
English
Journal_Title
Network, IEEE
Publisher
ieee
ISSN
0890-8044
Type
jour
DOI
10.1109/MNET.2009.5274919
Filename
5274919
Link To Document