Title :
Notice of Retraction
Creating user-relationship-graph in use of flow-net and log files for computer and network accountability and forensics
Author :
Takahashi, D. ; Yang Xiao ; Ke Meng
Author_Institution :
Dept. of Comput. Sci., Univ. of Alabama, Tuscaloosa, AL, USA
fDate :
Oct. 31 2010-Nov. 3 2010
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In log files, not all information/events are recorded and it is thus impossible to trace the paths of secret leaking based on log files alone. In this paper, we utilize user-relationship-graphs, or social networks, to compensate for the required information. User-relationship-graphs are constructed from several flow-net data structures over a longer period so that we can avoid missing embedded threats such as hostile codes. We call this approach virtual flow-net.
Keywords :
computer forensics; data structures; graph theory; social networking (online); computer forensics; embedded threat; flow-net data structure; log file; network accountability; secret leaking; social networks; user-relationship-graph; virtual flow-net; Computers; Data structures; Databases; Electronic mail; Forensics; Servers; Social network services;
Conference_Titel :
MILITARY COMMUNICATIONS CONFERENCE, 2010 - MILCOM 2010
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4244-8178-1
DOI :
10.1109/MILCOM.2010.5679519
