DocumentCode
472418
Title
Cooperation Forensic Computing Research
Author
Zhang, Youdong
Author_Institution
Huaiyin Inst. of Technol., Huaiyin
fYear
2008
fDate
23-24 Jan. 2008
Firstpage
25
Lastpage
30
Abstract
The network forensic computing is faced with the question of the complex network intrusion analyses. So a new concept of cooperation forensic computing is defined. Through to extend the theory of function dependency, a new method called probability function dependency relationships is proposed. Combined it with the Bayesian network and K2 algorithm, the network forensic computing algorithm called CFA is proposed. For the complex network attack, CFA is able to synthesize the various forensic data resource to reappearance the crime scenario intuitionally and realize the network forensic analysis effectively.
Keywords
Bayes methods; probability; security of data; telecommunication security; Bayesian network; K2 algorithm; cooperation forensic computing; network forensic computing; network intrusion analysis; probability function dependency relationships; Algorithm design and analysis; Bayesian methods; Complex networks; Computer networks; Data engineering; Data mining; Data preprocessing; Forensics; Knowledge engineering; Network synthesis;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge Discovery and Data Mining, 2008. WKDD 2008. First International Workshop on
Conference_Location
Adelaide, SA
Print_ISBN
978-0-7695-3090-1
Type
conf
DOI
10.1109/WKDD.2008.128
Filename
4470343
Link To Document