Malicious Users’ Transactions: Tackling Insider Threat - Information Security and Privacy Research Access content directly
Conference Papers Year : 2012

Malicious Users’ Transactions: Tackling Insider Threat

Abstract

This paper investigates the issues of malicious transactions by insiders in database systems. It establishes a number of rule sets to constrain the relationship between data items and transactions. A type of graph, called Predictive Dependency Graph, has been developed to determine data flow patterns among data items. This helps in foretelling which operation of a transaction has the ability to subsequently affect a sensitive data item. In addition, the paper proposes a mechanism to monitor suspicious insiders’ activities and potential harm to the database. With the help of the Predictive DependencyGraphs, the presented model predicts and prevents potential damage caused by malicious transactions.
Fichier principal
Vignette du fichier
978-3-642-30436-1_18_Chapter.pdf (163.16 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01518221 , version 1 (04-05-2017)

Licence

Attribution

Identifiers

Cite

Weihan Li, Brajendra Panda, Qussai Yaseen. Malicious Users’ Transactions: Tackling Insider Threat. 27th Information Security and Privacy Conference (SEC), Jun 2012, Heraklion, Crete, Greece. pp.211-222, ⟨10.1007/978-3-642-30436-1_18⟩. ⟨hal-01518221⟩
63 View
80 Download

Altmetric

Share

Gmail Facebook X LinkedIn More