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Component-Based Malicious Software Engineer Intrusion Detection

Authors: Michael Eonsuk Shin; Snehadeep Sethia; Nipul Patel;

Component-Based Malicious Software Engineer Intrusion Detection

Abstract

These days, security-sensitive business application systems are developed and maintained by more than one software engineer, some of which may be unethical or malicious. Unethical software engineers can insert malicious code to the systems or maliciously change the existing code in the systems to gain personal benefits. As the result, security of the business application systems can be compromised. This paper describes an approach to detecting malicious code created by malicious software engineers in components. This paper is an extension to our previous work detecting malicious code attacking security-sensitive information within a component. In particular, this paper focuses on detecting malicious code in a component that intrudes security-sensitive information in different components in an application. For this, an application system monitor(s) is designed to detect intrusion between components using the business process encapsulated in the monitor(s). The proposed approach is applied to the ATM system and B2B electronic commerce system to evaluate the performance.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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