NDLI: Selecting the minimal set of preferred responses to counter detected intrusions

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Selecting the minimal set of preferred responses to counter detected intrusions

Content Provider	ACM Digital Library
Author	Gunasekharan, Maheedhar Basu, Samik Santhanam, Ganesh Ram
Abstract	Over the past decades, cyber attacks have grown in frequency as well as in sophistication. Often, they elude the counter-measures that are in place due to inadequate expert man-power that is necessary to manually deploy the correct responses and maintain systems being compromised. In this paper, we present a decision support framework with the two specific objectives: to identify the best set of responses given the knowledge of the attack and the system being protected; and to identify the minimal set of responses that must be deployed. While appropriateness of responses is of utmost importance to safeguard systems from attacks, minimality in the number of responses, though an important factor from the deployment perspective, has often been discarded. Our framework leverages National Vulnerability Database as a source for information about the vulnerabilities exploited, relies on the pre-specified expert knowledge about the responses that can adequately stop attack and takes into considerations the impact of an attack as well as responses on the system being protected in terms of CIA vector. We investigate several heuristics for selecting best responses, discuss their relative advantages and disadvantages, and present a specific heuristic, which can produce the optimal result.
Starting Page	1
Ending Page	8
Page Count	8
File Format	PDF
ISBN	9781450348553
DOI	10.1145/3064814.3064824
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2017-04-04
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Preferences Vulnerabilities Responses
Content Type	Text
Resource Type	Article

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