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  4. A Cyber-Attack Synergy Model Considering Both Positive and Negative Impacts from Each Attacker
 
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A Cyber-Attack Synergy Model Considering Both Positive and Negative Impacts from Each Attacker

Journal
International Journal of Distributed Sensor Networks
Journal Volume
2015
Pages
-
Date Issued
2015
Author(s)
Wang, Y.-S
Hung, L.-P
Rau, H.-H
YEONG-SUNG LIN  
DOI
10.1155/2015/423703
URI
https://scholars.lib.ntu.edu.tw/handle/123456789/457436
URL
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84937809810&doi=10.1155%2f2015%2f423703&partnerID=40&md5=37deefeecbddcd96456e7fe097aad166
Abstract
An emerging attack strategy, collaborative attack, is considered the next generation type of attack. There are only a few models quantifying the synergy of a collaborating attack. Further, previous models consider only positive effects regardless of potential disharmonious factors which are common in the real world. Contributions of this work are summarized as follows: first, this paper introduces a mathematical formulation measuring synergy which takes both positive and negative effects into consideration. This model can not only be applied in measuring collaborative attack effectiveness, but also be used to describe the synergy in other teamwork scenarios. The scenario of an applicable cyber-warfare can take place in a wired network, wireless network, or sensor network. Secondly, a meaningful connection between contest success function and Cobb-Douglas function is proposed and integrated in a cyber-attack scenario. Both the contest intensity of the contest success function and the sum of exponents of Cobb-Douglas function reflect an environmental factor regarding whether it encourages investing or not. Lastly, comparisons between the proposed model and the Cobb-Douglas function are also presented with a subsequent discussion of implications. The behavior of the proposed model is closer to reality and less coupled to another exogenous variable, contest intensity. © 2015 Yu-Shun Wang et al.
SDGs

[SDGs]SDG16

Other Subjects
Crime; Sensor networks; Wireless sensor networks; Attack strategies; Cobb Douglas functions; Contest intensities; Contest success function; Environmental factors; Exogenous variables; Mathematical formulation; Positive and negative effect; Computer crime
Type
journal article

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