A Cyber-Attack Synergy Model Considering Both Positive and Negative Impacts from Each Attacker
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 i...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2015-07-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2015/423703 |
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| _version_ | 1850105959858307072 |
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| author | Yu-Shun Wang Lun-Ping Hung Hsiao-Hsien Rau Frank Yeong-Sung Lin |
| author_facet | Yu-Shun Wang Lun-Ping Hung Hsiao-Hsien Rau Frank Yeong-Sung Lin |
| author_sort | Yu-Shun Wang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-30b36180bb0b493dac7e3a8ec6c63ff4 |
| institution | OA Journals |
| issn | 1550-1477 |
| language | English |
| publishDate | 2015-07-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-30b36180bb0b493dac7e3a8ec6c63ff42025-08-20T02:38:56ZengWileyInternational Journal of Distributed Sensor Networks1550-14772015-07-011110.1155/2015/423703423703A Cyber-Attack Synergy Model Considering Both Positive and Negative Impacts from Each AttackerYu-Shun Wang0Lun-Ping Hung1Hsiao-Hsien Rau2Frank Yeong-Sung Lin3 Department of Information Management, National Taiwan University, No. 1, Section 4, Roosevelt Road, Taipei 106, Taiwan Department of Information Management, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei, Taiwan Department of Information Management, National Taiwan University, No. 1, Section 4, Roosevelt Road, Taipei 106, TaiwanAn 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.https://doi.org/10.1155/2015/423703 |
| spellingShingle | Yu-Shun Wang Lun-Ping Hung Hsiao-Hsien Rau Frank Yeong-Sung Lin A Cyber-Attack Synergy Model Considering Both Positive and Negative Impacts from Each Attacker International Journal of Distributed Sensor Networks |
| title | A Cyber-Attack Synergy Model Considering Both Positive and Negative Impacts from Each Attacker |
| title_full | A Cyber-Attack Synergy Model Considering Both Positive and Negative Impacts from Each Attacker |
| title_fullStr | A Cyber-Attack Synergy Model Considering Both Positive and Negative Impacts from Each Attacker |
| title_full_unstemmed | A Cyber-Attack Synergy Model Considering Both Positive and Negative Impacts from Each Attacker |
| title_short | A Cyber-Attack Synergy Model Considering Both Positive and Negative Impacts from Each Attacker |
| title_sort | cyber attack synergy model considering both positive and negative impacts from each attacker |
| url | https://doi.org/10.1155/2015/423703 |
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