Fighting botnets with economic uncertainty
| Autor: | Aaron Striegel, Qi Liao, Zhen Li, Andrew C. Blaich |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Software_OPERATINGSYSTEMS
Optimization problem Computer Networks and Communications Computer science business.industry ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS Botnet Root cause Computer security computer.software_genre ComputingMilieux_MANAGEMENTOFCOMPUTINGANDINFORMATIONSYSTEMS Srizbi botnet Virtual machine ComputingMilieux_COMPUTERSANDSOCIETY Revenue The Internet Profitability index business computer Information Systems |
| Zdroj: | Security and Communication Networks. 4:1104-1113 |
| ISSN: | 1939-0114 |
| DOI: | 10.1002/sec.235 |
| Popis: | Botnets have become an increasing security concern in today’s Internet. Since current technological defenses against botnets have failed to produce results, it has become necessary to think about different strategies. Given that money is perhaps the single determining force driving the growth in botnet attacks, we propose an interesting economic approach to take away the root cause of botnet, i.e., the financial incentives. In this paper, we model botnet-related cyber crimes as a result of profitmaximizing decision-making optimization problem from the perspective of botmasters. By introducing the uncertainty level created by the virtual bots, we make determining the optimal botnet size infeasible for the botnet operators, and consequently the botnet profitability can fall dramatically. The theoretical model presented here has a large potential to fight off botnet-related attacks of varying revenue patterns. Copyright © 2010 John Wiley & Sons, Ltd. |
| Databáze: | OpenAIRE |
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