Fighting botnets with economic uncertainty

被引:3
|
作者
Li, Zhen [2 ]
Liao, Qi [1 ]
Blaich, Andrew [1 ]
Striegel, Aaron [1 ]
机构
[1] Univ Notre Dame, Dept Comp Sci & Engn, Notre Dame, IN 46556 USA
[2] Albion Coll, Dept Econ & Management, Albion, MI 49224 USA
关键词
botnet; economics; uncertainty; virtual bots; virtual machines; DDoS spam;
D O I
10.1002/sec.235
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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 profit-maximizing 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 (C) 2010 John Wiley & Sons, Ltd.
引用
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页码:1104 / 1113
页数:10
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