Visibility-Aware Optimal Contagion of Malware Epidemics
| Autor: | Santosh S. Venkatesh, Soheil Eshghi, Saswati Sarkar |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
FOS: Computer and information sciences
0209 industrial biotechnology Computer Science - Cryptography and Security Visibility (geometry) 020206 networking & telecommunications Systems and Control (eess.SY) 02 engineering and technology computer.software_genre Computer security Optimal control Computer Science Applications Computer virus 020901 industrial engineering & automation Optimization and Control (math.OC) Control and Systems Engineering FOS: Electrical engineering electronic engineering information engineering FOS: Mathematics 0202 electrical engineering electronic engineering information engineering Computer Science - Systems and Control Malware Electrical and Electronic Engineering Mathematics - Optimization and Control Cryptography and Security (cs.CR) computer |
| Zdroj: | IEEE Transactions on Automatic Control. 62:5205-5212 |
| ISSN: | 1558-2523 0018-9286 |
| Popis: | Recent innovations in the design of computer viruses have led to new trade-offs for the attacker. Multiple variants of a malware may spread at different rates and have different levels of visibility to the network. In this work we examine the optimal strategies for the attacker so as to trade off the extent of spread of the malware against the need for stealth. We show that in the mean-field deterministic regime, this spread-stealth trade-off is optimized by computationally simple single-threshold policies. Specifically, we show that only one variant of the malware is spread by the attacker at each time, as there exists a time up to which the attacker prioritizes maximizing the spread of the malware, and after which she prioritizes stealth. Comment: Amended to include more explanations on assumptions, add more real-world context on new stealthy malware, and improve figures |
| Databáze: | OpenAIRE |
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