Delivering diverse web server configuration in a moving target defense using evolutionary algorithms
| Autor: | Ernesto Serrano-Collado, Juan-Julián Merelo Guervós, Mario García-Valdez |
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| Rok vydání: | 2020 |
| Předmět: |
Profiling (computer programming)
Service (systems architecture) Web server Focus (computing) business.industry Computer science Distributed computing Evolutionary algorithm Cloud computing 0102 computer and information sciences 02 engineering and technology Attack surface computer.software_genre 01 natural sciences 010201 computation theory & mathematics 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing business computer Host (network) |
| Zdroj: | GECCO Companion |
| Popis: | Creating diverse service configurations that can be swiftly swapped is the essence of the so called Moving Target Defense: presenting a different attack surface for attackers profiling a system for further advances can be applied to many different services and systems. In this paper we focus on using evolutionary algorithms to generate a host of web server configurations. Even if this is an easy target for evolutionary algorithms, we will prove how evolutionary algorithms provide a supply of secure and diverse configurations, with minimum intervention of experts, even with the added challenge of the time the evaluation of a single system takes. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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