Evolving sharing strategies in cybersecurity information exchange framework
Iman Vakilinia, Sushil J. Louis, Shamik Sengupta · Proceedings of the Genetic and Evolutionary Computation Conference Companion · 2017
Cybersecurity information sharing among participating organizations proactivly helps defend against attackers. However, such sharing also exposes potentially sensitive organizational information. We attack the problem of finding sharing incentives and penalties that maximize sharing utility while minimizing risk by modeling cybersecurity information sharing as an iterated prisoner's delimma-like game. A genetic algorithm then evolves potential strategies that lead to high utility for an organization participating in a Cybersecurity Information Exchange. Preliminary results indicate that the genetic algorith finds strategies better random or Tit-for-tat.