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The static nature of current computing systems has made them easy to attack and harder to defend. Adversaries have an asymmetric advantage in that they have the time to study a system, identify its vulnerabilities, and choose the time and place of attack to gain the maximum benefit. The idea of moving-target defense (MTD) is to impose the same asymmetric disadvantage on attackers by making systems dynamic and therefore harder to explore and predict. With a constantly changing system and its ever adapting attack surface, attackers will have to deal with a great deal of uncertainty just like defenders do today. The ultimate goal of MTD is to increase the attackers’ workload so as to level the cybersecurity playing field for both defenders and attackers - hopefully even tilting it in favor of the defender.

征稿信息

重要日期

2016-07-27
初稿截稿日期

征稿范围

We welcome all works that fall under the broad scope of moving target defense, including research that shows negative results.

  • System randomization

  • Artificial diversity

  • Cyber maneuver

  • Bio-inspired defenses

  • Dynamic network configuration

  • Moving target in the cloud

  • System diversification techniques

  • Dynamic compilation techniques

  • Adaptive defenses

  • MTD quantification methods and models

  • Large-scale MTD (using multiple techniques)

  • Moving target in software coding, application APIs virtualization

  • Autonomous technologies for MTD

  • Theoretic study on modeling trade-offs of using MTD approaches

  • Human, social, and psychology aspects of MTD

  • Other related areas

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重要日期
  • 会议日期

    10月24日

    2016

    10月28日

    2016

  • 07月27日 2016

    初稿截稿日期

  • 10月28日 2016

    注册截止日期

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