Online masquerade detection resistant to mimicry

作者：

Highlights：

• A framework for online detection of masquerade attacks is proposed.

• At the analysis stage, local alignment algorithms are introduced.

• At the verification stage, a validation scheme based on the U-test is implemented.

• For mimicry recognition, the parallel analysis of monitored actions is performed.

• For evaluating the approach, the SEA dataset is applied.

摘要

•A framework for online detection of masquerade attacks is proposed.•At the analysis stage, local alignment algorithms are introduced.•At the verification stage, a validation scheme based on the U-test is implemented.•For mimicry recognition, the parallel analysis of monitored actions is performed.•For evaluating the approach, the SEA dataset is applied.

论文关键词：Adversarial attacks,Identity theft,Information security,Intrusion detection,Masquerade attacks

论文评审过程：Received 9 March 2015, Revised 24 May 2016, Accepted 25 May 2016, Available online 26 May 2016, Version of Record 31 May 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.05.036