Resolving cross-site scripting attacks through genetic algorithm and reinforcement learning

作者：

Highlights：

• Cross-site scripting can be catastrophic for websites.

• Hybrid approach for Cross-site scripting prevention with dynamic cross-over rate.

• Soundness of results in detecting cross-site scripting.

• Adaptable to newly generated cross-site scripting payloads.

• Performs better on real data of cross-site scripting attacks.

摘要

•Cross-site scripting can be catastrophic for websites.•Hybrid approach for Cross-site scripting prevention with dynamic cross-over rate.•Soundness of results in detecting cross-site scripting.•Adaptable to newly generated cross-site scripting payloads.•Performs better on real data of cross-site scripting attacks.

论文关键词：Cross site scripting (XSS),Machine learning,Genetic algorithm,Reinforcement learning,Threat intelligence

论文评审过程：Received 7 August 2020, Revised 2 November 2020, Accepted 25 November 2020, Available online 27 November 2020, Version of Record 5 December 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114386