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Taylor–HHO algorithm: A hybrid optimization algorithm with deep long short‐term for malicious JavaScript detection

  • Published:2021-08-09 Issue:12 Volume:36 Page:7153-7176
  • ISSN:0884-8173
  • Container-title:International Journal of Intelligent Systems
  • language:en
  • Short-container-title:Int J Intell Syst

Author:

Alex Scaria1ORCID,Dhiliphan Rajkumar T.1ORCID

Affiliation:

1. Kalasalingam Academy of Research and Education Krishnankoil Srivilliputhur Tamil Nadu India

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Reference34 articles.

1. JaSt: Fully Syntactic Detection of Malicious (Obfuscated) JavaScript

2. SchüttK KloftM BikadorovA RieckK. Early detection of malicious behavior in JavaScript code. In: Proceedings of the5th ACM Workshop on Security and Artificial Intelligence. New York United States: Association for Computing Machinery;2012:15‐24.

3. Intrusion detection system for wireless mesh networks via improved whale optimization;Anand S;J Netw Commun Syst,2020

4. Scriptnet: neural static analysis for malicious JavaScript detection;Stokes JW;IEEE Military Communications Conference (MILCOM),2019

5. BrowserShield

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