Research Article
Collaboration of Intelligent Systems to Improve Information Security
@INPROCEEDINGS{10.1007/978-3-031-50580-5_6, author={Lili Diao and Honglan Xu}, title={Collaboration of Intelligent Systems to Improve Information Security}, proceedings={Multimedia Technology and Enhanced Learning. 5th EAI International Conference, ICMTEL 2023, Leicester, UK, April 28-29, 2023, Proceedings, Part IV}, proceedings_a={ICMTEL PART 4}, year={2024}, month={2}, keywords={Information Security Malware Intelligent System Model Collaboration}, doi={10.1007/978-3-031-50580-5_6} }- Lili Diao
Honglan Xu
Year: 2024
Collaboration of Intelligent Systems to Improve Information Security
ICMTEL PART 4
Springer
DOI: 10.1007/978-3-031-50580-5_6
Abstract
In more and more popular computer systems, industry protects the network on top of them via scanning malware (malicious software or applications) through some generic properties. It is useful but not accurate enough – even 0.01% of accuracy gain can cause millions of malicious software or applications over internet to steal privacy or break down computer systems. To address this problem, the paper proposes building independent intelligent systems to predict possibilities of malware through different angles: Generic properties, Import table properties, Opcode properties etc. Each single intelligent system does not have highest prediction accuracy; whereas, collaboration of independent intelligent systems can bring accuracy improvements over single ones in experiments, which brought tremendous value on helping improving computer information security.
