MODSC: Many-Objective-Optimization-Driven Data-Balancing Strategy in Cross-Architectural Malware Classification for Extreme IoT-Reference-Cited by-同舟云学术

MODSC: Many-Objective-Optimization-Driven Data-Balancing Strategy in Cross-Architectural Malware Classification for Extreme IoT

Author:

Cui Zhihua¹^ORCID,Zhang Zhigang¹^ORCID,Zhang Zhixia¹^ORCID,Zhang Wensheng²^ORCID,Chen Jinjun³^ORCID

Affiliation:

1. Shanxi Key Laboratory of Big Data Analysis and Parallel Computing, Taiyuan University of Science and Technology, Taiyuan, China

2. Institute of Automation, Chinese Academy of Sciences, Beijing, China

3. Department of Computing Technologies, Swinburne University of Technology, Melbourne, VIC, Australia

Funder

National Natural Science Foundation of China

Science and Technology Development Foundation of the Central Guiding Local

Shanxi Provincial Key Research and Development Project

Taiyuan University of Science and Technology Scientific Research Initial Funding

Australian Research Council (ARC) projects

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

Reference30 articles.

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