@inproceedings{08aba7c174a84b2db3705d5f4e83e6e0,
title = "Optimization Framework for Malware Detection Based on Adversarial Networks and Gradient Reversal",
abstract = "Packing is a prevalent method employed by malware to evade antivirus software. Early on, there were fewer instances of benign software being packed, leading to biases in datasets collected by antivirus vendors. These biases have caused malware detection engines based on deep learning to overly rely on features from the packed regions. With the increasing use of packing techniques for purposes such as copyright protection, more benign software applications are susceptible to being misclassified as malware. Balancing effective malware detection while mitigating false positives for benign packed software is a pressing issue. To address this challenge, we propose an optimization framework for malware detection based on adversarial networks and gradient reversal. By integrating adversarial networks and gradient reversal techniques, this framework diminishes the reliance on packing-related features during malware detection, prompting deep learning models to prioritize features unrelated to packing. Experimental results demonstrate that our framework significantly enhances malware detection accuracy, particularly showcasing robust capabilities in detecting newly packed malware.",
keywords = "Adversarial network, Gradient reversal, Malware, Optimization framework",
author = "Yanchen Qiao and Bowen Li and Weizhe Zhang and Yu Zhang and Shudong Li",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.; 3rd International Conference on Cyberspace Simulation and Evaluation, CSE 2024 ; Conference date: 26-11-2024 Through 28-11-2024",
year = "2025",
doi = "10.1007/978-981-96-4503-9\_20",
language = "英语",
isbn = "9789819645022",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "295--309",
editor = "Guangxia Xu and Guangxia Xu and Wanlei Zhou and Jiawei Zhang and Yanchun Zhang and Yan Jia",
booktitle = "Cyberspace Simulation and Evaluation - 3rd International Conference, CSE 2024, Proceedings",
address = "德国",
}