@inproceedings{4d6163b58e944ea3b6bf335d85e01fef,
title = "A Classic Multi-method Collaborative Obfuscation Strategy",
abstract = "Code obfuscation is a kind of powerful protection technique for software code. At present, research on obfuscation techniques is mainly focused on analyzing the effect of single obfuscation method, leaving few discussions on cooperative obfuscation of multiple methods. This paper firstly presented a brief introduction of the concept and methods of code obfuscation, then designed and implemented an obfuscator with multiple obfuscation methods. Then, a collaborative obfuscation strategy suitable for multiple obfuscation methods is proposed in detail. Finally, we verified that the obfuscation strategy indeed improves the performance of obfuscation through experiments.",
keywords = "Code obfuscation, Collaborative obfuscation, JavaScript, Software maintainability index",
author = "Yujie Ma and Yuanzhang Li and Zhibin Zhang and Ruyun Zhang and Lu Liu and Xiaosong Zhang",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Singapore Pte Ltd.; 6th International Conference on Data Mining and Big Data, DMBD 2021 ; Conference date: 20-10-2021 Through 22-10-2021",
year = "2021",
doi = "10.1007/978-981-16-7502-7\_10",
language = "English",
isbn = "9789811675010",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "90--97",
editor = "Ying Tan and Yuhui Shi and Albert Zomaya and Hongyang Yan and Jun Cai",
booktitle = "Data Mining and Big Data - 6th International Conference, DMBD 2021, Proceedings",
address = "Germany",
}