我的经历

[1] 新加坡南洋理工大学：Research Fellow（2021 - present）
[2] 新加坡南洋理工大学：博士研究生（2018 - 2021）
[3] 深圳大学：研究助理（2017 - 2018）
[4] 深圳大学：硕士研究生（2014 - 2017）

最近论文

完整论文：我的Google Scholar专页

[1] Zhu, Yingying, Junwei Liang, Jianyong Chen, and Zhong Ming. "An improved NSGA-III algorithm for feature selection used in intrusion detection." Knowledge-Based Systems 116 (2017): 74-85.

[2] Junwei, Liang, Maode Ma, Muhammad Sadiq, and Kai-Hau Yeung. "A filter model for intrusion detection system in Vehicle Ad Hoc Networks: A hidden Markov methodology." Knowledge-Based Systems 163 (2019): 611-623. 

[3] Junwei, Liang, Jianyong Chen, Yingying Zhu, and Richard Yu. "A novel Intrusion Detection System for Vehicular Ad Hoc Networks (VANETs) based on differences of traffic flow and position." Applied Soft Computing 75 (2019): 712-727.

[4] Junwei Liang, Qiuzhen Lin, Jianyong Chen, Yingying Zhu, "a filter model based on hidden generalized mixture transition distribution model for intrusion detection system in vehicle ad hoc networks," IEEE Transactions on Intelligent Transportation Systems, 2019.

[5] Junwei, Liang, Maode Ma, Muhammad Sadiq, "FS-MOEA: A novel feature selection algorithm for intrusion detection in Vehicular Ad Hoc Networks," IEEE Transactions on Intelligent Transportation Systems, 2020. 

[6] Junwei, Liang, Maode Ma, "ECF-MRS: An Efficient and Collaborative Framework with Markov-based Reputation Scheme for IDSs in Vehicular Networks," IEEE Transactions on Information Forensics and Security, 2020.

[7] Junwei, Liang, Maode Ma, "Co-maintained Database based on Blockchain for IDSs: A Lifetime Learning Framework," IEEE Transactions on Network and Service Management, 2020. (Major Revision)

[8] Junwei Liang and Ma Maode, “Design of Feature Selection Algorithm Based on MOEA for IDSs in VANETs,” IECC 2020: Proceedings of the 2020 2nd International Electronics Communication Conference, 2020.

[9] Junwei Liang and Ma Maode, “An Efficient IDS with Markov-based Reputation Scheme for Vehicular Networks,” in 2020 IEEE Communication Conference (IEEE ICC), 2020.

[10] Junwei Liang and Ma Maode, “Incremental Database Based on Distributed Ledger Technology for IDSs,” in 2020 IEEE Global Communications Conference (IEEE GLOBECOM), 2020.

[11] Junwei Liang and Ma Maode, “GaDQN-IDS: A Novel Self-Adaptive IDS for VANETs Based on Bayesian Game Theory and Deep Reinforcement Learning,” IEEE Transactions on Intelligent Transportation Systems, 2020. (Under Review)

获得专利

[1] 车辆IDS检测辅助方法、装置、终端及存储介质 （公布号：CN109121116A, 公布日：2019-01-01）
[2] 车联网的入侵检测方法、装置、终端及存储介质（公布号：CN109040019A, 公布日：2018-12-18）

基本技能

[1] 英语能力：自由英语交流, IELTS：7, CET-6：504
[2] 计算机语言： HTML+CSS+JS/PHP, NS2, C/C++, JAVA
[3] 网络安全技术： IDS, DDOS, WIFI-Breaking, BlockChain

联系方式

[1] 私人邮箱：drimwa.l@gmail.com
[2] 学校邮箱：JUNWEI001@E.NTU.EDU.SG