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研究生導(dǎo)師

信息網(wǎng)絡(luò)安全學(xué)院碩士研究生導(dǎo)師姜波

作者:  發(fā)布時(shí)間:2023-11-08 09:53  點(diǎn)擊數(shù):


基本信息

姜波,男,1985年08月出生,信息網(wǎng)絡(luò)安全學(xué)院 副研究員

學(xué)科專(zhuān)業(yè):警務(wù)

研究領(lǐng)域:網(wǎng)絡(luò)空間安全、人工智能、大數(shù)據(jù)智能處理

電子信箱:210








教育背景

2012-2016 中國(guó)科學(xué)院大學(xué) 博士


工作經(jīng)歷與社會(huì)兼職

2016.09 - 現(xiàn)在 中國(guó)科學(xué)院信息工程研究所 助理研究員,副研究員


科研情況

[1] 葉桓榮, 李牧遠(yuǎn), 姜波. 基于遷移學(xué)習(xí)和威脅情報(bào)的DGA惡意域名檢測(cè)方法研究[J]. 信息網(wǎng)絡(luò)安全, 2023, 23(10): 8-15.

[2] Susu Cui, Cong Dong, Meng Shen, Yuling Liu, Bo Jiang, Zhigang Lu. CBSeq: A Channel-level Behavior Sequence For Encrypted Malware Traffic Detection. IEEE Transactions on Information Forensics and Security, Volume 18, January 2023. pp 5011–5025.

[3] Xueying Han, Susu Cui, Song Liu, Chen Zhang, Bo Jiang, Zhigang Lu. Network Intrusion Detection Based on n-gram Frequency and Time-aware Transformer. Computers & Security, volume 128, May 2023, 103171.

[4] Chonghua Wang, Hao Zhou, Zhiqiang Hao, Shu Hu, Jun Li, Xueying Zhang, Bo Jiang, Xuehong Chen. Network Traffic Analysis Over Clustering-based Collective Anomaly Detection. Computer Networks, 2022:108760.

[5] Jiyue Tang, Le Yang, Song Liu, Wenmao Liu, Meng Wang, Chonghua Wang, Bo Jiang, Zhigang Lu. Caps-LSTM: A Novel Hierarchical Encrypted Traffic Identification using CapsNet and LSTM. The 3rd International Conference on Science of Cyber Security (SciSec 2021), August 13-15, 2021.

[6] 凌玥, 劉玉嶺, 姜波, 李寧, 盧志剛, 劉寶旭. 基于雙層異質(zhì)集成學(xué)習(xí)器的入侵檢測(cè)方法[J]. 信息安全學(xué)報(bào), 2021,6(3):16-28.

[7] Xueying Han, Rongchao Yin, Zhigang Lu, Bo Jiang, Yuling Liu, Song Liu, Chonghua Wang, Ning Li. STIDM: A Spatial and Temporal Aware Intrusion Detection Model. The 19th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom 2020), Guangzhou, China, December 29, 2020 - January 1, 2020.

[8] Yaopeng Han, Zhigang Lu, Bo Jiang, Yuling Liu, Chen Zhang, Zhengwei Jiang, Ning Li. MTLAT A Multi-Task Learning Framework Based on Adversarial Training for Chinese Cybersecurity NER. The 17th Annual IFIP International Conference on Network and Parallel Computing (NPC 2020), Zhengzhou, Henan, China, Sep 28-30, 2020.

[9] 董聰, 姜波, 盧志剛, 劉寶旭, 李寧, 馬平川, 姜政偉, 劉俊榮. 面向網(wǎng)絡(luò)空間安全情報(bào)的知識(shí)圖譜綜述. 信息安全學(xué)報(bào), 2020,5(5):56-76

[10] 蹇詩(shī)婕, 盧志剛, 杜丹, 姜波, 劉寶旭. 網(wǎng)絡(luò)入侵檢測(cè)技術(shù)綜述. 信息安全學(xué)報(bào), 2020,5(4):96-122

[11] 蹇詩(shī)婕, 盧志剛, 姜波, 劉玉嶺, 劉寶旭. 基于層次聚類(lèi)方法的流量異常檢測(cè). 信息安全研究, 2020,6(6):474-481.

[12] Cong Dong, Chen Zhang, Zhigang Lu, Baoxu Liu, Bo Jiang. CETAnalytics: Comprehensive Effective Traffic Information Analytics for Encrypted Traffic Classification. Computer Networks, 2020,176:107258.

[13] Qing Wang, Linyu Li, Bo Jiang, Zhigang Lu, Junrong Liu and Shijie Jian. Malicious Domain Detection Based on K-means and SMOTE. The 2020 International Conference on Computational Science (ICCS 2020), Amsterdam, The Netherlands, June 3-5, 2020.

[14] Feng Yi, Bo Jiang, Jianjun Wu, Lu Wang. Cybersecurity Named Entity Recognition using Multi-modal EnsembleLearning. IEEEAccess, 2020(8):63214-63224.

[15] Cong Dong, YuFan Chen, YunJian Zhang, Bo Jiang, DongXu Han, BaoXu Liu. An Approach for Scale Suspicious Network Events Detection. The 2019 IEEE International Conference on Big Data (IEEE BigData 2019), Los Angeles, CA, USA, Dec 9-12, 2019.

[16] Pingchuan Ma, Bo Jiang, Zhigang Lu, Ning Li and Zhengwei Jiang. Cybersecurity Named Entity Recognition using Bidirectional Long Short-Term Memory with Conditional Random Fields. The 16th Annual IFIP International Conference on Network and Parallel Computing (NPC 2019), Hohhot, Inner Mongolia, China, Aug 23-24, 2019.

[17] Susu Cui, Bo Jiang, Zhenzhen Cai, Zhigang Lu, Chen Zhang, Jian Liu. A Session-Packets-based Encrypted Traffic Classification using Capsule Neural Networks. The 21st IEEE International Conference on High Performance Computing and Communications (HPCC 2019), Zhangjiajie, China, Aug 10-12, 2019.

[18] Zhenzhen Cai, Bo Jiang, Zhigang Lu, Junrong Liu, Pingchuan Ma. isAnon: Flow-Based Anonymity Network Traffic Identification Using Extreme Gradient Boosting. The 2019 International Joint Conference on Neural Networks (IJCNN 2019), Budapest, Hungary, July 14-19, 2019.