北京交通大学计算机与信息技术学院研究生导师：王伟

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基本信息

王伟，博士、教授、信息安全系主任

办公电话：010-51688637电子邮件： wangwei1@bjtu.edu.cn

通讯地址：本网页不经常更新。最新信息请访问：http://infosec.bjtu.edu.cn/wangwei邮编：100044

教育背景

2005年毕业于西安交通大学获博士学位(导师：管晓宏院士)。2006-2007在意大利Trento大学做博士后研究。2007-2008在法国Telecom Bretagne及法国国家计算机与自动化研究院(INRIA)做博士后研究。2009-2011作为欧洲ERCIM Fellow在挪威科技大学以及卢森堡大学SnT研究中心从事研究工作。2011年底加入北京交通大学计算机学院。2011年与2014年短期访问纽约大学;2019年访问阿卜杜拉国王科技大学。

工作经历

个人中文简历(2019年10月更新)

王伟，目前任北京交通大学计算机与信息技术学院教授，博导，信息安全系主任。2005年毕业于西安交通大学获博士学位。2005-2011年先后在意大利、法国、挪威和卢森堡等国家从事博士后或Research Fellow研究工作。

主要研究网络、系统、数据及区块链安全。目前主持国家重点研发计划项目(任务)和国家自然科学基金项目等项目。在国内外重要学术期刊或国际会议上发表论文90余篇，论文被引1500多次。2009 和2010 年连续两年获欧洲ERCIM“Alain Bensoussan”研究学者奖 (ERCIM Fellowship)。2009年获科技部和教育部联合主办的“春晖杯”创新创业大赛二等奖。2018年获省部级科技进步二等奖。是中国计算机协会(CCF)高级会员，CCF 青年计算机科技论坛(YOCSEF)学术委员会委员;CCF出版工作委员会执行委员;CCF区块链专业委员会发起委员;北京市网络法学研究会常务理事。

目前担任信息安全领域权威SCI期刊Computers & Security的编委，担任SCI 期刊Frontiers of Computer Science 的青年AE，担任《网络空间安全》期刊的编委;是期刊IEEE Network 的客座编辑(Guest Editor);是国际会议ICDIS 2018年技术委员会共同主席，是Globecom 2019, ICC 2018, ECML/PKDD 2018, SecureComm 2018, AsiaCCS 2016等60 余个国际会议的程序委员会委员。

研究方向

系统安全

应用安全

计算机技术(专业学位)

软件工程(专业学位)

招生专业

网络空间安全硕士

网络空间安全博士

电子信息硕士

科研项目

国家级课题，2019-2021，主持

国家自然科学基金，2018-2020，主持

国家重点研发计划子课题，2017-2021，主持

企业横向课题1，2019-2020，主持

企业横向课题2，2019-2021，主持

企业横向课题3，2018-2020，主持

企业横向课题4，2018-2020，主持

教育部留学回国人员基金，2014-01-07--2017-01-06，主持

中央高校基本科研业务费，2013-01-01--2014-12-31，主持

教育部博士点基金，2013-01-01--2015-12-31，主持

北京交通大学人才基金，2012-01-01--2013-12-31，主持

主要研究方向(基于课题以及长期兴趣)：

1. 社交网络隐私分析;

2. 物联网安全与工业控制安全;

3. 区块链安全与应用;

4. 恶意软件分析。

研究小组近几年课题经费充足，希望有志于科研的同学积极与我联系，攻读硕士或博士学位。有信必复!

课题组将为各位同学提供良好的科研条件和经费支持，优秀的同学有机会出国深造一段时间(对方提供所有经费)。

教学工作

入侵与检测技术(本科生课程，2011-至今，国家保密学院精品培育课程;中国大学MOOC(慕课)-国家精品课程在线学习平台建设课程)

恶意代码与异常检测(研究生课程，2018-至今)

专业实习(本科生课程，2014-至今)

算法设计与分析(研究生课程，2013-2017)

专业研究方法论与创新教育(本科生课程，2011-2017)

Information Security(留学生硕士课程，2015-2016)

密码学与安全协议(研究生课程，2012)

论文/期刊

本列表不经常更新，详细信息请查看我的个人主页：http://infosec.bjtu.edu.cn/wangwei

Journal Papers

Wei Wang, Yaoyao Shang, Yongzhong He, Yidong Li, Jiqiang Liu, BotMark: Automated botnet detection with hybrid analysis of flow-based and graph-based traffic behaviors, Information Sciences, 511: 284-296 (2020) [DOI][PDF].

Xing Liu, Jiqiang Liu, Sencun Zhu, Wei Wang*, Xiangliang Zhang, Privacy Risk Analysis and Mitigation of Analytics Libraries in the Android Ecosystem, IEEE Transactions on Mobile Computing, 2019 [DOI][PDF](to appear).

Xiaoming Li, Guangquan Xu, Xi Zheng, Kaitai Liang, Emmanouil Panaousis, Tao Li, Wei Wang, Chao Shen, Using Sparse Representation to Detect Anomalies in Complex WSNs, ACM Transactions on Intelligent Systems and Technology (TIST), 2019[DOI][PDF](to appear) .

Xiangyu Wei, Guangquan Xu, Hao Wang, Yongzhong He, Zhen Han, and Wei Wang*: Sensing Users’ Emotional Intelligence in Social Networks, IEEE Transactions on Computational Social Systems, 2019 [DOI][PDF](to appear).

Xiaoming Liu, Chao Shen, Wei Wang, Xiaohong Guan, CoEvil: A Co-Evolutionary Model for Crime Inference Based on Fuzzy Rough Feature Selection, IEEE Transactions on Fuzzy Systems, 2019 [DOI][PDF](to appear) .

Lichen Cheng, Jiqiang Liu, Guangquan Xu, Zonghua Zhang, Hao Wang, Hong-Ning Dai, Yulei Wu, and Wei Wang*: SCTSC: A Semi-centralized Traffic Signal Control Mode with Attribute-based Blockchain in IoVs, IEEE Transactions on Computational Social Systems, 2019 [DOI][PDF](to appear).

Lichen Cheng, Jiqiang Liu, Chunhua Su, Kaitai Liang, Guangquan Xu, Wei Wang*, “Polynomial-based Modifiable Blockchain Structure for Removing Fraud Transactions”, Future Generation Computer Systems, 99(10):154-163(2019) [DOI][PDF].

Wei Wang, Meichen Zhao, Zhenzhen Gao, Guangquan Xu, Yuanyuan Li, Hequn Xian, Xiangliang Zhang: Constructing Features for Detecting Android Malicious Applications: Issues, Taxonomy and Directions, IEEE Access, 7: 67602 – 67631, 2019 [DOI][PDF].

Nannan Xie, Xing Wang, Wei Wang*, Jiqiang Liu, “Fingerprinting Android Malware Families”, Frontiers of Computer Science, 13(3): 637–646 (2019)[DOI][PDF].

Weixuan Mao, Bo Sun, Guangquan Xu, Cheng Liu, Chengxiang Si, Wei Wang: Understanding Effects of Collaborations in Developing Mobile Computing Systems: Popularity, Efficiency, and Quality, IEEE Access, 7: 33380-33392 (2019) [PDF][PDF].

Yongzhong He, Xuejun Yang, Binghui Hu, Wei Wang*, Dynamic privacy leakage analysis of Android third-party libraries, Journal of Information Security and Applications , 99 (10): 154-163 (2019) [DOI][PDF].

Dan Su, Jiqiang Liu, Xiaoyang Wang, Wei Wang*, Detecting Android Locker-ransomware on Chinese Social Networks, IEEE Access, 7(1): 20381-20393, 2019 [DOI][PDF].

Wei Wang, Mengxue Zhao, Jigang Wang, “Effective android malware detection with a hybrid model based on deep autoencoder and convolutional neural network”, Journal of Ambient Intelligence and Humanized Computing, 10(8): 3035-3043 (2019) [DOI][PDF].

Lun Li, Jiqiang Liu, Lichen Cheng, Shuo Qiu, Wei Wang*, Xiangliang Zhang, Zonghua Zhang, “CreditCoin: A Privacy-Preserving Blockchain-based Incentive Announcement Network for Communications of Smart Vehicles”, IEEE Transactions on Intelligent Transportation Systems, 19(7): 2204-2220 (2018) [DOI][PDF], one of the 50 most frequently accessed documents for this Transaction! (2800+ full text views since 2018).

Xing Liu,Jiqiang Liu, Wei Wang*, Sencun Zhu, “Android single sign-on security: Issues, taxonomy and directions”, Future Generation Computer Systems, vol.89, pp. 402-420 (2018) [DOI][PDF].

Wei Wang, Yuanyuan Li, Xing Wang, Jiqiang Liu, Xiangliang Zhang, “Detecting Android Malicious Apps and Categorizing Benign Apps with Ensemble of Classifiers”, Future Generation Computer Systems, vol.78, pp. 987–994 (2018) [DOI][PDF].

Heng Ye, Jiqiang Liu, Wei Wang, Ping Li, Tong Li, Jin Li, “Secure and efficient outsourcing differential privacy data release scheme in Cyber-physical system”, Future Generation Computer Systems (to appear), 2018 [DOI][PDF].

Shuo Qiu, Jiqiang Liu, Yanfeng Shi, Ming Li, Wei Wang, “Identity-Based Private Matching over Outsourced Encrypted Datasets”, IEEE Transactions on Cloud Computing, 6(3):747-759 (2018) [DOI].

Dan Su, Jiqiang Liu, Wei Wang*, Xiaoyang Wang, Xiaojiang Du, Mohsen Guizani, “Discovering communities of malapps on Android-based mobile cyber-physical systems”, Ad Hoc Networks,80: 104-115 (2018) [DOI][PDF].

Yongzhong He, Endalew Elsabeth Alem, Wei Wang*, “Hybritus: A Password Strength Checker by Ensemble Learning from the Query Feedbacks of Websites”, Frontiers of Computer Science (to appear), 2018 [DOI][PDF].

Wei Wang, Zhenzhen Gao, Meichen Zhao, Yidong Li, Jiqiang Liu, Xiangliang Zhang, DroidEnsemble: Detecting Android Malicious Applications With Ensemble of String and Structural Static Features. IEEE Access 6: 31798-31807 (2018) [DOI][PDF].

Xing Liu, Jiqiang Liu, Wei Wang*, Yongzhong He, Xiangliang Zhang, “Discovering and Understanding Android Sensor Usage Behaviors with Data Flow Analysis”, World Wide Web, 21(1): 105-126 (2018)[DOI]

Wei Wang, Jiqiang Liu, Georgios Pitsilis, Xiangliang Zhang, “Abstracting Massive Data for Lightweight Intrusion Detection in Computer Networks”, Information Sciences, 433–434(4): 417-430 (2018) [DOI].

Yubin Yang, Zongtao Wei, Yong Xu, Haiwu He, Wei Wang, “DroidWard: An Effective Dynamic Analysis Method for Vetting Android Applications”, Cluster Computing (2018) 21: 265–275 [DOI][PDF].

Ming Fan, Jun Liu, Wei Wang, Haifei Li, Zhenzhou Tian and Ting Liu, “DAPASA: Detecting Android Piggybacked Apps Based on Sensitive-subgraph Analysis”, IEEE Transactions on Information Forensics and Security (TIFS), vol. 12, no. 8, pp. 1772-1785, 2017 [DOI].

Xing Wang, Wei Wang*, Yongzhong He, Jiqiang Liu, Zhen Han, Xiangliang Zhang, “Characterizing Android Apps’ Behavior for Effective Detection of Malapps at Large Scale”, Future Generation Computer Systems, vol. 75, pp. 30-45 (2017) [DOI].

Wei Huang, Chunwang Yan, Jinsong Wang, Wei Wang, “A time-delay neural network for solving time-dependent shortest path problem”, Neural Networks, vol. 90, pp. 21-28, 2017 [DOI].

马洪亮, 王伟*, 韩臻, “混淆恶意JavaScript代码的检测与反混淆方法研究”. 计算机学报, 40(7): 1799-1713, 2017.

马洪亮, 王伟*, 韩臻, “面向drive-by-download攻击的检测方法”.华中科技大学学报(自然科学版). 44卷, 3期, pp. 6-11, 2016 [PDF].

Wei Wang, Yongzhong He, Jiqiang Liu, Sylvain Gombault, “Constructing Important Features from Massive Network Traffic for Lightweight Intrusion Detection”. IET Information Security, vol. 9, no. 6, pp. 374-379, 2015.

Georgios Pitsilis, Wei Wang, “Harnessing the power of social bookmarking for improving tag-based recommendations”, Computers in Human Behavior (SSCI IF=2.273),vol. 50, pp. 239-251, 2015 [arXiv].

Wei Wang, Xing Wang, Dawei Feng, Jiqiang Liu, Zhan Han, Xiangliang Zhang, “Exploring Permission-induced Risk in Android Applications for Malicious Application Detection”. IEEE Transactions on Information Forensics and Security (TIFS), vol. 9, no. 11, pp.1869-1882, 2014 (frequently downloaded paper)[PDF][DOI].

Wei Wang, Thomas Guyet, Rene Quiniou, Marie-Odile Cordier, Florent Masseglia, Xiangliang Zhang, “Autonomic Intrusion Detection: Adaptively Detecting Anomalies over Unlabeled Audit Data Streams in Computer Networks”. Knowledge-Based Systems (IF(2012)=4.104, IF (2013) =3.058), vol.70 no. 11, pp. 103-117, 2014 [PDF][DOI]

Tong Wu, Zhen Han, Wei Wang, Lizhi Peng, “Early-stage internet traffic identification based on packet payload size”. Journal of Southeast University (English Edition). vol. 30, no. 3, pp. 289-295, 2014.

马洪亮，王伟*，韩臻, “基于Javascript的轻量级恶意网页异常检测方法”.华中科技大学学报(自然科学版). 42卷, 11期, pp. 34-38, 2014.

Wei Wang, Xiangliang Zhang, Wenchang Shi, Shiguo Lian, Dengguo Feng, “Understanding and analyzing network traffic”. IEEE Network, vol. 26, no.1, pp. 4-5, Jan 2012

Wei Wang, Xiangliang Zhang, Wenchang Shi, Shiguo Lian, Dengguo Feng, “Network traffic monitoring, analysis and anomaly detection”, IEEE Network, vol. 25, no. 3, pp. 6-7, May 2011

Wei Wang, Xiangliang Zhang, Sylvain Gombault, “Constructing Attribute Weights from Audit Data for Effective Intrusion Detection”, Journal of Systems and Software, vol.82, no.12, pp.1974-1981, 2009

Li Feng, Wei Wang, Lina Zhu, Yi Zhang, “Predicting Intrusion Goal Using Dynamic Bayesian Network with Transfer Probability Estimation”. Journal of Network and Computer Applications, vol. 32, no. 3, pp. 721-732, 2009

Xiaohong Guan, Wei Wang (corresponding author), Xiangliang Zhang, “Fast Intrusion Detection Based on a Non-negative Matrix Factorization Model”. Journal of Network and Computer Applications, vol. 32, no.1, pp.31-44, 2009

Wei Wang, Xiaohong Guan and Xiangliang Zhang, “Processing of Massive Audit Data Streams for Real-Time Anomaly Intrusion Detection”. Computer Communications, vol. 31, no. 1, pp.58-72, 2008

Wei Wang, Xiaohong Guan, Xiangliang Zhang, Liwei Yang, “Profiling program behavior for anomaly intrusion detection based on the transition and frequency property of computer audit data”. Computers & Security, vol. 25, no 7, pp. 539-550, 2006

张响亮,王伟,管晓宏;基于隐马尔可夫模型的程序行为异常检测[J];西安交通大学学报;2005年10期,Vol. 39, no.10, pp. 1056-1059

王伟,陈秀真,管晓宏,张响亮;深度防卫的自适应入侵检测系统[J];西安交通大学学报;2005年04期, vol 39, no. 4, pp. 339~342

王伟,彭勤科.主机日志分析及其在入侵检测中的应用.计算机工程与应用, 2002(13):35-37

林晖,王伟,张优云;基于产品特征的信息检索技术[J];计算机辅助设计与图形学学报;2002年03期, pp. 261~265, 2002

Conference Paper

[1]. Jin Li, Heng Ye, Wei Wang, Wenjing Lou, Y. Thomas Hou, Jiqiang Liu and Rongxing Lu: Efficient and Secure Outsourcing of Differentially Private Data Publication, accepted by 23rd European Symposium on Research in Computer Security (ESORICS 2018), Barcelona, Spain, September 3-7, 2018 (acceptance rate = 56/283 = 19.8%).

[3]. Yan Chen, Wei Wang, Xiangliang Zhang: Randomizing SVM against Adversarial Attacks Under Uncertainty, accepted by 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2018), Melbourne, Australia, June 3rd - 6th, 2018 (regular paper with long presentation, acceptance rate = 59/590=10%).

[4]. Longfei Wu, Xiaojiang Du, Wei Wang, Bin Lin, “An Out-of-band Authentication Scheme for Internet of Things Using Blockchain Technology”. Accepted by 2018 International Conference on Computing, Networking and Communications (ICNC 2018), Maui, Hawaii, USA, March 5-8, 2018 (acceptance rate = 26%).

[5]. Xing Liu, Sencun Zhu, Wei Wang*, Jiqiang Liu, “Alde: Privacy Risk Analysis of Analytics Libraries in the Android Ecosystem”. Accepted by the 12th EAI International Conference on Security and Privacy in Communication Networks (SecureComm 2016), Guangzhou, China, October, 10-12, 2016 (acceptance rate=32/137=23.4%).

[6]. Dan Su, Wei Wang*, Xing Wang, Jiqiang Liu, “Anomadroid: profiling Android application behaviors for identifying unknown malapps”, accepted by 15th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom 2016), Tianjin, China, 23-26 August, 2016.

[7]. Shuo Qiu, Boyang Wang, Ming Li, Jesse Victors, Jiqiang Liu, Yanfeng Shi, Wei Wang, “Fast, Private and Verifiable: Server-aided Approximate Similarity Computation over Large-Scale Datasets”. Proceedings of the 4th ACM International Workshop on Security in Cloud Computing, SCC@AsiaCCS, pp. 29-36, Xi’an, China, May 30 – June 3, 2016

[8]. Xing Liu, Jiqiang Liu, Wei Wang* “Exploring Sensor Usage Behaviors of Android Applications Based on Data Flow Analysis”, Proceedings of the 34th IEEE International Performance Computing and Communications Conference (IPCCC 2015), Nanjing, China, December 14-16, 2015 (acceptance rate=88/298=29.5%).

[9]. Xing Liu, Wei Wang, Jiqiang Liu, “POSTER: The Popular Apps in Your Pocket Are Leaking Your Privacy”, 22nd ACM Conference on Computer and Communications Security (ACM CCS 2015 (Poster)), pp. 1653-1655, Denver, Colorado, October 12-16, 2015.

[10]. Georgios Pitsilis, Xiangliang Zhang, Wei Wang, “Clustering Recommenders in Collaborative Filtering Using Explicit Trust Information”, 5th IFIP WG 11.11 International Conference on Trust Management (IFIPTM 2011), Springer, pp. 82-97, Copenhagen, Denmark, June 29- July 1, 2011

[11]. Wei Wang, Xiangliang Zhang, “High-speed Web Attack Detection through Extracting Exemplars from HTTP Traffic”, 26th ACM Symposium on Applied Computing (ACM SAC 2011)(Security track), ACM Press, pp. 1538-1543, TaiChung, Taiwan, 21-25 March, 2011 (security track acceptance rate=9/41=22%). }

[12]. Xiangliang Zhang, Wei Wang, Kjetil Norvag, Michele Sebag, “K-AP: Generating Specified K Clusters by Efficient Affinity Propagation”, 10th IEEE International Conference on Data Mining (ICDM 2010), pp. 1187-1192, Sydney, Australia, December 14-17, 2010 (acceptance rate=155/797=19.4%)

[13]. Atef Abdelkefi, Yuming Jiang, Wei Wang, Arne Aslebo, Olav Kvittem, “Robust Traffic Anomaly Detection with Principal Component Pursuit”, Student Workshop, ACM CoNEXT 2010, Philadelphia, USA, November 2010

[14]. Wei Wang, Xiangliang Zhang, Georgios Pitsilis, “Abstracting Audit Data for Efficient Anomaly Intrusion Detection”, Sixth International Conference on Information Systems Security (ICISS 2010), pp. 201-215, Gandhinagar, Gujarat, India, December 15-19, 2010 (acceptance rate 14/51=27.5%)

[15]. Xiangliang Zhang, Wei Wang, “Self-adaptive Change Detection in Streaming Data with Non-stationary Distribution”, 6th International Conference on Advanced Data Mining and Applications (ADMA 2010), pp. 334-345, Chongqing, China, Nov. 19-21, 2010 (oral full paper, acceptance rate = 17%)}

[16]. Wei Wang, Xiangliang Zhang, Sylvain Gombault, Svein J. Knapskog, “Attribute Normalization in Network Intrusion Detection”, 10th International Symposium on Pervasive Systems, Algorithms and Networks (I-SPAN 2009), IEEE Press, pp. 448-453, Kaohxiung, Taiwan, China, Dec 14-16, 2009

[17]. Wei Wang, Thomas Guyet and Svein J. Knapskog, “Autonomic Intrusion Detection System”. Proceedings of 12th International Symposium on Recent Advances in Intrusion Detection (RAID 2009), pp. 359-361, LNCS 5758, Sep 23-25, 2009 (Poster presentation)

[18]. Wei Wang, Florent Masseglia, Thomas Guyet, Rene Quiniou and Marie-Odile Cordier, “A General Framework for Adaptive and Online Detection of Web attacks”. 18th international World Wide Web conference (WWW 2009), pp. 1141-1142, ACM press, Madrid, Spain, Apr 20-24, 2009 (Poster presentation)

[19]. Thomas Guyet, Wei Wang, Rene Quiniou, Marie-Odile Cordier, “Diagnostic adaptatif distribue d’un flux de donnees. Application a la detection d’intrusion dans des serveurs Web”. Proceedings of conference Extraction et Gestion des Connaissances (EGC 2009), pp. 325-336, Strasbourg, France, Jan 2009 (Nominated for best application paper award, in French)

[20]. Wei Wang, Thomas Guyet, Rene Quiniou, Marie-Odile Cordier, Florent Masseglia, “Online and adaptive anomaly Detection: detecting intrusions in unlabelled audit data streams”, Proceedings of conference Extraction et Gestion des Connaissances (EGC 2009)(Poster), pp. 457-458, Strasbourg, France, Jan 2009

[21]. Wei Wang, Sylvain Gombault, “Efficient Detection of DDoS Attacks with Important Attributes”. Proceedings of 3rd International Conference on Risks and Security of Internet and Systems (CRiSIS 2008), pp. 61-67, IEEE Press, Tozeur, Tunisia, Oct 28-30, 2008.

[22]. Wei Wang, Sylvain Gombault, Thomas Guyet, “Towards fast detecting intrusions: using key attributes of network traffic”. Proceedings of The Third International Conference on Internet Monitoring and Protection (ICIMP 2008), IEEE Computer society press, Bucharest, Romania, pp. 86-91, June 29 – July 5, 2008 (acceptance rate 23%) (Best paper award)

[23]. Wei Wang, Sylvain Gombault, Amine Bsila, “Building multiple behavioral models for network intrusion detection”. 2nd IEEE Workshop on “Monitoring, Attack Detection and Mitigation” (MonAM 2007), Toulouse, pp. 31-36, France, Nov 2007

[24]. Wei Wang, Sylvain Gombault, “Detecting masquerades with principal component analysis based on cross frequency weights”. Proceedings of 14th Anniversary HP-SUA Workshop, Munich, Germany, pp. 227-232, July 2007

[25]. Wei Wang, Sylvain Gombault, “Distance measures for anomaly intrusion detection”. Proceedings of 2007 International Conference on Security and management, Las Vegas, NV, pp. 17-23, June 2007 (SAM 2007) (regular paper, acceptance rate 28%)

[26]. Wei Wang, Roberto Battiti, “Identifying Intrusions in Computer Networks with Principal Component Analysis”. Proceedings of First IEEE International Conference on Availability, Reliability and Security (ARES 2006), IEEE press society, pp. 270-277, April, 20-22nd, Vienna, Austria, 2006

[27]. Wei Wang, Xiaohong Guan, Xiangliang Zhang, “Profiling Program and User Behavior for Anomaly Intrusion Detection Based on Non-negative Matrix Factorization”. Proceedings of 43rd IEEE Conference on Decision and Control (CDC 2004), Atlantis, Paradise Island, Bahamas, pp. 99-104, Dec 2004

[28]. Wei Wang, Xiaohong Guan and Xiangliang Zhang. “A Novel Intrusion Detection Method Based on Principal Component Analysis in Computer Security”. Advances in Neural Networks-ISNN 2004. International IEEE Symposium on Neural Networks, Dalian, China. Lecture Notes in Computer Science (LNCS), No. 3174. pp. 657-662. Aug 2004

[29]. Wei Wang, Xiaohong Guan and Xiangliang Zhang, “Modeling Program Behavior by Hidden Markov Models for Intrusion Detection”. The Third IEEE International Conference on Machine Learning and Cybernetics (ICMLC 2004), Shanghai, China, pp. 2830-2835.

Ph.D. Thesis

王伟, 多信息源的实时入侵检测方法研究, 西安交通大学, 2005 [WangPhDThesis]

Other Papers

王伟, 何永忠, 以完整解决一个具体问题为中心的研究性教学, 计算机教育(录用), 2014年

何永忠, 王伟，黎琳, 基于云计算的信息安全实验教学系统构建, 计算机教育(录用), 2014年

获奖与荣誉

2018年，省部级科技进步二等奖

2010年，欧洲ERCIM学者奖(ERCIM “Alain Bensoussan” Fellowship Award (2010-2011) (http://fellowship.ercim.eu/))

2009年，第四届“春晖杯”留学人员创新创业大赛(教育部科技部联合主办)二等奖 (第一完成人)

2009年，EGC最佳应用论文提名奖

2008年，欧盟ERCIM学者奖(ERCIM “Alain Bensoussan" Fellowship Award (2009-2010))

2008年，ICIMP 最佳论文奖

社会兼职

国际权威SCI期刊Computers & Security编委

《网络空间安全》期刊编委

60余个国际学术会议的程序委员会委员-TPC Member

SCI期刊Frontiers of Computer Science的青年AE (Associate Editor)

242国家信息安全计划项目会评专家

中国计算机协会高级会员 (CCF)

中国计算机协会青年科技论坛学术委员会委员(YOCSEF AC)

CCF 区块链专委会发起委员

CCF出版工委执行委员

北京市网络法学研究会常务理事