Dr. Ming Li (English version)
 
基本情况
李明, 博士, 教授, 博士生导师
硕士(中国船舶科学研究中心)
博士(香港城市大学计算机科学系)
博士后,研究员(新加坡国立大学计算学院)
通信与信息系统教研室, 办公室电话:62233389
E-Mails: mli@ee.ecnu.edu.cn,  ming_lihk@yahoo.com

Personal URL: http://www.freewebs.com/mingli/

Business URL: http://www.ee.ecnu.edu.cn/teachers/mli/js_lm(Eng).htm 

过期的URL: http://www.comp.nus.edu.sg/~lim/ 

通信地址(新): 上海市东川路500号, 华东师范大学信息科技学院, 邮编: 200241

通信地址(旧):上海市中山北路3663号,华东师范大学信息科技学院,邮编: 200062

 

 

                          
 
科研情况
当前研究领域:分布式实时系统; 网络流量建模; 网络安全; 应用统计学; 测试与试验技术; 实验力学.
课题项目:1) 主持一项国家自然科学基金项目(2006.1-2008.12);

与国内外多所大学的计算机科学系有科研合作

所获奖励:
 
兼任学术职务:

1.学会; 中国电工学会高级会员;中国电子学会会员;中国力学学会会员;IEEE会员; 世界科学与工程学会计算机科学工作组成员

2.国际会议

  • 技术委员, 第五届计算机和信息技术国际会议, CIT2005, 2005, 上海.

  • 第五届并行与分布计算、应用和技术国际会议, PDCAT 04, 会场主席(安全性I, 安全性II),新加坡, 2004.

  • 会场主席(安全), AWCC 2004,中国.

  • 第四届国际互联网计算会议技术委员会委员,IC03, 美国, 2003.

  • 第二届国际通信、信息和信号处理会议阵列信号处理会场主席, ICICS'99,  新加坡,1999.

3.国际杂志评委

3.1. IEEE Transactions on Parallel and Distributed Systems.

3.2. IEEE Journal on Selected Areas in Communications.

3.3. IEEE Communication Letters.

3.4. Computer Communications.

3.5. Journal of Systems and Software.

3.6. Applied Mathematical Modelling.

3.7. Journal of the Franklin Institute-Engineering and Applied Mathematics.

3.8. International Journal of Computers and Applications.

3.9. Network Security Journal.

 

部分文章

 
教学: 数学(研究生); 现代控制论(本科生); 计算机通信网络流量工程(研究生, 未确定)

以前教学

Some Publications

Refereed Papers in International Journals
  1. Ming Li and Wei Zhao, Reliably Identifying Traffic Abnormality Under DDOS Flood Attacks in Differentiated Services Environment Based on Traffic Constraint, Journal of Computer Science and Technology (J Comput Sci Technol, JCST), 2007.

  2. S. C. Lim, Ming Li, and L. P. Teo, Locally self-similar fractional oscillator processes, Fluctuation and Noise Letters (Fluc Noise Lett, FNL), 7 (2) June 2007, L169-L179.

  3. Ming Li, Modeling autocorrelation functions of long-range dependent teletraffic series based on optimal approximation in Hilbert space-a further study,  Applied Mathematical Modelling (Appl Math Model), 31 (3) Mar. 2007, 625-631.

  4. Ming Li, A method for requiring block size for spectrum measurement of ocean surface waves,  IEEE Transactions on Instrumentation and Measurement (IEEE T Instrum Meas), 55 (6) Dec. 2006, 2207-2215. 

  5. Ming Li and S. C. Lim, A rigorous derivation of power spectrum of fractional Gaussian noise, Fluctuation and Noise Letters (Fluc Noise Lett, FNL), 6 (4) Dec. 2006, C33-C36.

  6. Ming Li,  Experimental stability analysis of test system for doing fatigue test under random loading, Journal of Testing and Evaluation (J Test Eval), 34 (4) July  2006, 364-367.

  7. Ming Li, Change trend of averaged Hurst parameter of traffic under DDOS flood attacks, Computers & Security (Comput Secur), 25 (3) May 2006, 213-220.

  8. S. C. Lim and Ming Li, Generalized Cauchy process and its application to relaxation phenomena, Journal of Physics A: Mathematical and General (J. Phys. A: Math. Gen.),  39 (12) Mar.  2006, 2935-2951.

  9. Ming Li and S. C. Lim, Modeling network traffic using Cauchy correlation model with long-range dependence, Modern Physics Letters B (Mod Phys Lett B), 19 (17) 30 July 2005, 829-840.  

  10. Ming Li, An iteration method to adjusting random loading for a laboratory fatigue test,  International Journal of Fatigue (Int J Fatigue), 27 (7) July 2005, 783-789. 

  11. Ming Li, An optimal controller of an irregular wave maker,  Applied Mathematical Modelling (Appl Math Model), 29 (1)  Jan. 2005, 55-63.

  12. Ming Li, An approach to reliably identifying signs of DDOS flood attacks based on LRD traffic pattern recognition, Computers & Security (Comput Secur), 23 (7) Oct. 2004, 549-558.

  13. D. Y. Long, W. Jia, and Ming Li, Optimal synchronous coding, International Journal of Computer Mathematics (Int J Comput Math), 81 (8) Aug. 2004, 931-942. 

  14. Ming Li and C.-H. Chi, A correlation-based computational method for simulating long-range dependent data, Journal of the Franklin Institute (J Franklin I), 340 (6-7) Sep.-Nov. 2003, 503-514. 

  15. Ming Li, C.-H. Chi, W. Zhao, W. J. Jia, D. Y. Long, and et al, Decision analysis of statistically detecting distributed denial-of-service flooding attacks, International Journal of Information Technology and Decision Making (IJITDM), 2 (3) Sep. 2003, 397-405. 

  16. Ming Li, W. Zhao,  W. Jia, D. Y. Long, and C.-H. Chi., Modeling autocorrelation functions of self-similar teletraffic in communication networks based on optimal approximation in Hilbert space, Applied Mathematical Modelling (Appl Math Model), 27 (3) Mar. 2003, 155-168. 

  17. D. Y. Long, W. Jia, and Ming Li, Optimal prefix codes and Huffman codes, International Journal of Computer Mathematics (Int J Comput Math), 80 (6) June 2003, 727-742. 

  18. D. Y. Long, W. Jia, P. O. Au, and Ming Li, Improving Chinese storing text retrieval systems’ security via a novel maximal prefix coding, International Journal of Computer Processing of Oriental Languages (IJCPOL), 15 (4) Dec. 2002, 379-394. 

  19. Ming Li, W. Jia, and W. Zhao, Simulation of long-range dependent traffic and a tcp traffic simulator, Journal of Interconnection Networks (JOIN), 2 (3) Sep. 2001, 305-315. 

  20. Ming Li, W. Jia, and W. Zhao, Correlation form of timestamp increment sequences of self-similar traffic on ethernet, Electronics Letters (Electron Lett), 36 (19) Sep. 2000, 1168-1169. 

  21. Ming Li, Y.-S. Wu, B.-H. Xu, W. Jia, and W. Zhao, An on-line correction technique of random loading with a real-time signal processor for a laboratory fatigue test, Journal of Testing and Evaluation (J Test Eval), 28 (5) Sep. 2000, 409-414.

  22. Ming Li, B.-H. Xu, and Y.-S. Wu, An H2-optimal control of random loading for a laboratory fatigue test, Journal of Testing and Evaluation (J Test Eval), 26 (6) Nov. 1998, 619-625. 

Refereed Papers/Chapters in the International Book Series
  1. Ming Li, S. C. Lim, and Wei Zhao, Long-Range Dependent Network Traffic: A View from the Generalized Cauchy Processes,  in Progress in Applied Mathematical Modeling, edited by F. Yang, Nova Science Publishers, USA, to be published in 2008 1st Quarter.

  2. Ming Li, S. C. Lim, and Huamin Feng, Generating Traffic Time Series based on Generalized Cauchy Process, Eds., Shi, van Albada, Sloot, and Dongarra, Springer LNCS 4487, May 2007, 374-381.

  3. Ming Li, S. C. Lim, and Huamin Feng, A Novel Description of Multifractal Phenomenon of Network Traffic Based on Generalized Cauchy Process, Eds., Shi, van Albada, Sloot, and Dongarra, Springer LNCS 4489, May 2007, 1-9.

  4. Ming Li, S. C. Lim, B.-J. Hu, and Huamin Feng, Towards Describing Multi-Fractality of Traffic Using Local Hurst Function, Eds., Shi, van Albada, Sloot, and Dongarra, Springer LNCS 4488, May 2007, 1012-1020.

  5. Zheng-Hong Wu, Ming Li, and Huamin Feng, A Question Understanding Model Based on Knowledge Points for Chinese Question Answering Service in E-Learning, Eds., Shi, van Albada, Sloot, and Dongarra, Springer LNCS 4489, May 2007, 493-500.

  6. Ming Li and Huamin Feng, Chaotically masking traffic pattern to prevent traffic pattern analysis attacks for mission critical applications in computer communication networks, Eds., Jiao, L.; Wang, L.; Gao, X.; Liu, J.; Wu, F.: Springer LNCS 4222, Sep. 2006, 448-451. (13% acceptance rate)

  7. Ming Li, Shengquan Wang, and Wei Zhao, A real-time and reliable approach to detecting traffic variations at abnormally high and low rates, Eds., Yang, L.T.; Jin, H.; Ma, J.; Ungerer, T.: Springer LNCS 4158, Sep. 2006, 541-550.  (27% acceptance rate)

  8. Ming Li and Wei Zhao, A statistical model for detecting abnormality in static-priority scheduling networks with differentiated services, Eds., Hao, Y.; Liu, J.; Wang, Y.; Cheung, Y.-m.; Yin, H.; Jiao, L.; Ma, J.; Jiao, Y.-C.: Springer LNAI 3802, Dec. 2005, 267-272.  (18% acceptance rate)

  9. Ming Li, Derivations of error bound on recording traffic time series with long-range dependence, Eds., Huang, D.-S., Zhang, X.-P., Huang, G.-B.: Springer LNCS 3644, 23-26 Aug. 2005, 360-369.  (10% acceptance rate)

  10. Ming Li, J. G. Liu, and D. Y. Long, Probability principle of a reliable approach to detect signs of DDOS flood attacks, Eds., Liew, K.-M., Shen, H., See, S., Cai, W., Fan, P., Horiguchi, S.: Springer LNCS 3320, Dec. 2004, 569-572.

  11. Ming Li, C.-H. Chi, and D. Y. Long, Fractional Gaussian noise: a tool of characterizing traffic for detection purpose,  Eds., Chi, C.-H., Lam, K.-Y.: Springer LNCS 3309, Nov. 2004, 94-103.  (16% acceptance rate)

  12. Ming Li, Statistical error analysis on recording LRD traffic time series, Eds., Jin, H., Gao, G., Xu, Z., Chen, H.: Springer LNCS 3222, Oct. 2004, 403-406. (20% acceptance rate)

  13. Ming Li, J. G. Liu, and D. Y. Long, An empirical autocorrelation form for modeling LRD traffic series, Eds., Jin, H., Gao, G., Xu, Z., Chen, H.: Springer LNCS 3222, Oct. 2004, 399-402. (20% acceptance rate)

  14. C.-H. Chi, Ming Li, and D. X. Liu, A method to obtain signatures from Honeypots data, Eds., Jin, H., Gao, G., Xu, Z., Chen, H.: Springer LNCS 3222, Oct. 2004, 435-446.  (20% acceptance rate)

Refereed Papers in the Proceedings of International Conferences

  1. Zheng-Hong Wu, Yu-Jun Liu, Maiga Chang, Alex Chang, and Ming Li, Developing Personalized Knowledge Navigation Service for Students Self-Learning based on Interpretive Structural Modeling, Sixth IEEE International Conference on Advanced Learning Technologies (ICALT2006),  July 2006, 427-428, Netherlands.

  2. Yanbo Zhang and Ming Li, Fuzzy classification of DDoS flood attacks packets, Global Mobile Congress 2005, IEEE GMC’05, 10-12 Oct. 2005, Chongqing, 358-363. (16% acceptance rate)

  3. Meng Yao, Chun-Ni Dai, Ming Li, Zhu-Jie Xie, Chun-Hong Chen, A species compete-die out (SCD) algorithm model for improving the performances of evolutionary computation in greenhouse, The Fourth International Conference on Machine Learning and Cybernetics (IEEE ICMLC2005), 18-21 Aug. 2005, Guangzhou, China, 3357-3362.

  4. D. Liu, C.-H. Chi, and Ming Li, Normalizing traffic pattern with anonymity for mission critical applications, The 37th Annual Simulation Symposium, ANSS’04, IEEE Press, Hyatt Regency Crystal City, Arlington, Virginia, USA, April 18-22, 2004, 293-299.

  5. Ming Li and C.-H. Chi, Abstract analysis of detection probability for statistically detecting DDoS attacks, the 4th International Conference on Internet Computing (IC 2003), June 23-26, Monte Carlo Resort, Las Vegas, Nevada, USA, 2003.

  6. D. Y. Long, W. Jia, and Ming Li, On synchronous coding, The 2002 International Conference on Information Technology: Coding and Computing (ITCC 2002), April 8-10, Las Vegas, Nevada, USA, 2002, 390-395.

  7. Ming Li, W. Jia, and W. Zhao, A chaotic masking system of network traffic, IEEE ICII2001, vol. 3, 2001, 310-315, Beijing.

  8. Ming Li, W. Jia, and W. Zhao, Decision analysis of network-based intrusion detection systems for denial-of-service attacks, IEEE ICII2001, vol. 5, 2001, 1-6, Beijing.

  9. Ming Li, W. Jia, and W. Zhao, Correlation model of WWW-traffic data, The 7th Int. Conf. on Distributed Multimedia Systems (DMS 2001), Sep. 26-28, 2001, 338-343, Taiwan.

  10. Ming Li, W. Jia, Pui On Au, and Cheng Leung, Length requirements of recorded data of network traffic, IEEE ICII2001, vol. 2, 2001, 45-49, Beijing.

  11. Ming Li and W. Jia, White noise: a tool for synthesizing network traffic data, IEEE ICII2001, vol. 2, 2001, 50-54, Beijing.

  12. Ming Li, Control analysis of the wave generator in ocean engineering, 8th IEEE Int. Conf. on Mechatronics and Machine Vision in Practice (M2VIP 2001), Aug. 2001, Hong Kong, 173-175.

  13. Ming Li, W. Jia, and W. Zhao, Simulation of self-similar traffic and a tcp traffic simulator, 4th Int. Conf. on Algorithms & Architectures for Parallel Processing (ICA3PP 2000), Hong Kong, 11- 13 Dec. 2000, 73-84.

  14. Ming Li, W. Jia, and W. Zhao, A whole correlation structure of asymptotically self-similar traffic in communication networks, Conf. Proc., IEEE WISE'2000, 19-20 June 2000, Hong Kong, 461-466.

  15. Ming Li, W. Jia, and W. Zhao, A method for modeling autocorrelation functions of asymptotically lrd traffic and its verification, Conf. Proc., ICCT2000, 16th IFIP World Computer Congress, IEEE Press, 21-25 Aug. 2000, Beijing, China, 62-65.

  16. Ming Li, W. Jia, and W. Zhao, Numerical simulation of “Impulse” function of min-plus convolution, 2nd ACM PG Day, Oct. 1999.

  17. Ming Li, W. Jia, and W. Zhao, Analysis of pattern similarity between Choi-Williams kernel and Born-Jordan kernel, Proc. of IEEE icics99, Dec. 7-10, 1999, Singapore.

  18. Ming Li, Jie Xu, and Feng Shen, Analysis of pattern similarity between Bessel kernel and Born-Jordan kernel in TF distributions, IEEE Conf. Proc., 4th Asia-Pacific Conf. on Communications, 6th Singapore Int. Conf. on Communication Systems, (4th APCC/6th ICSS’98), 23-25 Nov. 1998, Singapore.

  19. Ming Li, B.-H. Xu, Y.-S. Wu, M.-X. Fan, and J.-X. Leng, Application of a real time signal processor to an on-line correction of a random loading in a fatigue test system, Proc., 23rd Workshop on Real Time Programming, IFAC/IFIP, Shantou, China, 23-25 June 1998, 111-116.

  20. Ming Li, Experimental research for processing of Choi-Williams distribution and Bessel distribution, IEEE Conf. Proc., 1st Int. Conf. on Information, Communication & Signal Processing, vol. 3, Singapore, Sep. 1997, 1593–1597.

  21. Ming Li, Four decomposition patterns for one image based on wavelet basis, IEEE Conf. Proc., 1st Int. Conf. on Information, Communication & Signal Processing, vol. 1, Singapore, Sep. 1997, 167–169.