姓名：朱二周
性别：男
出生年月：1981.06


导师类别：硕导
技术职称：副教授

联系方式：
ezzhu@ahu.edu.cn

招生专业名称
计算机科学与技术、软件工程

主要研究方向
程序分析

机器学习（程序安全）


个人简历
2016/12-至今，安徽大学，副教授；
2012/07-2015/12，安徽大学，讲师；
2008/09-2012/06，上海交通大学，研究生/博士

学术成果
学术论文
[1]Erzhou Zhu*, Yinyin Ju, Zhile Chen, Feng Liu, Xianyong Fang. DTOF-ANN: An Artificial Ne ural Network Phishing Detection Model Based on Decision Tree and Optimal Features. Applied Soft Computing, Vol.95, 2020, Article No. 106505. SCI-2
[2]朱二周*,孙悦,张远翔,高新,马汝辉, 李学俊.基于混合聚类算法和新聚类有效性指标的最佳类簇数确定方法.软件学报(已录用).
[3]Erzhou Zhu, Yinyin Ju, Dawei Liu, Yang Li, Dong Liu, Zhujuan Ma*. Effective Hierarchical Cluster Analysis Based on New Clustering Validity Index. Journal of Computers (Taiwan), 31(1), 2020, pp.119-133. EI-Index.
[4]Erzhou Zhu*, Meng Li, Feng Liu, Futian Wang*. TIMOM: a novel time influence multi-objective optimization cloud data storage model for business process management. ICA3PP 2019, CCF-C
[5]Erzhou Zhu*, Yuanxiang Zhang, Peng Wen, Feng Liu. Fast and Stable Clustering Analysis based on Grid-mapping K-means Algorithm and New Clustering Validity Index. Neurocomputing, Volume 363, 2019, pp.149-170. CCF-C, SCI-2.
[6]Erzhou Zhu, Yuyang Chen, Chengcheng Ye, Xuejun Li, Feng Liu*. OFS-NN: An Effective Phishing Websites Detection Model Based on Optimal Feature Selection and Neural Network. IEEE ACCESS, Vol.7, 2019, pp.73271-73284. SCI-2.
[7]Erzhou Zhu*, Peng Wen, Kanqi Ni, Ruhui Ma*. Implementation of an Effective Dynamic Concolic Execution Framework for Analyzing Binary Programs. Computers & Security, Vol. 86, 2019, pp.1-27. CCF-B, SCI-3.
[8]Erzhou Zhu, Zhujuan Ma*, Hui Sun, Feng Liu. The Implementation of a Secret Information Hiding Framework Based on Hash Function and Invisible ASCII Characters Replacement. Journal of Computers (Taiwan), 30 (3), 2019, pp.28-43. EI-Index
[9]Erzhou Zhu*, Ruhui Ma. An effective partitional clustering algorithm based on new clustering validity index. Applied Soft Computing, Vol.71, 2018, pp. 608-621. SCI-2
[10]Erzhou Zhu, Binbin Zhu, Peng Wen, Feng Liu, Xuejun Li, FutianWang*. Effective Clustering Analysis based on New Designed CVI and Improved Clustering Algorithms. ISPA 2018, CCF-C
[11]Erzhou Zhu, Dong Liu, Chengcheng Ye, Feng Liu, Xuejun Li, Hui Sun*. Effective phishing website detection based on improved BP neural network and dual feature evaluation. ISPA 2018, CCF-C
[12]Erzhou Zhu, Peng Wen, Binbin Zhu, Feng Liu, Futian Wang, Xuejun Li*. Effective Clustering Analysis Based on New Designed Clustering Validity Index and Revised K-means Algorithm for Big Data. ISPA 2018, CCF-C
[13]Erzhou Zhu, Chengcheng Ye, Dong Liu, Feng Liu, Futian Wang, Xuejun Li*. An Effective Neural Network Phishing Detection Model Based on Optimal Feature Selection. ISPA 2018, CCF-C
[14]Erzhou Zhu, Peng Li, Zhujuan Ma*, Xuejun Li, Feng Liu. Effective and Optimal Clustering Based on New Clustering Validity Index. CSCWD 2018, CCF-C
[15]Erzhou Zhu, Zeren Zhou, Zhujuan Ma, Xuejun Li*, Feng Liu. Secure and Efficient Collaborative Auction Scheme for Spectrum Resource Reallocation. CSCWD 2018, CCF-C
[16]Feng Liu, Pengpeng Luo, Zhujuan Ma, Cheng Zhang, Yiwen Zhang, Erzhou Zhu*. Security Secret Information Hiding Based on Hash Function and Invisible ASCII Characters Replacement. TrustCom 2016, CCF-C
[17]Erzhou Zhu, Feng Liu, Zuo Wang, Alei Liang, Yiwen Zhang, Xuejian Li, Xuejun Li*. Dytaint: The implementation of a novel lightweight 3-state dynamic taint analysis framework for x86 binary programs. Computers & Security, Volume 52, 2015, pp. 51-69. CCF-B, SCI-3
[18]Erzhou Zhu, Ruhui Ma*, Yang Hou, Yindong Yang, Feng Liu, Haibing Guan. Two-Phase Execution of Binary Applications on CPU/GPU Machines. Computers & Electrical Engineering, 40(5), July 2014, 1567-1579. SCI-4
[19]Ruhui Ma, Fanfu Zhou, Erzhou Zhu*, Haibing Guan. Performance Tuning Towards a KVM-based Embedded Real-time Virtualization System. Journal of Information Science and Engineering, 2013, 29(5), pp.1021-1035. SCI-4
[20]Haibing Guan, Erzhou Zhu*, Hongxi Wang, Ruhui Ma, Yindong Yang, Bin Wang. SINOF: A dynamic-static combined framework for dynamic binary translation. Journal of Systems Architecture-Embedded Systems Design, 2012, 58(8), pp.305-317. CCF-B, SCI-4
专利
[1]朱二周,马刚,刘锋,张静. 一种Android环境下钓鱼网站检测方法及其检测系统. 发明专利CNA，已授权2019.07.09.
[2]朱二周,周泽人,李学俊.基于动态二进制平台检测运行时程序漏洞的方法. 发明专利CNA，已授权2020.4.19.
[3]朱二周,高新,刘锋.一种基于改进K-means算法和新聚类有效性指标的聚类分析方法. 发明专利CNA，实审中.
已完成的科研项目
[1]移动云计算环境下软件跨平台运行与安全机制关键技术研究,国家自然科学基金青年项目, 主持.
[2]基于进程级虚拟机的移动平台程序分析关键技术研究,安徽省高等学校自然科学研究项目(重点), 主持.

获奖情况
无

在研项目
基于虚拟化与程序分析的Android平台程序安全与数据保护研究，安徽省自然科学基金(面上项目), 主持.