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(截止2022.06)
1) Dan Tang, Yudong Yan*, Siqi Zhang, Jingwen Chen, Zheng Qin. Performance and Features: Mitigating the Low-Rate TCP-targeted DoS Attack via SDN. IEEE Journal on Selected Areas in Communications, 2022, 40(1):428-444. (CCF-A类, SCI一区)
DOI: https://doi.org/10.1109/JSAC.2021.3126053
2) Dan Tang, Xiyin Wang, Xiong Li, Pandi Vijayakumar, and Neeraj Kumar*. AKN-FGD: Adaptive Kohonen Network based Fine-grained Detection of LDoS Attack. IEEE Transactions on Dependable and Secure Computing, 2021, ( Early Access ). (CCF-A类, SCI二区)
DOI: https://doi.org/10.1109/TDSC.2021.3131531
3) Dan Tang, Siqi Zhang *, Yudong Yan, Jing-Wen Chen, Zheng Qin. Real-time Detection and Mitigation of LDoS Attacks in the SDN Using the HGB-FP Algorithm. IEEE Transactions on Services Computing,2021, ( Early Access ). (CCF-B类, SCI二区)
DOI: https://doi.org/10.1109/TSC.2021.3102046
4) Dan Tang, Ye Feng*, Siqi Zhang, Zheng Qin. FR-RED: Fractal Residual based Real-time Detection of the LDoS Attack. IEEE Transactions on Reliability. 2021, 70 (3), 1143-1157. (SCI三区)
DOI: https://doi.org/10.1109/TR.2020.3023257
5) Dan Tang, Siqi Zhang*, Xi-Yin Wang, Jing-Wen Chen. The Detection of Low-rate DoS Attack Using SADBSCAN Algorithm. Information Sciences, 2021, vol 565, 229-247. (CCF-B类, SCI二区)
DOI: https://doi.org/10.1016/j.ins.2021.02.038
6) Dan Tang, Liu Tang, Rui Dai, Jingwen Chen, Xiong Li, Joel J.-P. C. Rodrigues*. MF-Adaboost: LDoS attack detection based on multi-features and improved Adaboost. Future Generation Computer Systems. 2020, vol 106, 347-359. (CCF-C类, SCI二区)
DOI: http://dx.doi.org/10.1016/j.future.2019.12.034
7) Dan Tang, Jingwen Chen∗, Xiyin Wang, Siqi Zhang, Yudong Yan. A New Detection Method for LDoS Attacks based on Data Mining. Future Generation Computer Systems, 2022, vol 128, 73-87. (CCF-C类, SCI二区)
DOI: https://doi.org/10.1016/j.future.2021.09.039
8) Dan Tang, Jianping Man*, Liu Tang, Ye Feng, Qiuwei Yang. WEDMS: An Advanced Mean Shift Clustering Algorithm for LDoS Attacks Detection. Ad Hoc Networks, 2020, vol 102, 102145. (CCF-C类, SCI二区)
DOI: https://doi.org/10.1016/j.adhoc.2020.102145
9) Wei Shi*, Dan Tang, Sijia Zhan, Zheng Qin, Xiyin Wang. An approach for detecting LDoS attack based on cloud model. Frontiers of Computer Science, 2022, vol 16, 166821. (CCF-C类, SCI二区)
DOI: https://doi.org/10.1007/s11704-022-0486-1
1)Dan Tang, Yudong Yan*, Siqi Zhang, Jingwen Chen, Zheng Qin. Performance and Features: Mitigating the Low-Rate TCP-targeted DoS Attack via SDN. IEEE Journal on Selected Areas in Communications, 2022, 40(1):428-444. (CCF-A类, SCI一区)
DOI: https://doi.org/10.1109/JSAC.2021.3126053
2)Dan Tang, Jingwen Chen∗, Xiyin Wang, Siqi Zhang, Yudong Yan. A New Detection Method for LDoS Attacks based on Data Mining. Future Generation Computer Systems, 2022, vol 128, 73-87. (CCF-C类, SCI二区)
DOI: https://doi.org/10.1016/j.future.2021.09.039
3)Wei Shi*, Dan Tang, Sijia Zhan, Zheng Qin, Xiyin Wang. An approach for detecting LDoS attack based on cloud model. Frontiers of Computer Science, 2022, vol 16, 166821. (CCF-C类, SCI二区)
DOI: https://doi.org/10.1007/s11704-022-0486-1
4)Dan Tang, Xiyin Wang, Yudong Yan, Dongshuo Zhang, Huan Zhao. ADMS: An online attack detection and mitigation system for LDoS attacks via SDN, Computer Communications, 2022, 181:454-471. (CCF-C类, SCI三区)
DOI: https://doi.org/10.1016/j.comcom.2021.10.007
1) Dan Tang, Xiyin Wang, Xiong Li, Pandi Vijayakumar, and Neeraj Kumar*. AKN-FGD: Adaptive Kohonen Network based Fine-grained Detection of LDoS Attack. IEEE Transactions on Dependable and Secure Computing, 2021, ( Early Access ). (CCF-A类, SCI二区)
DOI: https://doi.org/10.1109/TDSC.2021.3131531
2) Dan Tang, Siqi Zhang *, Yudong Yan, Jing-Wen Chen, Zheng Qin. Real-time Detection and Mitigation of LDoS Attacks in the SDN Using the HGB-FP Algorithm. IEEE Transactions on Services Computing. 2021, ( Early Access ). (CCF-B类, SCI二区)
DOI: https://doi.org/10.1109/TSC.2021.3102046
3) Dan Tang, Siqi Zhang*, Xi-Yin Wang, Jing-Wen Chen. The Detection of Low-rate DoS Attack Using SADBSCAN Algorithm. Information Sciences, 2021, vol 565, 229-247. (CCF-B类, SCI二区)
DOI: https://doi.org/10.1016/j.ins.2021.02.038.
4) Dan Tang, Ye Feng*, Siqi Zhang, Zheng Qin. FR-RED: Fractal Residual based Real-time Detection of the LDoS Attack. IEEE Transactions on Reliability. 2021, 70 (3), 1143-1157. (SCI三区)
DOI: https://doi.org/10.1109/TR.2020.3023257
5)Dan Tang , Liu Tang* , Wei Shi , Sijia Zhan , Qiuwei Yang. MF-CNN: A New Approach for LDoS Attack Detection Based on Multi-feature Fusion and CNN. Mobile Networks and Applications, 2021, 26(4):1705-1722. (CCF-C类, SCI三区)
DOI: https://doi.org/10.1007/s11036-019-01506-1
6)Dan Tang, Dongshuo Zhang*, Huan Zhao, Dashun Liu, Yudong Yan, Jingwen Chen. Network Attack Detection Towards Smart Factory. The 27th IEEE Real-Time and Embedded Technology and Applications Symposium(RTAS 2021), 2021: 485-488. (CCF-B会)
DOI: https://doi.org/10.1109/RTAS52030.2021.00058
7)Siyuan Wang, Dan Tang*, Yu Liu, Rui Dai, Jingwen Chen. LDoS Attack Detection Using PSO and K-means Algorithm. International Conference on Computer Supported Cooperative Work in Design(CSCWD 2021), 2021, 317-322. (CCF-C会)
DOI: https://doi.org/10.1109/CSCWD49262.2021.9437702
8)Xinmeng Li, Kai Zheng, Dan Tang*, Zheng Qin, Zhiqing Zheng , Shihan Zhang . LDoS Attack Detection Based on ASNNC-OFA Algorithm. The 2021 IEEE Wireless Communications and Networking Conference(WCNC 2021), 2021, 1-6. (CCF-C会)
DOI: https://doi.org/10.1109/WCNC49053.2021.9417400
9)Boru Liu, Dan Tang*, Yudong Yan, Zhiqing Zheng, Shihan Zhang, Jiangmeng Zhou. TS-SVM: Detect LDoS Attack in SDN Based on Two-step Self-adjusting SVM. The 20th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom 2021), 2021: 678-685.(CCF-C会)
DOI:https://doi.org/10.1109/TrustCom53373.2021.00100
10)Xinmeng Li, Nengguang Luo, Dan Tang*, Zhiqing Zheng, Zheng Qin and Xinxiang Gao.BA-BNN: Detect LDoS Attacks in SDN Based on Bat Algorithm and BP Neural Network. The 19th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA 2021), 2021, 300-307. (CCF-C会)
DOI:https://doi.org/10.1109/ISPA-BDCloud-SocialCom-SustainCom52081.2021.00050
1)Dan Tang, Liu Tang, Rui Dai, Jingwen Chen, Xiong Li, Joel J.-P. C. Rodrigues*. MF-Adaboost: LDoS attack detection based on multi-features and improved Adaboost. Future Generation Computer Systems. 2020, vol 106, 347-359. (CCF-C类, SCI二区)
DOI: http://dx.doi.org/10.1016/j.future.2019.12.034
2)Dan Tang, Jianping Man*, Liu Tang, Ye Feng, Qiuwei Yang. WEDMS: An Advanced Mean Shift Clustering Algorithm for LDoS Attacks Detection. Ad Hoc Networks, 2020, vol 102, 102145.(CCF-C类, SCI二区)
DOI: https://doi.org/10.1016/j.adhoc.2020.102145
3)Dan Tang, Rui Dai*, Liu Tang, XiongLi. Low-rate DoS attack detection based on two-step cluster analysis and UTR analysis. Human-centric Computing and Information Sciences, 2020, 10(1):6.(SCI 三区)
DOI: https://doi.org/10.1186/s13673-020-0210-9
4)Sijia Zhan, Dan Tang*, Jianping Man, Rui Dai, Xiyin Wang. Low-Rate DoS Attacks Detection Based on MAF-ADM. Sensors, 2020, 20(1), 189. (SCI三区)
DOI: https://doi.org/10.3390/s20010189
5)Zhiqing Zheng, Dan Tang*, Siyuan Wang, Xiaoxue Wu, Jingwen Chen. An Efficient Detection Approach for LDoS attack based on NCS-SVM Algorithm. The 29th International Conference on Computer Communications and Networks(ICCCN 2020), 2020, pp. 1-9. (CCF-C类)
DOI: https://doi.org/10.1109/ICCCN49398.2020.9209699.
6)Xiaocai Wang, Qiuwei Yang, Zichao Xie, Zhiqing Zheng, Yudong Yan, Dan Tang*. Low-rate DoS Attack Detection Based on WPD-EE Algorithm. The 18th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA 2020), 2020; 384-391. (CCF-C类)
DOI: https://doi.org/10.1109/ISPA-BDCloud-SocialCom-ustainCom51426.2020.00074
1)Dongshuo Zhang, Dan Tang*, Liu Tang , Rui Dai, Jingwen Chen, Ningbo Zhu. PCA-SVM-Based Approach of Detecting Low-Rate DoS Attack. In 2019 IEEE 21st International Conference on High Performance Computing and Communications (HPCC). IEEE, 2019: 1163-1170. (CCF-C会)
DOI: https://doi.org/10.1109/HPCC/SmartCity/DSS.2019.00164
2)Yudong Yan, Dan Tang*, Sijia Zhan, Rui Dai, Jingwen Chen. Low-Rate DoS Attack Detection Based on Improved Logistic Regression. In IEEE 21st International Conference on High Performance Computing and Communications(HPCC)2019: 468-476. (CCF-C会)
DOI: https://doi.org/10.1109/HPCC/SmartCity/DSS.2019.00076
3)Dan Tang, Rui Dai*, Liu Tang, Sijia Zhan, and Jianping Man. Low-Rate DoS Attack Detection Based on Two-Step Cluster Analysis. In International Conference on Information and Communications Security(ICICS), 2018; 92-104. (CCF -C会)
DOI:https://doi.org/10.1007/978-3-030-01950-1_6
4)Xiaoxue Wu, Dan Tang*, Liu Tang, Jianping Man, Sijia Zhan and Qin Liu. A Low-Rate DoS Attack Detection Method Based on Hilbert Spectrum and Correlation. In 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), 2018; 1358-1363. (CCF -C会)
DOI: https://doi.org/10.1109/SmartWorld.2018.00236
1)Dan Tang, Jianping Man*, Ye Feng, Wei Shi, Siqi Zhang, Zheng Qin. MFOPA-Based Detection of Low-Rate DoS Attacks. Mobile Networks & Applications, under review. (CCF-C类, SCI三区)
2)Dan Tang, Jingwen Chen*, Siqi Zhang, Xiyin Wang. LDoS Attack Detection Model Based on KMFCM Algorithm. Journal of Systems and Software, under review. (CCF-B类, SCI三区)
3)Tang D, Wang Xiyin*, Li Xiong, Vijayakumar P, Kumar, Neeraj. AdaKcn: An Efficient Scheme for LDoS Attack Detection in Heterogeneous Networks. IEEE Transactions on Network Science and Engineering, under review.
4)Dan Tang, Wei Shi*, Ye Feng, Jingwen Chen, Zheng Qin. MC-HSF:Low-Rate DoS Attacks Detection using Half-Space Forest Algorithm Based on Mel Cepstrum. Journal of Network and Computer Applications, under review. (CCF-B类, SCI二区)
5)Dan Tang, Ye Feng*, Sijia Zhan and Xiyin Wang. An Approach for Detecting LDoS Attack based on Cloud Model. IEEE Transactions on Network and Service Management, under review.(CCF-B类, SCI二区)
6)Dan Tang, Xiyin Wang*. ADMS:An Online Attack Detection and Mitigation System for LDoS Attacks on SDN Controllers. IEEE Conference on Computer Communications.(CCF-A类)
7)Dan Tang, Siqi Zhang*. Real-time Detection and Mitigation of LDoS Attacks in SDN Using HGB-FP Algorithm. IEEE Transactions on Services Computing, under review.(SCI二区)
8)Dan Tang, Jingwen Chen*. Online Anomaly Detection and Mitigation Model for LDoS Attacks in Software-Defined Networking. IEEE Transactions on Network and Service Management, under review. (SCI二区)
9)Dan Tang, Yudong Yan*. Performance and Features: Lightweight SDN Framework for LDoS Attack Detection and Defense. IEEE Conference on Computer Communications.(CCF-A类)
10)Dan Tang, Rui Dai*. A Novel LDoS attack Detection Method Based on Reconstruction Anormaly. International Conference on Dependable Systems and Networks, under review. (CCF-B类)
11)Dan Tang, Xiyin Wang*. ShrewGuard: Real-time Detection and Mitigation System of LDoS Attacks in SDN. Future Generation Computer Systems, under review. (CCF-B类).
(截止2022.06)
1)汤澹; 代锐; 唐柳等, 一种基于两步聚类和检测片分析联合算法的LDoS检测方法, 授权公告日:2020年10月27日, 中国, ZL201810820413.2.
2)汤澹; 满坚平; 代锐等, 一种基于WEDMS聚类的慢速拒绝服务攻击检测方法, 授权公告日:2021年06月01日, 中国, ZL201910004190.7.
3)汤澹; 满坚平; 代锐等, 一种基于MFOPA算法的慢速拒绝服务攻击检测方法, 授权公告日:2021年07月27日, 中国, ZL202010406379.1.
4)汤澹; 冯叶; 张斯琦等, 一种基于分形残差的LDoS攻击实时检测方法, 授权公告日:2021年07月27日, 中国, ZL202010183854.3.
5)汤澹; 严裕东; 王曦茵等, 一种基于P-F的软件定义网络慢速拒绝服务攻击检测方法, 授权公告日:2021年07月27日, 中国, ZL202011068857.9.
6)汤澹; 王思苑; 刘宇等, 一种基于PSO-K算法的LDoS攻击检测方法, 授权公告日:2022年01月25日, 中国, ZL202011022723.3.
7)汤澹; 张冬朔; 代锐等, 一种基于频域特征融合的LDoS攻击检测方法, 授权公告日:2022年02月01日, 中国, ZL202110120506.6.
8)汤澹; 陈静文; 王曦茵等, SDN中基于ET-EDR的LDoS攻击检测与缓解方法, 授权公告日:2022年03月01日, 中国, ZL202110130818.5.
9)汤澹; 张冬朔; 王曦茵等, 基于RF-GMM的SDN中LDoS攻击检测方法, 授权公告日:2022年03月01日, 中国, ZL202110130841.4.
10)汤澹; 张斯琦; 陈静文等, 基于集成学习和寻峰算法的LDoS攻击检测与缓解方法, 授权公告日:2022年05月13日, 中国, ZL202110130808.1.
11)汤澹; 王曦茵; 张斯琦等, SDN中基于FGD-FM的LDoS攻击检测与缓解方法, 授权公告日:2022年05月13日, 中国, ZL202110129267.0.
12)汤澹; 张斯琦; 王曦茵等, 基于流量系数的低速DoS攻击实时响应方法, 办理登记手续, 中国, ZL202111323570.0.
1) 汤澹; 陈夏润; 张聪聪等,一种基于AEWMA算法的慢速拒绝服务攻击检测方法,中国, CN201710196791.3,实审中。
2) 汤澹; 冯叶; 詹思佳等, 一种基于流量频数分布特征的LDoS快速检测方法, 2018-7-24, 中国, CN201810818118.3,实审中。
3) 汤澹; 施玮; 满坚平等, 一种针对慢速拒绝服务攻击的综合检测方法, 2018-7-24, 中国, CN201810820673.X,实审中。
4) 汤澹; 詹思佳; 施玮等, 一种基于云模型的低速拒绝服务攻击检测方法, 2019-1-3, 中国, CN201910004346.1,实审中。
5) 汤澹; 唐柳; 冯叶等, 一种基于多特征融合和CNN算法的LDoS攻击检测方法, 2019-1-3, 中国, CN201910004666.7,实审中。
6) 汤澹; 郑凯; 罗能光等, 一种基于SNN-LOF算法的慢速拒绝服务攻击检测方法, 2019-1-3, 中国, CN201910004189.4,实审中。
7) 汤澹; 陈静文; 施玮等, 一种基于FCM算法的慢速拒绝服务攻击检测方法, 2019-9-26, 中国, CN201910914381.7,实审中。
8) 汤澹; 张斯琦; 代锐等, 一种基于SA-DBSCAN算法的低速率拒绝服务攻击检测方法, 2019-9-26, 中国, CN201910920919.5,实审中。
9) 汤澹; 严裕东; 冯叶等, 一种基于LR算法的慢速拒绝服务攻击检测方法, 2019-9-27, 中国, CN201910920763.0,实审中。
10) 汤澹; 张冬朔; 代锐等, 一种基于PCA-SVM算法的慢速拒绝服务攻击检测方法, 2019-9-27, 中国, CN201910920902.X,实审中。
11) 汤澹; 陈藜文; 施玮等, 一种基于Elman神经网络的低速率拒绝服务攻击检测方法, 2019-9-27, 中国, CN201910920718.5,实审中。
12) 汤澹; 施玮; 王曦茵等, 一种基于梅尔倒谱与半空间森林结合的LDoS攻击检测方法, 2020-3-16, 中国, CN202010183134.7,实审中。
13) 汤澹; 王曦茵; 冯叶等, 一种基于AKN算法的慢速拒绝服务攻击检测方法, 2020-3-18, 中国, CN202010190244.6,实审中。
14) 冯叶; 詹思佳; 汤澹等, 一种基于MAF-ADM的低速率拒绝服务攻击检测方法, 2020-5-14, 中国, CN202010406757.6,实审中。
15) 施玮; 唐柳; 汤澹等, 一种基于MF-Ada算法的LDoS攻击检测方法, 2020-5-14, 中国, CN202010406743.4,实审中。
16) 汤澹; 郑芷青; 严裕东等, 一种基于NCS-SVM的LDoS攻击检测方法, 2020-9-24, 中国, CN202011015908.1,实审中。
17) 汤澹; 张斯琦; 代锐等, 一种基于TC-UTR算法的慢速拒绝服务攻击检测方法, 2020-9-28, 中国, CN202011054835.7,实审中。
18) 汤澹; 严裕东; 冯叶等, 一种基于FSWT时频分布的LDoS攻击检测方法, 2021-1-28, 中国, CN202110119625.X,实审中。
19) 汤澹; 王曦茵; 施玮等, 一种基于SDN控制器的LDoS攻击检测与缓解方案, 2021-1-28, 中国, CN202110121874.2,实审中。
20) 汤澹; 陈静文; 吴小雪等, 一种基于HSS算法的慢速拒绝服务攻击检测方法, 2021-1-29, 中国, CN202110129487.3,实审中。
21) 汤澹; 李欣萌; 王思苑等, 一种基于BA-BNN算法的LDoS攻击检测方法, 2021-7-16, 中国, CN202110809191.6,实审中。
22) 汤澹; 刘泊儒; 郑芷青等, 基于两步自调节支持向量机的LDoS攻击检测方法, 2021-7-16, 中国, CN202110809194.X,实审中。
1)汤澹,张冬朔,唐柳等,基于PCA-SVM算法的网络攻击检测系统,登记号:2019SR0989748。
2)汤澹,张斯琦,王曦茵等,基于DBSCAN算法的网络攻击检测系统,登记号:2019SR0989741。
3)汤澹,陈藜文,王曦茵等,基于Elman神经网络的网络攻击检测系统,登记号:2019SR0990036。
4)汤澹,陈静文,王曦茵等,基于改进FCM算法的网络攻击检测系统,登记号:2019SR0981700。
5)汤澹, 严裕东,詹思佳等,基于改进逻辑回归的网络攻击检测系统,登记号:2019SR0778126。
6)汤澹,唐柳,詹思佳等,基于Adaboost算法的网络攻击检测系统,登记号:2019SR0778120。
7)汤澹,王曦茵,张斯琦等,基于优化KN和MMD聚类算法的网络攻击检测系统,登记号:2019SR0778115。
8)汤澹,满坚平,詹思佳等,基于WEDMS聚类算法的网络流量监测系统,登记号:2019SR0223483。
9)汤澹,郑凯,唐柳等,基于SNN密度聚类的网络攻击检测系统,登记号:2019SR0223483。
10)汤澹,詹思佳,郑凯等,基于云模型的网络攻击检测系统,登记号:2019SR0223359。
11)汤澹,代锐,冯叶等,基于两步聚类分析和UTR分析的攻击检测系统,登记号:2019SR0223350。
12)汤澹,吴小雪,陈静文等,基于HHT和Pearson相关的攻击检测系统,登记号:2019SR0223359。
13)汤澹,林国龙,赖明曦等,基于自动语音识别的监控视频筛选系统,登记号:2019SR0218850。
14)汤澹,冯叶,施玮等,基于卡尔曼滤波的网络攻击检测系统,登记号:2019SR0360123。
15)汤澹,施玮,代锐等,基于Kernel算法的攻击流量分析系统,登记号:2019SR0360110。
16)汤澹,唐柳,陈静文等,基于深度学习CNN网络的攻击检测系统,登记号:2019SR0369699。
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