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Publication search results
found 24 matches
- 2023
- Jie Cao, Yuwei Xu, Qiao Xiang:
$\mathcal{L}{-}$ ETC: A Lightweight Model Based on Key Bytes Selection for Encrypted Traffic Classification. ICC 2023: 2370-2375 - 2022
- Xi Xiao, Wentao Xiao, Rui Li, Xiapu Luo, Haitao Zheng, Shutao Xia:
EBSNN: Extended Byte Segment Neural Network for Network Traffic Classification. IEEE Trans. Dependable Secur. Comput. 19(5): 3521-3538 (2022) - 2021
- Pan Wang, Zixuan Wang, Feng Ye, Xuejiao Chen:
ByteSGAN: A semi-supervised Generative Adversarial Network for encrypted traffic classification in SDN Edge Gateway. Comput. Networks 200: 108535 (2021) - Lin Yan, Mingyong Zeng, Shuai Ren, Zhangkai Luo:
Encrypted Traffic Categorization Based on Flow Byte Sequence Convolution Aggregation Network. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 104-A(7): 996-999 (2021) - Ludovic Barman, Alexandre Dumur, Apostolos Pyrgelis, Jean-Pierre Hubaux:
Every Byte Matters: Traffic Analysis of Bluetooth Wearable Devices. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(2): 54:1-54:45 (2021) - Fuhao Li, Feng Ye:
Simplifying Data Traffic Classification with Byte Importance Distillation. ICC 2021: 1-6 - Luming Yang, Shaojing Fu, Yongjun Wang, Chao Li, Shanghuai Feng, Yuchuan Luo, Lin Liu:
Packet-Sequence and Byte-Distribution is Enough for Real-Time Identification of Application Traffic. ISPA/BDCloud/SocialCom/SustainCom 2021: 1126-1134 - Kelong Mao, Xi Xiao, Guangwu Hu, Xiapu Luo, Bin Zhang, Shutao Xia:
Byte-Label Joint Attention Learning for Packet-grained Network Traffic Classification. IWQoS 2021: 1-10 - Pan Wang, Zixuan Wang, Feng Ye, Xuejiao Chen:
ByteSGAN: A Semi-supervised Generative Adversarial Network for Encrypted Traffic Classification of SDN Edge Gateway in Green Communication Network. CoRR abs/2103.05250 (2021) - Ludovic Barman, Alexandre Dumur, Apostolos Pyrgelis, Jean-Pierre Hubaux:
Every Byte Matters: Traffic Analysis of Bluetooth Wearable Devices. CoRR abs/2105.11172 (2021) - 2020
- Ingyom Kim, Tai-Myoung Chung:
Malicious-Traffic Classification Using Deep Learning with Packet Bytes and Arrival Time. FDSE 2020: 345-356 - 2018
- Tianxiang Huang, Jianying Zhou, Andrei Bytes:
ATG: An Attack Traffic Generation Tool for Security Testing of In-vehicle CAN Bus. ARES 2018: 32:1-32:6 - Yuxi Xie, Hanbo Deng, Lizhi Peng, Zhenxiang Chen:
Accurate Identification of Internet Video Traffic Using Byte Code Distribution Features. ICA3PP (1) 2018: 46-58 - Rui Li, Xi Xiao, Shiguang Ni, Haitao Zheng, Shutao Xia:
Byte Segment Neural Network for Network Traffic Classification. IWQoS 2018: 1-10 - Jitto Joseph, Ron Ruhl, Hamman Samuel:
Reducing Traffic Congestion for Machine to Machine Type Communication Over 4G-LTE Network by Decreasing Total Bytes Transmitted. TrustCom/BigDataSE 2018: 1720-1721 - 2016
- Jordan Frécon, Romain Fontugne, Gustavo Didier, Nelly Pustelnik, Kensuke Fukuda, Patrice Abry:
Non-linear regression for bivariate self-similarity identification - application to anomaly detection in Internet traffic based on a joint scaling analysis of packet and byte counts. ICASSP 2016: 4184-4188 - Wataru Yokota, Kenji Ichijo, Akiko Narita:
Evaluation of the Redundant Traffic Reduction Node Using the Packet Cache Coping with Different Byte Offsets among Streams. NaNA 2016: 227-232 - 2015
- Giuseppe Ateniese, Briland Hitaj, Luigi Vincenzo Mancini, Nino Vincenzo Verde, Antonio Villani:
No Place to Hide that Bytes Won't Reveal: Sniffing Location-Based Encrypted Traffic to Track a User's Position. NSS 2015: 46-59 - Giuseppe Ateniese, Briland Hitaj, Luigi V. Mancini, Nino Vincenzo Verde, Antonio Villani:
No Place to Hide that Bytes won't Reveal: Sniffing Location-Based Encrypted Traffic to Track User Position. CoRR abs/1505.07774 (2015) - 2008
- Haitao He, Chunhui Che, FeiTeng Ma, Xiaonan Luo, Jianmin Wang:
Improve Flow Accuracy and Byte Accuracy in Network Traffic Classification. ICIC (2) 2008: 449-458 - 2007
- Jeffrey Erman, Anirban Mahanti, Martin F. Arlitt:
Byte me: a case for byte accuracy in traffic classification. MineNet 2007: 35-38 - 2003
- Do-Woo Kim, Min-Soo Jung:
An Efficient Optimization Algorithm of Java Bytecode to Reduce Network Traffic. ICCSA (2) 2003: 542-551 - Matthew V. Mahoney:
Network Traffic Anomaly Detection Based on Packet Bytes. SAC 2003: 346-350 - 2001
- Rick E. Isom:
An Analysis of High DIST Started Task CPU Usage and Byte Traffic by Remote Users in a Large DB2 Version 6 OS/390 Data Warehouse Environment. Int. CMG Conference 2001: 305-314
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