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Publication search results
found 277 matches
- 2024
- Zhenguo Hu, Hirokazu Hasegawa, Yukiko Yamaguchi, Hajime Shimada:
Enhancing Detection of Malicious Traffic Through FPGA-Based Frequency Transformation and Machine Learning. IEEE Access 12: 2648-2659 (2024) - Saihua Cai, Han Xu, Mingjie Liu, Zhilin Chen, Guofeng Zhang:
A malicious network traffic detection model based on bidirectional temporal convolutional network with multi-head self-attention mechanism. Comput. Secur. 136: 103580 (2024) - Furqan Rustam, Anca Delia Jurcut:
Malicious traffic detection in multi-environment networks using novel S-DATE and PSO-D-SEM approaches. Comput. Secur. 136: 103564 (2024) - Qingjun Yuan, Gaopeng Gou, Yuefei Zhu, Yongjuan Wang:
MMCo: using multimodal deep learning to detect malicious traffic with noisy labels. Frontiers Comput. Sci. 18(1): 181809 (2024) - Sepideh Niktabe, Arash Habibi Lashkari, Dilli Prasad Sharma:
Detection, characterization, and profiling DoH Malicious traffic using statistical pattern recognition. Int. J. Inf. Sec. 23(2): 1293-1316 (2024) - Shizhou Zhu, Xiaolong Xu, Juan Zhao, Fu Xiao:
LKD-STNN: A Lightweight Malicious Traffic Detection Method for Internet of Things Based on Knowledge Distillation. IEEE Internet Things J. 11(4): 6438-6453 (2024) - ZengRi Zeng, Peng Xun, Wei Peng, Baokang Zhao:
Toward identifying malicious encrypted traffic with a causality detection system. J. Inf. Secur. Appl. 80: 103644 (2024) - Yantian Luo, Xu Chen, Hancun Sun, Xiangling Li, Ning Ge, Wei Feng, Jianhua Lu:
Securing 5G/6G IoT Using Transformer and Personalized Federated Learning: An Access-Side Distributed Malicious Traffic Detection Framework. IEEE Open J. Commun. Soc. 5: 1325-1339 (2024) - Sepideh Niktabe, Arash Habibi Lashkari, Arousha Haghighian Roudsari:
Unveiling DoH tunnel: Toward generating a balanced DoH encrypted traffic dataset and profiling malicious behavior using inherently interpretable machine learning. Peer Peer Netw. Appl. 17(1): 507-531 (2024) - Qingjun Yuan, Gaopeng Gou, Yanbei Zhu, Yuefei Zhu, Gang Xiong, Yongjuan Wang:
MCRe: A Unified Framework for Handling Malicious Traffic With Noise Labels Based on Multidimensional Constraint Representation. IEEE Trans. Inf. Forensics Secur. 19: 133-147 (2024) - Qing Guo, Wenchuan Yang, Baojiang Cui:
Graph-Based Detection of Encrypted Malicious Traffic with Spatio-Temporal Features. EIDWT 2024: 75-86 - Zihao Wang, Kar-Wai Fok, Vrizlynn L. L. Thing:
Exploring Emerging Trends in 5G Malicious Traffic Analysis and Incremental Learning Intrusion Detection Strategies. CoRR abs/2402.14353 (2024) - João Romeiras Amado, Francisco Pereira, David Pissarra, Salvatore Signorello, Miguel Correia, Fernando M. V. Ramos:
Peregrine: ML-based Malicious Traffic Detection for Terabit Networks. CoRR abs/2403.18788 (2024) - 2023
- Zhenguo Hu, Hirokazu Hasegawa, Yukiko Yamaguchi, Hajime Shimada:
Realtime Malicious Traffic Detection Targeted for TCP Out-of-Order Packets Based on FPGA. IEEE Access 11: 112212-112222 (2023) - Xianchun Zheng, Hui Li:
Identification of Malicious Encrypted Traffic Through Feature Fusion. IEEE Access 11: 80072-80080 (2023) - Luming Yang, Shaojing Fu, Yongjun Wang, Kaitai Liang, Fan Mo, Bo Liu:
DEV-ETA: An Interpretable Detection Framework for Encrypted Malicious Traffic. Comput. J. 66(5): 1213-1227 (2023) - Marta Moure-Garrido, Celeste Campo, Carlos García-Rubio:
Real time detection of malicious DoH traffic using statistical analysis. Comput. Networks 234: 109910 (2023) - Adrián Campazas Vega, Ignacio Samuel Crespo-Martínez, Ángel Manuel Guerrero Higueras, Claudia Álvarez-Aparicio, Vicente Matellán, Camino Fernández Llamas:
Analyzing the influence of the sampling rate in the detection of malicious traffic on flow data. Comput. Networks 235: 109951 (2023) - Peishuai Sun, Shuhao Li, Jiang Xie, Hongbo Xu, Zhenyu Cheng, Rong Yang:
GPMT: Generating practical malicious traffic based on adversarial attacks with little prior knowledge. Comput. Secur. 130: 103257 (2023) - Zihao Wang, Vrizlynn L. L. Thing:
Feature mining for encrypted malicious traffic detection with deep learning and other machine learning algorithms. Comput. Secur. 128: 103143 (2023) - Qingjun Yuan, Chang Liu, Wentao Yu, Yuefei Zhu, Gang Xiong, Yongjuan Wang, Gaopeng Gou:
BoAu: Malicious traffic detection with noise labels based on boundary augmentation. Comput. Secur. 131: 103300 (2023) - Zhaolei Shi, Nurbol Luktarhan, Yangyang Song, Huixin Yin:
TSFN: A Novel Malicious Traffic Classification Method Using BERT and LSTM. Entropy 25(5): 821 (2023) - Thin Tharaphe Thein, Yoshiaki Shiraishi, Masakatu Morii:
Few-Shot Learning-Based Malicious IoT Traffic Detection with Prototypical Graph Neural Networks. IEICE Trans. Inf. Syst. 106(9): 1480-1489 (2023) - Yueping Hong, Qi Li, Yanqing Yang, Meng Shen:
Graph based encrypted malicious traffic detection with hybrid analysis of multi-view features. Inf. Sci. 644: 119229 (2023) - Nan Wei, Lihua Yin, Xiaoming Zhou, Chuhong Ruan, Yibo Wei, Xi Luo, Youyi Chang, Zhao Li:
A feature enhancement-based model for the malicious traffic detection with small-scale imbalanced dataset. Inf. Sci. 647: 119512 (2023) - Bolun Wu, Futai Zou, Chengwei Zhang, Tangda Yu, Yun Li:
Multi-field relation mining for malicious HTTP traffic detection based on attention and cross network. J. Inf. Secur. Appl. 73: 103411 (2023) - Yan Zhou, Huiling Shi, Yanling Zhao, Wei Ding, Jing Han, Hongyang Sun, Xianheng Zhang, Chang Tang, Wei Zhang:
Identification of encrypted and malicious network traffic based on one-dimensional convolutional neural network. J. Cloud Comput. 12(1): 53 (2023) - T. Anitha, S. Aanjankumar, S. Poonkuntran, Anand Nayyar:
A novel methodology for malicious traffic detection in smart devices using BI-LSTM-CNN-dependent deep learning methodology. Neural Comput. Appl. 35(27): 20319-20338 (2023) - Daojing He, Jiayu Dai, Hongjie Gu, Shanshan Zhu, Sammy Chan, Jingyong Su, Mohsen Guizani:
A Malicious Domains Detection Method Based on File Sandbox Traffic. IEEE Netw. 37(6): 182-188 (2023) - Qasem Abu Al-Haija, Manar Alohaly, Ammar Jamil Odeh:
A Lightweight Double-Stage Scheme to Identify Malicious DNS over HTTPS Traffic Using a Hybrid Learning Approach. Sensors 23(7): 3489 (2023)
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