Results 11 to 20 of about 25,989,787 (296)
Encrypted Network Traffic Analysis and Classification Utilizing Machine Learning. [PDF]
Sensors (Basel)Encryption is a fundamental security measure to safeguard data during transmission to ensure confidentiality while at the same time posing a great challenge for traditional packet and traffic inspection.
Alwhbi IA, Zou CC, Alharbi RN.
europepmc +2 more sources
Malicious DNS Tunnel Tool Recognition Using Persistent DoH Traffic Analysis
IEEE Transactions on Network and Service Management, 2023 DNS over HTTPS (Do) can mitigate the risk of privacy breaches but makes it difficult to control network security services due to the DNS traffic encryption.
Rikima Mitsuhashi +4 more
semanticscholar +1 more source
BARS: Local Robustness Certification for Deep Learning based Traffic Analysis Systems
Network and Distributed System Security Symposium, 2023 —Deep learning (DL) performs well in many traffic analysis tasks. Nevertheless, the vulnerability of deep learning weakens the real-world performance of these traffic analyzers (e.g., suffering from evasion attack).
Kai Wang +6 more
semanticscholar +1 more source
New Directions in Automated Traffic Analysis [PDF]
Conference on Computer and Communications Security, 2020 Machine learning is leveraged for many network traffic analysis tasks in security, from application identification to intrusion detection. Yet, the aspects of the machine learning pipeline that ultimately determine the performance of the model---feature ...
Jordan Holland +3 more
semanticscholar +1 more source
IEEE Access, 2022 Smart home IoT devices lack proper security, raising safety and privacy concerns. One-size-fits-all network administration is ineffective because of the diverse QoS requirements of IoT devices.
Houda Jmila +3 more
semanticscholar +1 more source
Data Transformation Schemes for CNN-Based Network Traffic Analysis: A Survey
Electronics, 2021 The enormous growth of services and data transmitted over the internet, the bloodstream of modern civilization, has caused a remarkable increase in cyber attack threats. This fact has forced the development of methods of preventing attacks.
J. Krupski +2 more
semanticscholar +1 more source
Practical Traffic Analysis Attacks on Secure Messaging Applications [PDF]
Network and Distributed System Security Symposium, 2020 Instant Messaging (IM) applications like Telegram, Signal, and WhatsApp have become extremely popular in recent years. Unfortunately, such IM services have been targets of continuous governmental surveillance and censorship, as these services are home to
Alireza Bahramali +4 more
semanticscholar +1 more source
IEEE Transactions on Industrial Informatics, 2021 Due to high capacity and fast transmission speed, 5G plays a key role in modern electronic infrastructure. Meanwhile, sparse tensor factorization (STF) is a useful tool for dimension reduction to analyze high-order, high-dimension, and sparse tensor ...
Jin Wang +5 more
semanticscholar +1 more source
User-Guided Chinese Painting Completion–A Generative Adversarial Network Approach
IEEE Access, 2020 Image completion models based on deep neural networks have been a research hot spot in computer vision. However, most of the previous methods focus on natural images, such as faces and landscapes.
Jieting Xue, Jingtao Guo, Yi Liu
doaj +1 more source
Spatio-Temporal Correlation Based Adaptive Feature Learning of Tracking Object
Jisuanji kexue yu tansuo, 2021 Object tracking has been a difficult problem in the field of vision in recent years. The core task is to continuously locate an object in video sequences and mark its location with bounding boxes.
GUO Mingzhe, CAI Zixin, WANG Xinyue, JING Liping, YU Jian
doaj +1 more source