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- research-articleJuly 2024
Relation-CNN: Enhancing website fingerprinting attack with relation features and NFS-CNN
Expert Systems with Applications: An International Journal (EXWA), Volume 247, Issue CAug 2024https://doi.org/10.1016/j.eswa.2024.123236AbstractWebsite fingerprinting (WF) attacks enable a local eavesdropper to infer the visiting websites of a user even in an encrypted connection. To improve the prediction performance of WF attacks, we approach from two perspectives, i.e., features and ...
Highlights- We first propose relation features from Tor traffic.
- We design NFS-CNN, a deep learning model, which can reduce the information loss.
- Based on NFS-CNN, we propose Relation-CNN, a new website fingerprinting attack.
- Results show ...
- research-articleJuly 2024
STI: A self-evolutive traffic identification system for unknown applications based on improved random forest
Computer Communications (COMS), Volume 219, Issue CApr 2024, Pages 64–75https://doi.org/10.1016/j.comcom.2024.02.010AbstractArtificial intelligence technology has proven potential and effective in traffic identification for network management and security. However, the accuracy of its identification is easily influenced by the massive unknown traffic. Given the fact ...
- research-articleSeptember 2023
SecChecker: Inspecting the security implementation of 5G Commercial Off-The-Shelf (COTS) mobile devices
Computers and Security (CSEC), Volume 132, Issue CSep 2023https://doi.org/10.1016/j.cose.2023.103361AbstractAlthough 5G security has been further improved with the evolution of the standard, it remains to be checked whether 5G cellular devices (i.e., User Equipment or UE) have correctly implemented the designed security features following the ...
- research-articleMay 2023
FECC: DNS tunnel detection model based on CNN and clustering
Computers and Security (CSEC), Volume 128, Issue CMay 2023https://doi.org/10.1016/j.cose.2023.103132AbstractAs the basic service of the network, the Domain Name System (DNS) is almost never blocked by the firewall. DNS tunnel takes advantage of this feature of DNS service to achieve barrier-free communication between the internal network and the ...
- research-articleDecember 2022
An efficient cross-domain few-shot website fingerprinting attack with Brownian distance covariance
Computer Networks: The International Journal of Computer and Telecommunications Networking (CNTW), Volume 219, Issue CDec 2022https://doi.org/10.1016/j.comnet.2022.109461AbstractWebsite fingerprinting (WF) attacks can infer the specific websites from Tor encrypted traffic. However, most existing WF attacks require a large number of training samples (e.g., hundreds) per website to achieve the desirable ...
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- research-articleDecember 2022
TupleTree: A High-Performance Packet Classification Algorithm Supporting Fast Rule-Set Updates
IEEE/ACM Transactions on Networking (TON), Volume 31, Issue 5Pages 2027–2041https://doi.org/10.1109/TNET.2022.3227206Packet classification plays a crucial role in various network functions such as access control and routing. In recent years, the rapid development of SDN and NFV poses new challenges for packet classification to support fast rule-set updates as ...
- ArticleDecember 2022
Comprehensive Mobile Traffic Characterization Based on a Large-Scale Mobile Traffic Dataset
AbstractMobile traffic has accounted for a principal part of network traffic with the ways of accessing the Internet shifting to mobile devices. Subsequently, mobile traffic analysis becomes the focus of research. However, there is a lack of studies on ...
- research-articleSeptember 2022
HAGDetector: Heterogeneous DGA domain name detection model
Computers and Security (CSEC), Volume 120, Issue CSep 2022https://doi.org/10.1016/j.cose.2022.102803AbstractThe botnet relies on the Command and Control (C&C) channels to conduct its malicious activities remotely. The Domain Generation Algorithm (DGA) is often used by botnets to hide their Command and Control (C&C) server and evade take-down ...
- short-paperNovember 2023
RLCS: A Classification System Based on Random Forest and Logistic Regression for Hybrid Zero-day Traffic
APNet '22: Proceedings of the 6th Asia-Pacific Workshop on NetworkingJuly 2022, Pages 97–98https://doi.org/10.1145/3542637.3543706Traffic classification has attracted public attention for a long time because of its essential role in network management. However, the presence of zero-day traffic, network traffic generated by previously unknown applications, leads to a significant ...
- short-paperNovember 2023
Multi-Level Text Importance Classification Architecture Based on Deep Learning
APNet '22: Proceedings of the 6th Asia-Pacific Workshop on NetworkingJuly 2022, Pages 87–89https://doi.org/10.1145/3542637.3543702In the era of information explosion, the Internet is full of spam and false information, making it more difficult for people to obtain effective information. Since text data is the main carrier for disseminating information and knowledge, we propose a ...
- short-paperNovember 2023
Reducing Network Traffic Storage Overhead: A Hardware-Accelerated Lossless Data Compression System
APNet '22: Proceedings of the 6th Asia-Pacific Workshop on NetworkingJuly 2022, Pages 85–86https://doi.org/10.1145/3542637.3543701Skyrocketing network traffic volume brings significant overhead of traffic storage. We propose a hardware-accelerated lossless data compression system to reduce traffic storage overhead. The prototype evaluation validates the excellent resource ...
- research-articleJanuary 2022
Statistical Feature-Based Personal Information Detection in Mobile Network Traffic
Wireless Communications & Mobile Computing (WCMC), Volume 20222022https://doi.org/10.1155/2022/5085200With the popularity of smartphones, mobile applications (apps) have penetrated the daily life of people. Although apps provide rich functionalities, they also access a large amount of personal information simultaneously. As a result, privacy concerns are ...
- research-articleJanuary 2022
A Protocol-Independent Botnet Detection Method Using Flow Similarity
The detection of botnets has always been a hot spot in the field of network security. However, there are still many challenges in botnet detection. Most of the current botnet detection approaches, such as machine learning and blacklists, cannot discover ...
- articleDecember 2021
Improving 4G/5G air interface security: A survey of existing attacks on different LTE layers
Computer Networks: The International Journal of Computer and Telecommunications Networking (CNTW), Volume 201, Issue CDec 2021https://doi.org/10.1016/j.comnet.2021.108532AbstractThe 4G/Long Term Evolution (LTE) has become the dominant mobile access technology worldwide so far, while the development of the 5G/NR (New Radio) cellular network is also accelerating. Like the previous generations of mobile networks, ...
- research-articleNovember 2021
RF-RISA: A novel flexible random forest accelerator based on FPGA
Journal of Parallel and Distributed Computing (JPDC), Volume 157, Issue CNov 2021, Pages 220–232https://doi.org/10.1016/j.jpdc.2021.07.001AbstractRecently, FPGA has been utilized to accelerate the Random Forest prediction process to meet the speed requirements of real-time tasks. However, the existing accelerators impose restrictions on the parameters of the accelerated model. ...
Highlights- A flexible Random Forest prediction accelerator for multiple applications.
- A ...
- research-articleJanuary 2020
Real Network Traffic Collection and Deep Learning for Mobile App Identification
Wireless Communications & Mobile Computing (WCMC), Volume 20202020https://doi.org/10.1155/2020/4707909The proliferation of mobile devices over recent years has led to a dramatic increase in mobile traffic. Demand for enabling accurate mobile app identification is coming as it is an essential step to improve a multitude of network services: ...
- research-articleJanuary 2019
Identifying Known and Unknown Mobile Application Traffic Using a Multilevel Classifier
Due to the proliferation of mobile applications, mobile traffic identification plays a crucial role in understanding the network traffic. However, the pervasive unconcerned apps and the emerging apps pose great challenges to the mobile traffic ...
- research-articleJanuary 2019
LTE Phone Number Catcher: A Practical Attack against Mobile Privacy
Phone number is a unique identity code of a mobile subscriber, which plays a more important role in the mobile social network life than another identification number IMSI. Unlike the IMSI, a mobile device never transmits its own phone number to ...
- research-articleAugust 2018
Layer-weakening feature fusion network for remote sensing detection
ICIMCS '18: Proceedings of the 10th International Conference on Internet Multimedia Computing and ServiceAugust 2018, Article No.: 14, Pages 1–6https://doi.org/10.1145/3240876.3240887The remote sensing detection is a challenging issue for scale diversity, diversity of views, small objects, and sophisticated light and shadow backgrounds. In this paper, inspired by the state-of-the-art detection framework FPN [6], we propose a novel ...
- ArticleJuly 2018
Privacy-Preserving Mining of Association Rule on Outsourced Cloud Data from Multiple Parties
AbstractIt has been widely recognized as a challenge to carry out data analysis and meanwhile preserve its privacy in the cloud. In this work, we mainly focus on a well-known data analysis approach namely association rule mining. We found that the data ...