• Publications
  • Influence
Deep Learning for Encrypted Traffic Classification: An Overview
Traffic classification has been studied for two decades and applied to a wide range of applications from QoS provisioning and billing in ISPs to security-related applications in firewalls andExpand
How to Achieve High Classification Accuracy with Just a Few Labels: A Semi-supervised Approach Using Sampled Packets
TLDR
In this paper, we propose a semi-supervised approach that obviates the need for large labeled datasets. Expand
Large-Scale Mobile App Identification Using Deep Learning
TLDR
We propose a CNN+LSTM model that uses adjacent flows to learn the order and pattern of multiple flows, to better identify the app that generates them. Expand
Towards the Infeasibility of Membership Inference on Deep Models
TLDR
We show that existing MI attack models can only identify the membership of misclassified samples with mediocre accuracy at best, which only constitute a very small portion of training samples. Expand
A Target-Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer Learning
TLDR
We show that without any additional knowledge other than the pre-trained model, an attacker can launch an effective and efficient brute force attack that can craft instances of input to trigger each target class with high confidence. Expand
Throughput Analysis of IEEE 802.11 Multi-Hop Wireless Networks With Routing Consideration: A General Framework
TLDR
The end-to-end throughput depends on multiple factors, such as physical layer limitations, medium access control (MAC) protocol properties, routing policy, and nodes' distribution. Expand
Multitask Learning for Network Traffic Classification
  • Shahbaz Rezaei, X. Liu
  • Computer Science, Mathematics
  • 29th International Conference on Computer…
  • 12 June 2019
TLDR
We reformulate the traffic classification into a multi-task learning framework where bandwidth requirement and duration of a flow are predicted along with the traffic class. Expand
Impact of jitter mechanisms on metric-based wireless routing protocols
TLDR
In many wireless communication protocols, small and random delay, called jitter is imposed before packet transmission so as to reduce packet collisions. Expand
An Ambulatory Blood Pressure Monitor Mobile Health System for Early Warning for Stroke Risk: Longitudinal Observational Study
Background Stroke, as a leading cause of death around the globe, has become a heavy burden on our society. Studies show that stroke can be predicted and prevented if a person’s blood pressure (BP)Expand
Study of Uniform Jitter Mechanism for Metric-based Wireless Routing
TLDR
A metric-based jitter mechanism is proposed in this paper and a closed form expression is derived that enables us to obtain the probability of delay inversion for all jitter mechanisms available. Expand
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