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05/10/2023
HoneyIoT: Adaptive High-Interaction Honeypot for IoT Devices Through Reinforcement Learning
As IoT devices are becoming widely deployed, there exist many threats to...
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03/13/2022
Generating Practical Adversarial Network Traffic Flows Using NIDSGAN
Network intrusion detection systems (NIDS) are an essential defense for ...
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09/08/2021
AppQ: Warm-starting App Recommendation Based on View Graphs
Current app ranking and recommendation systems are mainly based on user-...
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09/01/2021
Let Your Camera See for You: A Novel Two-Factor Authentication Method against Real-Time Phishing Attacks
Today, two-factor authentication (2FA) is a widely implemented mechanism...
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12/27/2020
Recomposition vs. Prediction: A Novel Anomaly Detection for Discrete Events Based On Autoencoder
One of the most challenging problems in the field of intrusion detection...
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12/27/2020
Time-Window Group-Correlation Support vs. Individual Features: A Detection of Abnormal Users
Autoencoder-based anomaly detection methods have been used in identifyin...
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10/28/2020
Mitigating Backdoor Attacks in Federated Learning
Malicious clients can attack federated learning systems by using malicio...
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10/21/2020
"Are you home alone?" "Yes" Disclosing Security and Privacy Vulnerabilities in Alexa Skills
The home voice assistants such as Amazon Alexa have become increasingly ...
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08/28/2020
A Network-Assisted Approach for Ransomware Detection
Ransomware is a kind of malware using cryptographic mechanisms to preven...
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09/21/2019
A Lightweight Blockchain-based Privacy Protection for Smart Surveillance at the Edge
Witnessing the increasingly pervasive deployment of security video surve...
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08/26/2019
No Peeking through My Windows: Conserving Privacy in Personal Drones
The drone technology has been increasingly used by many tech-savvy consu...
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03/08/2019
A Study on Smart Online Frame Forging Attacks against Video Surveillance System
Video Surveillance Systems (VSS) have become an essential infrastructura...
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08/30/2018