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20202026
most citedMTS-DVGAN: Anomaly Detection in Cyber-Physical Systems using a Dual Variational Generative Adversarial Network

29 citations · 35 across the 13 of their papers we have counts for

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Showing cs.CRShow all

8 papers · 1 filter

cs.CR2026

PEMark: Watermarking API Responses Based on Proxy Gateways and Position Encoding

Yifei Zhou, Xianjun Gu, Xinyu Dai +2

Data leakage from API responses has drawn wide attention. APIs are often not fully regulated, making them easy to abuse. One common solution is to embed watermarks into API respons…

cs.CR2024

CLNX: Bridging Code and Natural Language for C/C++ Vulnerability-Contributing Commits Identification

Zeqing Qin, Yiwei Wu, Lansheng Han

Large Language Models (LLMs) have shown great promise in vulnerability identification. As C/C++ comprises half of the Open-Source Software (OSS) vulnerabilities over the past decad…

cs.CR2024★ 2 cited

Research and application of artificial intelligence based webshell detection model: A literature review

Mingrui Ma, Lansheng Han, Chunjie Zhou

Webshell, as the "culprit" behind numerous network attacks, is one of the research hotspots in the field of cybersecurity. However, the complexity, stealthiness, and confusing natu…

cs.CR2024★ 1 cited

Large Language Models are Few-shot Generators: Proposing Hybrid Prompt Algorithm To Generate Webshell Escape Samples

Mingrui Ma, Lansheng Han, Chunjie Zhou

The frequent occurrence of cyber-attacks has made webshell attacks and defense gradually become a research hotspot in the field of network security. However, the lack of publicly a…

cs.CR2023★ 29 cited

MTS-DVGAN: Anomaly Detection in Cyber-Physical Systems using a Dual Variational Generative Adversarial Network

Haili Sun, Yan Huang, Lansheng Han +3

Deep generative models are promising in detecting novel cyber-physical attacks, mitigating the vulnerability of Cyber-physical systems (CPSs) without relying on labeled information…

cs.CR2023

Few-shot Detection of Anomalies in Industrial Cyber-Physical System via Prototypical Network and Contrastive Learning

Haili Sun, Yan Huang, Lansheng Han +1

The rapid development of Industry 4.0 has amplified the scope and destructiveness of industrial Cyber-Physical System (CPS) by network attacks. Anomaly detection techniques are emp…

cs.CR2022

WebCrack: Dynamic Dictionary Adjustment for Web Weak Password Detection based on Blasting Response Event Discrimination

Xiang Long, Yan Huang, Zhendong Liu +3

The feature diversity of different web systems in page elements, submission contents and return information makes it difficult to detect weak password automatically. To solve this…

cs.CR2022

Neural-FacTOR: Neural Representation Learning for Website Fingerprinting Attack over TOR Anonymity

Haili Sun, Yan Huang, Lansheng Han +3

TOR (The Onion Router) network is a widely used open source anonymous communication tool, the abuse of TOR makes it difficult to monitor the proliferation of online crimes such as…