activity
20182021
most citedAn Overview of Attacks and Defences on Intelligent Connected Vehicles

34 citations · 81 across the 7 of their papers we have counts for

collaborators

12 papers

cs.SI202125 cited

Capturing Dynamics of Information Diffusion in SNS: A Survey of Methodology and Techniques

Huacheng Li, Chunhe Xia, Tianbo Wang +3

Studying information diffusion in SNS (Social Networks Service) has remarkable significance in both academia and industry. Theoretically, it boosts the development of other subject…

cs.CR20218 cited

Snipuzz: Black-box Fuzzing of IoT Firmware via Message Snippet Inference

Xiaotao Feng, Ruoxi Sun, Xiaogang Zhu +5

The proliferation of Internet of Things (IoT) devices has made people's lives more convenient, but it has also raised many security concerns. Due to the difficulty of obtaining and…

cs.CR2020

DeFuzz: Deep Learning Guided Directed Fuzzing

Xiaogang Zhu, Shigang Liu, Xian Li +4

Fuzzing is one of the most effective technique to identify potential software vulnerabilities. Most of the fuzzers aim to improve the code coverage, and there is lack of directedne…

cs.CR2020

Analysis of Trending Topics and Text-based Channels of Information Delivery in Cybersecurity

Tingmin Wu, Wanlun Ma, Sheng Wen +4

Computer users are generally faced with difficulties in making correct security decisions. While an increasingly fewer number of people are trying or willing to take formal securit…

cs.CR20193 cited

Man-in-the-Middle Attacks against Machine Learning Classifiers via Malicious Generative Models

Derui, Wang, Chaoran Li +3

Deep Neural Networks (DNNs) are vulnerable to deliberately crafted adversarial examples. In the past few years, many efforts have been spent on exploring query-optimisation attacks…

cs.CR201934 cited

An Overview of Attacks and Defences on Intelligent Connected Vehicles

Mahdi Dibaei, Xi Zheng, Kun Jiang +9

Cyber security is one of the most significant challenges in connected vehicular systems and connected vehicles are prone to different cybersecurity attacks that endanger passengers…