A survey on malware detection using data mining techniques

Y Ye, T Li, D Adjeroh, SS Iyengar - ACM Computing Surveys (CSUR), 2017 - dl.acm.org
In the Internet age, malware (such as viruses, trojans, ransomware, and bots) has posed
serious and evolving security threats to Internet users. To protect legitimate users from these …

Malware detection and prevention using artificial intelligence techniques

MJH Faruk, H Shahriar, M Valero… - … conference on big …, 2021 - ieeexplore.ieee.org
With the rapid technological advancement, security has become a major issue due to the
increase in malware activity that poses a serious threat to the security and safety of both …

Improving malware detection using big data and ensemble learning

D Gupta, R Rani - Computers & Electrical Engineering, 2020 - Elsevier
Malware detection and classification play a critical role in computer and network security.
Although, many machine learning models have been used in the detection of malicious …

Gotcha-sly malware! scorpion a metagraph2vec based malware detection system

Y Fan, S Hou, Y Zhang, Y Ye… - Proceedings of the 24th …, 2018 - dl.acm.org
Due to its severe damages and threats to the security of the Internet and computing devices,
malware detection has caught the attention of both anti-malware industry and researchers …

Securedroid: Enhancing security of machine learning-based detection against adversarial android malware attacks

L Chen, S Hou, Y Ye - Proceedings of the 33rd Annual Computer …, 2017 - dl.acm.org
With smart phones being indispensable in people's everyday life, Android malware has
posed serious threats to their security, making its detection of utmost concern. To protect …

[PDF][PDF] A survey on malware and malware detection systems

IA Saeed, A Selamat… - International Journal of …, 2013 - researchgate.net
Over the last decades, there were lots of studies made on malware and their
countermeasures. The most recent reports emphasize that the invention of malicious …

-Satellite: An AI-driven System and Benchmark Datasets for Hierarchical Community-level Risk Assessment to Help Combat COVID-19

Y Ye, S Hou, Y Fan, Y Qian, Y Zhang, S Sun… - arXiv preprint arXiv …, 2020 - arxiv.org
The novel coronavirus and its deadly outbreak have posed grand challenges to human
society: as of March 26, 2020, there have been 85,377 confirmed cases and 1,293 reported …

Droideye: Fortifying security of learning-based classifier against adversarial android malware attacks

L Chen, S Hou, Y Ye, S Xu - 2018 IEEE/ACM International …, 2018 - ieeexplore.ieee.org
To combat the evolving Android malware attacks, systems using machine learning
techniques have been successfully deployed for Android malware detection. In these …

Improving malware detection using multi‐view ensemble learning

J Bai, J Wang - Security and Communication Networks, 2016 - Wiley Online Library
The huge influx of new malware is created every day, and those malware have not been
previously seen in the wild. Current anti‐virus software uses byte signature to identify known …

Ensemble clustering for internet security applications

W Zhuang, Y Ye, Y Chen, T Li - IEEE Transactions on Systems …, 2012 - ieeexplore.ieee.org
Due to their damage to Internet security, malware and phishing website detection has been
the Internet security topics that are of great interests. Compared with malware attacks …