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 classification and composition analysis: A survey of recent developments

A Abusitta, MQ Li, BCM Fung - Journal of Information Security and …, 2021 - Elsevier
Malware detection and classification are becoming more and more challenging, given the
complexity of malware design and the recent advancement of communication and …

A survey on heuristic malware detection techniques

Z Bazrafshan, H Hashemi, SMH Fard… - The 5th conference on …, 2013 - ieeexplore.ieee.org
Malware is a malicious code which is developed to harm a computer or network. The
number of malwares is growing so fast and this amount of growth makes the computer …

Vehicle security: A survey of security issues and vulnerabilities, malware attacks and defenses

AA Elkhail, RUD Refat, R Habre, A Hafeez… - IEEE …, 2021 - ieeexplore.ieee.org
Recent years have led the path to the evolution of automotive technology and with these
new developments, modern vehicles are getting increasingly astute and offering growing …

[HTML][HTML] MalInsight: A systematic profiling based malware detection framework

W Han, J Xue, Y Wang, Z Liu, Z Kong - Journal of Network and Computer …, 2019 - Elsevier
To handle the security threat faced by the widespread use of Internet of Things (IoT) devices
due to the ever-lasting increase of malware, the security researchers increasingly rely on …

Graph embedding as a new approach for unknown malware detection

H Hashemi, A Azmoodeh, A Hamzeh… - Journal of Computer …, 2017 - Springer
Malware is any type of computer program which is developed to harm computers, networks,
and information. Noticeable growth of malware development has made computer and …

[PDF][PDF] Mal-id: Automatic malware detection using common segment analysis and meta-features.

G Tahan, L Rokach, Y Shahar - Journal of Machine Learning Research, 2012 - jmlr.org
This paper proposes several novel methods, based on machine learning, to detect malware
in executable files without any need for preprocessing, such as unpacking or disassembling …

Malware classification and class imbalance via stochastic hashed lzjd

E Raff, C Nicholas - Proceedings of the 10th ACM Workshop on Artificial …, 2017 - dl.acm.org
There are currently few methods that can be applied to malware classification problems
which don't require domain knowledge to apply. In this work, we develop our new SHWeL …

Malware detection using bilayer behavior abstraction and improved one-class support vector machines

Q Miao, J Liu, Y Cao, J Song - International Journal of Information Security, 2016 - Springer
Malware detection is one of the most challenging problems in computer security. Recently,
methods based on machine learning are very popular in unknown and variant malware …

An opcode sequences analysis method for unknown malware detection

Z Sun, Z Rao, J Chen, R Xu, D He, H Yang… - Proceedings of the 2019 …, 2019 - dl.acm.org
One of the main challenges in security today is defending against unknown malware attacks
which have the potential to harm a computer or network. Hence, detecting malware has …