Detection system for detecting worms using hybrid algorithm of naïve Bayesian classifier and k-means
OM Qasim - … Conference on Engineering Technology and its …, 2019 - ieeexplore.ieee.org
According to a huge rampage of malware attacks especially worms which the attackers use
in their attacks to the network. Detection systems are needed to stop these worm attacks. In …
in their attacks to the network. Detection systems are needed to stop these worm attacks. In …
Have You Ever Wondered If Programming Languages Potentially Make Malware More Stealthy?
S Formoso, Z Tan, KO Babaagba, A Dong - Available at SSRN 5049119 - papers.ssrn.com
Over the past 40 years, the number of known malware samples and their complexity have
increased exponentially. Malware development is now a professional enterprise that …
increased exponentially. Malware development is now a professional enterprise that …
[PDF][PDF] A Proposal for Worm Malware Detection by Using Association Rules
KH Al-Saedi, OM Qasim - researchgate.net
Many attacks of malware occur in these days especially worms. Worms can replicate itself
inside the network and spread through each device connected to the network. To prevent …
inside the network and spread through each device connected to the network. To prevent …