Journal article Open Access

Mitigation of Malware Effect using Cyber Threat Analysis using Ensemble Deep Belief Networks

K. Janani

Sponsor(s)
Blue Eyes Intelligence Engineering and Sciences Publication(BEIESP)

Cybersecurity is a technique that entails security models development techniques to the illegal access, modification, or destruction of computing resources, networks, program, and data. Due to tremendous developments in information and communication technologies, new dangers to cyber security have arisen and are rapidly changing. The creation of a Deep Learning system requires a substantial number of input samples and it can take a great deal of time and resources to gather and process the samples. Building and maintaining the basic system requires a huge number of resources, including memory, data and computational power. In this paper, we develop an Ensemble Deep Belief Networks to classify the cybersecurity threats in large scale network. An extensive simulation is conducted to test the efficacy of model under different security attacks. The results show that the proposed method achieves higher level of security than the other methods.

Files (436.7 kB)
Name Size
K947709101121.pdf
md5:f7d5e3d194132e3556c4b4c6560ea3ab
436.7 kB Download
15
19
views
downloads
Views 15
Downloads 19
Data volume 8.3 MB
Unique views 15
Unique downloads 18

Share

Cite as