Malware Classification Into Families Based On File Contents And Characteristics

Abstract

The use of malicious software (malware) as an instrument for carrying out different criminal activities both organised and non-organised have become the major threat faced by today’s world of connectivity. Frequency and complexity of such cyberattacks makes it difficult for computer antivirus companies to efficiently handle the high value of the new malwares released using traditional approaches that depends mainly on signature. As a result, machine learning approaches are now the best home for this problem, and have demonstrate a great success. One of the challenges now is finding a method that is reasonably fast, and can practically adopted. In this work, we try some of the best machine learning models Convolutional Neural Network (CNN) in one of the new computer generation language namely Julia.

Subscribe to access this work and thousands more
Overall Rating

0

5 Star
(0)
4 Star
(0)
3 Star
(0)
2 Star
(0)
1 Star
(0)
APA

Minjibir, J (2021). Malware Classification Into Families Based On File Contents And Characteristics. Afribary. Retrieved from https://afribary.com/works/malware-classification-into-families-based-on-file-contents-and-characteristics

MLA 8th

Minjibir, Jabir "Malware Classification Into Families Based On File Contents And Characteristics" Afribary. Afribary, 13 Apr. 2021, https://afribary.com/works/malware-classification-into-families-based-on-file-contents-and-characteristics. Accessed 23 Jul. 2024.

MLA7

Minjibir, Jabir . "Malware Classification Into Families Based On File Contents And Characteristics". Afribary, Afribary, 13 Apr. 2021. Web. 23 Jul. 2024. < https://afribary.com/works/malware-classification-into-families-based-on-file-contents-and-characteristics >.

Chicago

Minjibir, Jabir . "Malware Classification Into Families Based On File Contents And Characteristics" Afribary (2021). Accessed July 23, 2024. https://afribary.com/works/malware-classification-into-families-based-on-file-contents-and-characteristics