Results (2)
Search Parameters:
Keyword: Malware ClassificationMalware Classification Using XGboost-Gradient Boosted Decision Tree
by Rajesh Kumar and Geetha S
Advances in Science, Technology and Engineering Systems Journal,
Volume 5,
Issue 5,
Page # 536–549,
2020;
DOI: 10.25046/aj050566
Abstract:
In this industry 4.0 and digital era, we are more dependent on the use of communication and various transaction such as financial, exchange of information by various means. These transaction needs to be secure. Differentiation between the use of benign and malware is one way to make these transactions secure. We propose in this work…
Read More(This article belongs to Section Information Systems in Computer Science (CIS))
Malware Classification Based on System Call Sequences Using Deep Learning
Advances in Science, Technology and Engineering Systems Journal,
Volume 5,
Issue 4,
Page # 207–216,
2020;
DOI: 10.25046/aj050426
Abstract:
Malware has always been a big problem for companies, government agencies, and individuals because people still use it as a primary tool to influence networks, applications, and computer operating systems to gain unilateral benefits. Until now, malware detection with heuristic and signature-based methods are still struggling to keep up with the evolution of malware. Machine…
Read More(This article belongs to Section Artificial Intelligence in Computer Science (CAI))
