Malware Detection and Analysis: Challenges and Research Opportunities

01/21/2021
by   Zahid Akhtar, et al.
0

Malwares are continuously growing in sophistication and numbers. Over the last decade, remarkable progress has been achieved in anti-malware mechanisms. However, several pressing issues (e.g., unknown malware samples detection) still need to be addressed adequately. This article first presents a concise overview of malware along with anti-malware and then summarizes various research challenges. This is a theoretical and perspective article that is hoped to complement earlier articles and works.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
04/04/2019

Malware Detection using Machine Learning and Deep Learning

Research shows that over the last decade, malware has been growing expon...
research
08/26/2019

Modeling infection methods of computer malware in the presence of vaccinations using epidemiological models: An analysis of real-world data

Computer malware and biological pathogens often use similar mechanisms o...
research
08/30/2022

AVMiner: Expansible and Semantic-Preserving Anti-Virus Labels Mining Method

With the increase in the variety and quantity of malware, there is an ur...
research
02/28/2022

Anti-Malware Sandbox Games

We develop a game theoretic model of malware protection using the state-...
research
09/13/2017

On labeling Android malware signatures using minhashing and further classification with Structural Equation Models

Multi-scanner Antivirus systems provide insightful information on the na...
research
08/17/2022

An Efficient Multi-Step Framework for Malware Packing Identification

Malware developers use combinations of techniques such as compression, e...

Please sign up or login with your details

Forgot password? Click here to reset