[HTML][HTML] The rise of machine learning for detection and classification of malware: Research developments, trends and challenges
The struggle between security analysts and malware developers is a never-ending battle
with the complexity of malware changing as quickly as innovation grows. Current state-of-the …
with the complexity of malware changing as quickly as innovation grows. Current state-of-the …
Performance comparison and current challenges of using machine learning techniques in cybersecurity
Cyberspace has become an indispensable factor for all areas of the modern world. The
world is becoming more and more dependent on the internet for everyday living. The …
world is becoming more and more dependent on the internet for everyday living. The …
A survey on machine learning techniques for cyber security in the last decade
Pervasive growth and usage of the Internet and mobile applications have expanded
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …
[PDF][PDF] Malware detection by eating a whole exe
In this work we introduce malware detection from raw byte sequences as a fruitful research
area to the larger machine learning community. Building a neural network for such a …
area to the larger machine learning community. Building a neural network for such a …
[HTML][HTML] Ethical hacking for IoT: Security issues, challenges, solutions and recommendations
In recent years, attacks against various Internet-of-Things systems, networks, servers,
devices, and applications witnessed a sharp increase, especially with the presence of 35.82 …
devices, and applications witnessed a sharp increase, especially with the presence of 35.82 …
Cyber threat detection using machine learning techniques: A performance evaluation perspective
The present-day world has become all dependent on cyberspace for every aspect of daily
living. The use of cyberspace is rising with each passing day. The world is spending more …
living. The use of cyberspace is rising with each passing day. The world is spending more …
[PDF][PDF] A survey on malware analysis techniques: Static, dynamic, hybrid and memory analysis
The threats malware pose to the people around the world are increasing rapidly. A software
that sneaks to your computer system without your knowledge with a harmful intent to disrupt …
that sneaks to your computer system without your knowledge with a harmful intent to disrupt …
Analyzing and detecting emerging Internet of Things malware: A graph-based approach
The steady growth in the number of deployed Internet of Things (IoT) devices has been
paralleled with an equal growth in the number of malicious software (malware) targeting …
paralleled with an equal growth in the number of malicious software (malware) targeting …
Motif: A malware reference dataset with ground truth family labels
Malware family classification is a significant issue with public safety and research
implications that has been hindered by the high cost of expert labels. The vast majority of …
implications that has been hindered by the high cost of expert labels. The vast majority of …
Adversarial learning attacks on graph-based IoT malware detection systems
IoT malware detection using control flow graph (CFG)-based features and deep learning
networks are widely explored. The main goal of this study is to investigate the robustness of …
networks are widely explored. The main goal of this study is to investigate the robustness of …