Malware detection and prevention using artificial intelligence techniques
With the rapid technological advancement, security has become a major issue due to the
increase in malware activity that poses a serious threat to the security and safety of both …
increase in malware activity that poses a serious threat to the security and safety of both …
Securing tomorrow: a comprehensive survey on the synergy of Artificial Intelligence and information security
This survey paper explores the transformative role of Artificial Intelligence (AI) in information
security. Traditional methods, especially rule-based approaches, faced significant …
security. Traditional methods, especially rule-based approaches, faced significant …
Machine learning adoption in blockchain-based smart applications: The challenges, and a way forward
In recent years, the emergence of blockchain technology (BT) has become a unique, most
disruptive, and trending technology. The decentralized database in BT emphasizes data …
disruptive, and trending technology. The decentralized database in BT emphasizes data …
Windows PE malware detection using ensemble learning
In this Internet age, there are increasingly many threats to the security and safety of users
daily. One of such threats is malicious software otherwise known as malware (ransomware …
daily. One of such threats is malicious software otherwise known as malware (ransomware …
A Comprehensive Analysis of Explainable AI for Malware Hunting
In the past decade, the number of malware variants has increased rapidly. Many
researchers have proposed to detect malware using intelligent techniques, such as Machine …
researchers have proposed to detect malware using intelligent techniques, such as Machine …
A holistic review of machine learning adversarial attacks in IoT networks
With the rapid advancements and notable achievements across various application
domains, Machine Learning (ML) has become a vital element within the Internet of Things …
domains, Machine Learning (ML) has become a vital element within the Internet of Things …
Boosting training for PDF malware classifier via active learning
Y Li, X Wang, Z Shi, R Zhang, J Xue… - International journal of …, 2022 - Wiley Online Library
Abstract Machine learning algorithms are widely used for cybersecurity applications, include
spam, malware detection. In these applications, the machine learning model has to face …
spam, malware detection. In these applications, the machine learning model has to face …
A novel blockchain federated safety-as-a-service scheme for industrial IoT using machine learning
Blockchains are costly in terms of computing and involve high overhead bandwidth and
delays that are not suitable for smart appliances. Enhancing the precision of output, quality …
delays that are not suitable for smart appliances. Enhancing the precision of output, quality …
Analysis of fileless malware and its evasive behavior
A Afreen, M Aslam, S Ahmed - 2020 International Conference …, 2020 - ieeexplore.ieee.org
Malware is any software that causes harm to the user information, computer systems or
network. Modern computing and internet systems are facing increase in malware threats …
network. Modern computing and internet systems are facing increase in malware threats …
Evaluation of local security event management system vs. standard antivirus software
A Pérez-Sánchez, R Palacios - Applied Sciences, 2022 - mdpi.com
Featured Application This work can be applied to develop new anti-malware strategies
based on event analysis. Abstract The detection and classification of threats in computer …
based on event analysis. Abstract The detection and classification of threats in computer …