This survey paper describes a literature review of deep learning (DL) methods for cyber
security applications. A short tutorial-style description of each DL method is provided …

Malicious URL, aka malicious website, is a common and serious threat to cybersecurity.
Malicious URLs host unsolicited content (spam, phishing, drive-by exploits, etc.) and lure …

Network Traffic Monitoring and Analysis (NTMA) represents a key component for network
management, especially to guarantee the correct operation of large-scale networks such as …

While the usage of Artificial Intelligence and Machine Learning Software (AI/MLS) in
defensive cybersecurity has received considerable attention, there remains a noticeable …

Web application firewall (WAF) examines malicious traffic to and from a web application via
a set of security rules. It plays a significant role in securing Web applications against web …

Cyber-attacks cause huge monetary losses to the institutions that are victims of them. Cyber-
attack is becoming increasingly sophisticated. Therefore, the protection system against …

Technological advancement of smart devices has opened up a new trend: Internet of
Everything (IoE), where all devices are connected to the web. Large scale networking …

Domain generation algorithms (DGAs) represent a class of malware used to generate large
numbers of new domain names to achieve command-and-control (C2) communication …

Arbuscular mycorrhizal fungi (AMF) can promote plant growth and enhance plant drought
tolerance with varying effect size among different fungal species. However, the linkage …

Malicious websites pose a challenging cybersecurity threat. Traditional tools for detecting
malicious websites rely heavily on industry-specific domain knowledge, are maintained by …