This survey paper describes a focused literature survey of machine learning (ML) and data
mining (DM) methods for cyber analytics in support of intrusion detection. Short tutorial …

Malicious domains are one of the major resources required for adversaries to run attacks
over the Internet. Due to the important role of the Domain Name System (DNS), extensive …

Machine Learning (ML) represents a pivotal technology for current and future information
systems, and many domains already leverage the capabilities of ML. However, deployment …

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 …

Managing and securing networks requires collecting and analyzing network traffic data in
real time. Existing telemetry systems do not allow operators to express the range of queries …

Despite an extensive anti-phishing ecosystem, phishing attacks continue to capitalize on
gaps in detection to reach a significant volume of daily victims. In this paper, we isolate and …

Computer networks have been experienced ever-increasing growth since they play a critical
role in different aspects of human life. Regarding the vulnerabilities of computer networks …

(57) ABSTRACT A processing device in one embodiment comprises a pro cessor coupled to
a memory and is configured to obtain internal log data of a computer network of an …

With the arrival of the Internet of Things (IoT) many devices such as sensors, nowadays can
communicate with each other and share data easily. However, the IoT paradigm is prone to …

Identifying threats contained within encrypted network traffic poses a unique set of
challenges. It is important to monitor this traffic for threats and malware, but do so in a way …