Over the last decade, video surveillance systems have become a part of the Internet of
Things (IoT). These IP-based surveillance systems now protect industrial facilities, railways …

Machine learning (ML) based malicious traffic detection is an emerging security paradigm,
particularly for zero-day attack detection, which is complementary to existing rule based …

Network middleboxes are important components in modern networking systems, impacting
approximately 40% of network paths according to recent studies [1]. This survey paper …

Machine learning (ML) based malicious traffic detection is an emerging security paradigm,
particularly for zero-day attack detection, which is complementary to existing rule based …

Network attacks (ie, man-in-the-middle (MTM) and denial of service (DoS) attacks) allow
several attackers to obtain and steal important data from physical connected devices in any …

Utilizing browsers to identify and track users has become a routine on the Web in recent
years. It is easy for the browser to collect sensitive information and construct comprehensive …

During the COVID-19 pandemic, most organizations were forced to implement a work-from-
home policy, and in many cases, employees have not been expected to return to the office …

State-of-the-art mechanisms against eavesdrop** first encrypt all packet payloads in the
application layer and then split the packets into multiple network paths. However, versatile …

Industrial Control Systems (ICS) are widely used in critical infrastructure in industries such
as power, rail transit, and water conservancy. As the connection between the corporate …

Cybersecurity Analytics is for the cybersecurity student and professional who wants to learn
data science techniques critical for tackling cybersecurity challenges, and for the data …