An Automatic Botnet Detection and Notification System in Taiwan

BotOnus: an online unsupervised method for Botnet detection

Botnets are recognized as one of the most dangerous threats to the Internet infrastructure. They are used for malicious activities such as launching distributed denial of service attacks, sending spam, and leaking personal information. Existing botnet detection methods produce a number of good ideas, but they are far from complete yet, since most of them cannot detect botnets in an early stage ...

BotRevealer: Behavioral Detection of Botnets based on Botnet Life-cycle

Nowadays, botnets are considered as essential tools for planning serious cyberattacks. Botnets are used to perform various malicious activities such as DDoSattacks and sending spam emails. Different approaches are presented to detectbotnets; however most of them may be ineffective when there are only a fewinfected hosts in monitored network, as they rely on similarity in...

MSAS: An M-mental health care System for Automatic Stress detection

Automatic Detection and Localization of Surface Cracks in Continuously Cast Hot Steel Slabs Using Digital Image Analysis Techniques

Quality inspection is an indispensable part of modern industrial manufacturing. Steel as a major industry requires constant surveillance and supervision through its various stages of production. Continuous casting is a critical step in the steel manufacturing process in which molten steel is solidified into a semi-finished product called slab. Once the slab is released from the casting unit, th...

Detection of fast - ux botnets through DNS tra c analysis

Botnets are networks built up of a large number of bot computers, which provide the attacker with massive resources, such as bandwidth, storage, and processing power, in turn, allowing the attacker to launch massive attacks, such as Distributed Denial of Service (DDoS) attacks, or undertake spamming or phishing campaigns. One of the main approaches for botnet detection is based on monitoring an...