Social media bots (automated accounts) attacks are organized crimes that pose potential
threats to public opinion, democracy, public health, stock market and other disciplines. While …

Botnet is one of the major threats on the Internet for committing cybercrimes, such as DDoS
attacks, stealing sensitive information, spreading spams, etc. It is a challenging issue to …

Bots are regarded as the most common kind of malwares in the era of Web 2.0. In recent
years, Internet has been populated by hundreds of millions of bots, especially on social …

The detection and anti-detection of social botnets constitute an arms race that enables social
botnets to evolve quickly. Existing host-side detection approaches cannot easily detect every …

The advancements in the Internet has enabled connecting more devices into this technology
every day. The emergence of the Internet of Things has aggregated this growth. Lack of …

Abstract Harmful Twitter Bots (HTBs) are widespread and adaptable to a wide range of
social network platforms. The use of social network bots on numerous social network …

The cognitive systems along with the machine learning techniques have provided significant
improvements for many applications. However, recent adversarial attacks, such as data …

The implementations of network protocols are often “bloated” due to various users' needs
and complex environment for deployment. The continual expansion of program features …

Modern application workloads are mostly deployed on cloud computing platforms. Illicit
communication across user domains is prohibited by Operating System (OS) or Virtual …

Social botnets have several inherent advantages that enable them to evade common botnet
detection approaches. When a social bot is in a malware-analysis environment, it may not …