Bots are still a serious threat to Internet security. Although a lot of approaches have been proposed to detect bots at host or network level, they still have shortcomings. Hostlevel approaches can detect bots with high accuracy. However they usually pose too much overhead on the host. While network-level approaches can detect bots with less overhead, they have problems in detecting bots with e...

Using agent-basedmodeling approach, in this paper, we study self-organized dynamics of interacting agents in the presence of chat Bots. Different Bots with tunable “human-like” attributes, which exchange emotional messages with agents, are considered, and collective emotional behavior of agents is quantitatively analysed. In particular, using detrended fractal analysis we determine persistent f...

BACKGROUND The purpose of the current study was to evaluate the characteristics of borderline ovarian tumors (BOTs) diagnosed during pregnancy. PATIENTS AND METHODS We conducted a retrospective multicenter study of 40 patients with BOTs diagnosed during pregnancy between 1997 and 2009 at five tertiary universitary departments of Gynecology and Obstetrics and one French cancer center. The medi...

Transient spam-bots are hijacked computers that are connected to the Internet for short periods of time, during which they send large amounts of spam. These spam-bots have become a principle source of spam; against which, static countermeasures such as DNS Black Lists are largely ineffective, and content-based filters provide only temporary relief without ongoing tuning and upgrading—a neverend...

The abuse of chat services by automated programs, known as chat bots, poses a serious threat to Internet users. Chat bots target popular chat networks to distribute spam and malware. In this paper, we first conduct a series of measurements on a large commercial chat network. Our measurements capture a total of 14 different types of chat bots ranging from simple to advanced. Moreover, we observe...

Bots, social media accounts controlled by software rather than by humans, have recently been under the spotlight for their association with various forms of online manipulation. To date, much work has focused on social bot detection, but little attention has been devoted to the characterization and measurement of the behavior and activity of bots, as opposed to humans’. Over the course of the y...

Social and political bots have a small but strategic role in Venezuelan political conversations. These automated scripts generate content through social media platforms and then interact with people. In this preliminary study on the use of political bots in Venezuela, we analyze the tweeting, following and retweeting patterns for the accounts of prominent Venezuelan politicians and prominent Ve...

Recent progress has seen an explosion in dialog systems, including voice-activated bots, text-based chatbots, and email-based bots for scheduling meetings. However real life interaction with these so-called intelligent agents consistently fall short of expectations. Consequently, this project deploys neural-based bots and rule-based bots across a wide variety of tasks in order to analyze where ...

Bots have been playing a crucial role in online platform ecosystems, as efficient and automatic tools to generate content and diffuse information to the social media human population. In this chapter, we will discuss the role of social bots in content spreading dynamics in social media. In particular, we will first investigate some differences between diffusion dynamics of content generated by ...

This paper gives an overview of impersonation bots that generate output in one or possibly, multiple modalities. We also discuss rapidly advancing areas of machine learning and artificial intelligence that could lead to frighteningly powerful new multi-modal social bots. Our main conclusion is that most commonly known bots are one dimensional (i.e., chatterbot), and far from deceiving serious i...