We propose a detection mechanism that takes the advantage of virtualized environment and combines both passive and active detection approaches for detecting bot malware. Our proposed passive detection agent lies in the virtual machine monitor to profile the bot behavior and check against it with other hosts. The proposed active detection agent that performs active bot fingerprinting can send sp...

This paper presents a new robotic concept, called SWARM-BOT, based on a swarm of autonomous mobile robots with self-assembling capabilities. SWARM-BOT takes advantage from collective and distributed approaches to ensure robustness to failures and to hard environment conditions in tasks such as navigation, search and transportation in rough terrain. One SWARM-BOT is composed of a number of simpl...

Private provision of public roads through build-operate-transfer (BOT) contracts is increasing around the world. Under a BOT contract, a private firm would build a road, charge tolls to road users for a period, and then transfer the road to the government. By viewing a BOT contract as a combination of three variables of concession period, road capacity and toll charge, we study optimal BOT cont...

In this paper, we propose XG-BoT, an explainable deep graph neural network model for botnet node detection. The proposed comprises a detector and explainer automatic forensics. XG-BoT can effectively detect malicious nodes in large-scale networks. Specifically, it utilizes grouped reversible residual connection with isomorphism to learn expressive representations from communication graphs. expl...

First person shooters is probably the most well known genre of the whole gaming industry. Bots in those games must think and act fast in order to be competitive and fun to play with. Key part of the action in a first person shooter is the choice of the right weapon according to the situation. In this paper, we propose a weapon selection technique in order to produce competent agents in the firs...

Botnets are one of the most serious and widespread cyber threats. Today botnets have been facilitating many cybercrimes, especially financial, top secret thefts. Botnets can be available for lease in the market and are utilized by the cybercriminals to launch massive attacks like DDoS, click fraud, phishing attacks etc., Several large institutions, hospitals, banks, government organizations and...

Voice over IP (VoIP) introduces new ways of communication, while utilizing existing data networks to provide inexpensive voice communications worldwide as a promising alternative to the traditional PSTN telephony. SPam over Internet Telephony (SPIT) is one potential source of future annoyance in VoIP. A common way to launch a SPIT attack is the use of an automated procedure (bot), which generat...

Bots are, for many Web and social media users, the source of many dangerous attacks or the carrier of unwanted messages, such as spam. Nevertheless, crawlers and software agents are a precious tool for analysts, and they are continuously executed to collect data or to test distributed applications. However, no one knows which is the real potential of a bot whose purpose is to control a communit...

Social networks are intensively used nowadays for both leisure and work. They have become a natural communication mechanism which helps users in coordinating and collaborating in their daily life activities. To profit from their pervasive use, we propose SOCIO: a modelling assistant that seamlessly integrates across several social networks, like Telegram or Twitter. SOCIO is a modelling bot tha...

In various situations, there are times when a person is unable to physically check or provide assistance, leaving specific action undone. However, with the use of robots, such issues can be resolved, and lives saved. To address this need, we have proposed development surveillance robot that stream real-time videos, transfer audio, navigate around obstacles. Our aim design system allows us wirel...