… This Section presents the DeepDCA model for the automate DCA data pre-processing phase…
A comparative analysis of machine learning techniques for botnet detection. In Proceedings …

… In this paper, an efficient botnet detection system is proposed for detecting the P2P botnet. …
Dendritic Cell Algorithm (DCA), the proposed VM based botnet detection system has minimal …

… Detecting and controlling traffic of bots is an important issue to … cells algorithm(DCA)[13] to
detect P2P bots on the infected … of the improved DCA method (IDCA) for detecting bots in a …

… of the DCA algorithm to cover the detection of malicious TCP port … of the DCA algorithm used
in the Port scanning detection. … Bot detection [21] where the value of MCAV is 0.82, 0.113 to …

… (DCA) [15]. Our proposed DoS detection scheme follows the DT model (using the DCA). …
Dendritic Cell Algorithm (DCA) to detect the existence of a single DDoS bot on a compromised …

… any subsequent mentions of the DCA are related to its deterministic version. The DCA has
three phases, namely feature selection, detection and context assessment, and classification. …

… DCA will offer online detection and by adding segmentation we succeed to improve the
detection … Researchers showed that a single bot could be detected from the normal processes on …

… —Detecting bots is an important goal for most website admins. In this paper, we propose a
novel machine learning bot detection … has been used before for bot detection, most existing …

… We have evaluated the Bot detection engine with a test data set consisting 45 Bot samples
(35 IRC Bots and 10 HTTP Bots) and 68 non-Bot samples (comprising of other malware such …

… detect anomalies in financial stock market datasets. This paper introduces a hybrid algorithm
that combines the DCA … , the DCA approach detects P2P bots for network security. They …