Network-based IDS

Random Picks

• Outlier Detection: Outlier detection is the process of identifying data points that deviate significantly from other observations in a dataset. In data science, outlier detection is used to identify anomalies that may be indicative of errors in data collectio ... Read More >>
• Intrusion Detection And Prevention: Intrusion Detection and Prevention (IDP) is a security technology that monitors network traffic for signs of malicious activity and takes action to prevent it. IDP systems use a combination of signature-based and behavior-based detection me ... Read More >>
• Worms: Worms refer to a type of malware that replicates itself in order to spread to other computers and networks. In the context of data science and artificial intelligence, worms can be used to collect and transmit data from infected machines to ... Read More >>