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Round-robin DNS is a technique of load distribution, load balancing, or fault-tolerance provisioning multiple, redundant Internet Protocol service hosts, e.g., Web server, FTP servers, by managing the Domain Name System's (DNS) responses to address requests from client computers according to an appropriate statistical model.
A fast-flux service network (FFSN) is a network infrastructure resultant of the fast-fluxed network of compromised hosts; the technique is also used by legitimate service providers such as content distribution networks (CDNs) where the dynamic IP address is converted to match the domain name of the internet host, usually for the purpose of load balancing using round-robin domain name system ...
Cfengine – 'cfenvd' can be utilized to do 'anomaly detection' Change detection; DNS analytics; Hogzilla IDS – is a free software (GPL) anomaly-based intrusion detection system. RRDtool – can be configured to flag anomalies; Sqrrl – threat hunting based on NetFlow and other collected data [6]
Network behavior anomaly detection (NBAD) is a security technique that provides network security threat detection. It is a complementary technology to systems that detect security threats based on packet signatures. [1] NBAD is the continuous monitoring of a network for unusual events or trends.
Anomaly detection finds application in many domains including cybersecurity, medicine, machine vision, statistics, neuroscience, law enforcement and financial fraud to name only a few. Anomalies were initially searched for clear rejection or omission from the data to aid statistical analysis, for example to compute the mean or standard deviation.
Dnsmasq is a lightweight, easy to configure DNS forwarder, designed to provide DNS (and optionally DHCP and TFTP) services to a small-scale network. It can serve the names of local machines which are not in the global DNS. Dnsmasq accepts DNS queries and either answers them from a small, local cache or forwards them to a real, recursive DNS server.
An intrusion detection system (IDS) is a device or software application that monitors a network or systems for malicious activity or policy violations. [1] Any intrusion activity or violation is typically either reported to an administrator or collected centrally using a security information and event management (SIEM) system.
Isolation Forest is an algorithm for data anomaly detection using binary trees.It was developed by Fei Tony Liu in 2008. [1] It has a linear time complexity and a low memory use, which works well for high-volume data.