Bio Inspired computation is the part of Artificial intelligence which was inspired by the biological behaviors of biological systems. Swarm intelligence is the collective behavior of an organized group in day-to-day life. Common examples of swarm intelligence include ant colony, bee colony, etc. and some are non-swarm intelligence like bat algorithm, etc. This study mainly focuses on application areas of various bio inspired computing based swarm and non-swarm intelligence. This review also discusses the newly developed algorithms. Specific application areas of such algorithms have been discussed in this research. This research highlighted the future scope of present algorithms.

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VoIP services are becoming increasingly a big competition to existing telephony services (PSTN). Hence, the need arises to protect VoIP services from all kinds of attacks that target network bandwidth, server capacity or server architectural constrains. SIP Protocol is used for VoIP connection establishment. It works based on either TCP or UDP Protocols. This protocol structure is almost as same as HTTP Protocol, i.e. for every request there will be some response, even though the request is invalid. HTTP Protocol is prone to flooding attacks, like SYN-Flood attack. Because of Session Initiation Protocol (SIP) is same as HTTP, SIP is also prone to Flooding attacks. The proposed Intrusion Detection System (IDS) is used to detect the intruders in telephony system. Genetic algorithm is used to recognize the authorized user. VoIP Flood Detection System (VFDS) is aimed to detect TCP Flooding attacks and SIP Flooding attacks on SIP devices using Jacobian Fast and Hellinger distance algorithms. The Jacobian Fast Algorithm fixes the threshold limit and Hellinger distance calculation is a statistical anomaly based algorithm uses to detect deviation in traffic