Title : Some studies on artificial immune system and its applications

Type of Material: Thesis
Title: Some studies on artificial immune system and its applications
Researcher: Dash, Sanghamitra
Guide: Mishra, Rabindra Kishore
Department: Department of Electronic Sciences
Publisher: Berhampur University, Berhampur
Place: Berhampur
Year: 2017
Language: English
Subject: Computer Science
Computer Science Artificial Intelligence
Engineering and Technology
Electronic Science
Physical and Basic Sciences
Dissertation/Thesis Note: PhD; Department of Electronic Sciences, Berhampur University, Berhampur, Berhampur; 2017
Fulltext: Shodhganga

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035__|a(IN-AhILN)th_464351
040__|dIN-AhILN|aBRMP_760007
041__|aeng
100__|eResearcher|aDash, Sanghamitra
110__|aDepartment of Electronic Sciences|0U-0350|dBerhampur|bBerhampur University, Berhampur|ein
245__|aSome studies on artificial immune system and its applications
260__|aBerhampur|c2017|bBerhampur University, Berhampur
300__|a131p.|dDVD
502__|cDepartment of Electronic Sciences, Berhampur University, Berhampur, Berhampur|d2017|bPhD
518__|oDate of Award|d2019
518__|d2008|oDate of Registration
518__|oDate of Completion|d2017
520__|aThe immune system is highly distributed, adaptive, self-organising in nature, maintains a memory of past encounters and has the ability to continually learn about new encounters. From an Information Communication Technology(ICT) perspective, the immune system is a highly recommended intelligent system. Based on immunological principles, new computational techniques are being developed, aiming not only at a better understanding of the system, but also at solving different problems. The literature survey explores the salient features of the immune system that are inspiring to scientists and engineers to build Artificial Immune Systems (AIS). An extensive survey of applications is presented, ranging from network security to optimisation and machine learning.This thesis focuses on the combination of a set of AIS based algorithms and their application to the healthcare system, intrusion detection and anomaly detection systems. In this research, we used AIS classification algorithms like: CLONALG, CSCA, AIRS1, AI
650__|aElectronic Science|2UGC
650__|aPhysical and Basic Sciences|2AIU
653__|aComputer Science
653__|aComputer Science Artificial Intelligence
653__|aEngineering and Technology
700__|aMishra, Rabindra Kishore|eGuide
856__|uhttp://shodhganga.inflibnet.ac.in/handle/10603/472133|yShodhganga
905__|afromsg

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