Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/308347
Title: Effective modelling and analysis of complex network for predicting covert organizational structures
Researcher: Kiruthiga A
Guide(s): bBose S
Keywords: Engineering and Technology
Computer Science
Computer Science Information Systems
predicting covert
complex network
University: Anna University
Completed Date: 2019
Abstract: Covert Networks are social networks with many secret elements in it. The networks formed by terrorists to achieve their target. Terrorism is a major threat to humanity over centuries and the governments of countries around the world strive hard to prevent terrorist attacks in every possible way. It is very much primary to understand how covert networks work before attempting to prevent their attack, since incorrect attempts to destroy the enemy, makes the enemy even more stronger than before. To understand how covert networks form and to understand elements of its structure, complex network phenomenon and Social Network Analysis (SNA) are used as tools. A network with non-trivial topological features and with patterns of connectivity between random and regular pattern is called as complex network. Complex Network Theory allows to mathematically model the complex organizational structures and real world networks are analysed to understand the properties underlying them. By modelling real-world networks as complex networks, graph theoretic metrics can be applied on real-world networks to analyze their characteristics. From real-world theoretical models, simulated networks can be generated and it can be compared with real-world networks for validation. In this research work, covert networks are modeled, simulated and analyzed using complex network theory to get a better insight into the covert networks and the simulated networks are compared with the real-world covert network instances. The proposed Covert Organizational Structure Investigator (COSI) system Identifies, Models and Analyzes the covert organizational structures using Complex Network Theory and Graph modelling newline
Pagination: xxiii, 193p.
URI: http://hdl.handle.net/10603/308347
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File80.1 kBAdobe PDFView/Open
02_certificates.pdf411.34 kBAdobe PDFView/Open
03_abstracts.pdf65.48 kBAdobe PDFView/Open
04_acknowledgements.pdf63.57 kBAdobe PDFView/Open
05_contents.pdf80.31 kBAdobe PDFView/Open
06_listofabbreviations.pdf132.56 kBAdobe PDFView/Open
07_chapter1.pdf99.52 kBAdobe PDFView/Open
08_chapter2.pdf99.58 kBAdobe PDFView/Open
09_chapter3.pdf102.96 kBAdobe PDFView/Open
10_chapter4.pdf257.53 kBAdobe PDFView/Open
11_chapter5.pdf372.79 kBAdobe PDFView/Open
12_chapter6.pdf674.52 kBAdobe PDFView/Open
13_chapter7.pdf491.74 kBAdobe PDFView/Open
14_chapter8.pdf380.67 kBAdobe PDFView/Open
15_conclusion.pdf74.29 kBAdobe PDFView/Open
16_references.pdf86.31 kBAdobe PDFView/Open
17_listofpublications.pdf65.9 kBAdobe PDFView/Open
80_recommendation.pdf82.17 kBAdobe PDFView/Open


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