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Knowledge Discovery in Cyberspace: Statistical Analysis and Predictive Modeling $82.00
Editors: Kristijan Kuk and Dragan Ranđelović (Academy of Criminalistic and Police Studies, Belgrade, Serbia)
Book Description:
This book is a practical handbook of research on dealing with mathematical methods in crime prevention for special agents, and discusses their capabilities and benefits that stem from integrating statistical analysis and predictive modeling. It consists of a current collection of research with contributions by authors from different nations in different disciplines. After reading this book, the reader should be able to understand the fundamental nature of cyberspace; understand the role of cyber-attacks; learn analytical techniques and the challenges of predicting events; learn how languages and culture are influenced by cyberspace; and learn techniques of the cyberspace public opinion detection and tracking process. Understanding cyberspace is the key to defending against digital attacks. This book takes a global perspective, examining the skills needed to collect and analyze event information and perform threat or target analysis duties in an effort to identify sources for signs of compromise, unauthorized activity and poor security practices. The ability to understand and react to events in cyberspace in a timely and appropriate manner will be key to future success. Most of the collections are research-based practices that have been done throughout the years.

The authors hope that the presented work will be of great use to police investigators and cyber special agents interested in predictive analytics. (Imprint: Novinka)

Book Review

C2C Digital Magazine - Reviewed by Shalin Hai-Jew, instructional designer at Kansas State University, USA

Table of Contents:

Chapter 1. Computer-Based Data Analysis Techniques: The Potential Application to Crime Investigation in Cyber Space
(Darko Marinković and Turhan Civelek, Department of Criminalistics, Academy of Criminalistic and Police Studies, Belgrade, Serbia, Software Engineering Department, Kırklareli, Turkey)

Chapter 2. Spatial Data Visualization as a Tool for Analytical Support of Police Work
(Nenad Milić, Brankica Popović,Venezija Ilijazi and Erzen Ilijazi, Department of Criminalistics, Department of Informatics and Computer Sciences, Academy of Criminalistic and Police Studies, and Sector for Analyitics and ICT, Ministry of Interior of the Republic of Serbia, Belgrade, Serbia, Department of Management Office of Information and Communications Technology, United Nations, New York, USA)

Chapter 3. Cybercrime Influence on Personal, National and International Security While Using the Internet
(Igor Cvetanoski, Jugoslav Achkoski, Dejan Rančić and Rumen Stainov, Military Academy “General Mihailo Apostolski”, Skopje, Macedonia, Department for Computer Science, Faculty of Electronic Engineering, Niš, Serbia, Fulda University of Applied Sciences, Fulda, Germany)

Chapter 4. Some Aspects of the Application of Benford's Law in the Analysis of the Data Set Anomalies
(Dušan Joksimović, Goranka Knežević, Vladan Pavlović, Marijana Ljubić and Vladimír Surový, Forensics Department, Academy of Criminalistic and Police Studies, Singidunum University and Faculty of Business Studies, John Naisbitt University, Belgrade, Serbia, Faculty of Economics, University of Priština, K.Mitrovica, Serbia, Faculty of Economic Informatics, University of Economics, Bratislava, Slovakia)

Chapter 5. Behaviour and Attitudes vs. Privacy Concerns of Social Online Networks
(Gordana Savić and Marija Kuzmanović, Department of Operations Research and Statistics, Faculty of Organizational Sciences, Belgrade, Serbia)

Chapter 6. Information Retrieval and Development of Conceptual Schemas in E-Documents for Serbian Criminal Code
(Vojkan Nikolić, Predrag Djikanović and Slobodan Nedeljković, Telecommunication and Information Technology (SATIT), Ministry of Internal Affairs of the Republic of Serbia, Belgrade, Serbia)

Chapter 7. Development of the Android - Based Secure Communication Device
(Aleksandar Jevremović, Mladen Veinović, Goran Šimić, Nikola Savanović and Dragan Ranđelović, Singidunum University, Military Academy and Department of Informatics and Computer Sciences, Academy of Criminalistic and Police Studies, Belgrade, Serbia)


      Cybercrime and Cybersecurity Research
   Binding: ebook
   Pub. Date: 2017
   Pages: 6x9 - (NBC-C)
   ISBN: 978-1-53610-570-4
   Status: AV
Status Code Description
AN Announcing
FM Formatting
PP Page Proofs
FP Final Production
EP Editorial Production
PR At Prepress
AP At Press
AV Available
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Knowledge Discovery in Cyberspace: Statistical Analysis and Predictive Modeling