Improvised Cyber Crime Investigation Model

2016 ◽  
pp. 743-751 ◽  
Author(s):  
Ajeet Singh Poonia ◽  
C. Banerjee ◽  
Arpita Banerjee
Keyword(s):  
Cyber Crime ◽  
Crime Investigation

Cyber Criminal Profiling

2020 ◽  
pp. 144-163
Author(s):  
Mohammed S. Gadelrab ◽  
Ali A. Ghorbani
Keyword(s):  
Cyber Crime ◽  
Criminal Profiling ◽  
Crime Investigation ◽  
The Future ◽  
Networking Technologies ◽  
Cyber Crimes ◽  
Future Work ◽  
Traditional Counterpart ◽  
The Way

New computing and networking technologies have not only changed the way traditional crimes are committed but also introduced completely brand new “cyber” crimes. Cyber crime investigation and forensics is relatively a new field that can benefit from methods and tools from its predecessor, the traditional counterpart. This chapter explains the problem of cyber criminal profiling and why it differs from ordinary criminal profiling. It tries to provide an overview of the problem and the current approaches combined with a suggested solution. It also discusses some serious challenges that should be addressed to be able to produce reliable results and it finally presents some ideas for the future work.

Data Mining Analytics for Crime Security Investigation and Intrusion Detection

2016 ◽  
pp. 212-244
Author(s):  
Boutheina Fessi ◽  
Yacine Djemaiel ◽  
Noureddine Boudriga
Keyword(s):  
Data Mining ◽  
Dynamic Environments ◽  
Future Research ◽  
Cyber Crime ◽  
Research Directions ◽  
Data Mining Techniques ◽  
Crime Investigation ◽  
Security Investigation ◽  
Future Research Directions ◽  
Digital Investigation

This chapter provides a review about the usefulness of applying data mining techniques to detect intrusion within dynamic environments and its contribution in digital investigation. Numerous applications and models are described based on data mining analytics. The chapter addresses also different requirements that should be fulfilled to efficiently perform cyber-crime investigation based on data mining analytics. It states, at the end, future research directions related to cyber-crime investigation that could be investigated and presents new trends of data mining techniques that deal with big data to detect attacks.

A Cyber Crime Investigation Model Based on Case Characteristics

2017 ◽  
Vol 9 (4) ◽  
pp. 40-47
Author(s):  
Zhi Jun Liu
Keyword(s):  
Case Analysis ◽  
Digital Evidence ◽  
Cyber Crime ◽  
Legal Requirements ◽  
Model Based ◽  
Early Stages ◽  
Investigation Area ◽  
Crime Investigation ◽  
Digital Investigation ◽  
Case Characteristics

In the early stages of the digital investigation of cyber crime, digital evidence is inadequate, decentralized and fragmented. Cyber crime investigation model based on case characteristics is presented in this paper, to help determine investigation orientation and reduce investigation area. Firstly, purifying and filtering the digital evidence collected, classification and acquirement of event sets are accomplished. Secondly, a method of imperfect induction is applied to analyze the event sets and construct one or more premises, and combining with the case characteristics extracted from the legal requirements, inference and its reliability are given. Finally, through a case analysis of network pyramid sales, the initial practice shows the model is feasible and has a consulting value with cyber crime investigation.

Data Mining Analytics for Crime Security Investigation and Intrusion Detection

2020 ◽  
pp. 700-725
Author(s):  
Boutheina A. Fessi ◽  
Yacine Djemaiel ◽  
Noureddine Boudriga
Keyword(s):  
Data Mining ◽  
Dynamic Environments ◽  
Future Research ◽  
Cyber Crime ◽  
Research Directions ◽  
Data Mining Techniques ◽  
Crime Investigation ◽  
Security Investigation ◽  
Future Research Directions ◽  
Digital Investigation

This chapter provides a review about the usefulness of applying data mining techniques to detect intrusion within dynamic environments and its contribution in digital investigation. Numerous applications and models are described based on data mining analytics. The chapter addresses also different requirements that should be fulfilled to efficiently perform cyber-crime investigation based on data mining analytics. It states, at the end, future research directions related to cyber-crime investigation that could be investigated and presents new trends of data mining techniques that deal with big data to detect attacks.

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