A Real-time Crime Detection System Based on Lawful Interception - A Case Study of MSN Messenger

Chi-Hua Chen*, Wan-Jia Chen, Yao Feng Wang, Chi-Chun Lo

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Scopus citations

Abstract

In recent years, the number of online crimes (e. g., the various emerging scams and criminal schemes) has increased. Online crime suspects utilize the anonymous nature of web to disguise their identity through various methods and evade detection and surveillance from law enforcement agencies. This study proposes an effective lawful interception system, Real-time Crime Detection System (RCDS), which includes Criminal Investigation Bureau (CIB), Internet Service Providers (ISP), and Network Interception Server (NIS) to establish a legally sanctioned lawful interception process which can collect and store evidence for criminal detection in real time. We provide a case study of MSN Messenger to describe the MSN Protocol (MSNP), information flow process, and lawful interception methodologies. The RCDS can provide criminal detection and surveillance services for MSN to obtain criminal communication records in turn reducing online criminal activities. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of [CEIS 2011]
Original languageEnglish
Title of host publicationCEIS 2011
EditorsC Ran, G Yang
Volume15
DOIs
StatePublished - 2011
EventInternational Conference on Advanced in Control Engineering and Information Science (CEIS) - Dali, China
Duration: 18 Aug 201119 Aug 2011

Publication series

NameProcedia Engineering
Volume15
ISSN (Print)1877-7058

Conference

ConferenceInternational Conference on Advanced in Control Engineering and Information Science (CEIS)
CountryChina
CityDali
Period18/08/1119/08/11

Keywords

  • Crime Detection; Lawful Interception; MSN Messenger

Fingerprint Dive into the research topics of 'A Real-time Crime Detection System Based on Lawful Interception - A Case Study of MSN Messenger'. Together they form a unique fingerprint.

Cite this