簡訊犯罪資料探勘與防範措施之研究

 

A Study on Data Mining and Precaution for the Crimes of Mobile Phone Short Message Services

賴森堂

屏東商業技術學院資訊科技系

屏東市900民生東路51

stlai@npic.edu.tw

 

林宜隆

中央警察大學資訊管理學系

桃園縣龜山鄉333大崗村樹人路56

illin@www.im.cpu.edu.tw

 

摘要

高普及率的行動電話儼然已成為無線通訊E世代不可或缺的通訊工具,各種加諸在行動電話的服務項目更是不斷被推出,手機簡訊(Short Message ServiceSMS)就是透過文字以行動電話即時傳遞訊息的一項服務。行動電話具備高度機動性且使用人數眾多,使得簡訊傳輸服務不僅廣受歡迎且造成非常熱烈的迴響,不過,卻也成為詐騙集團的犯罪工具。利用行動電話簡訊進行犯罪的行為有愈來愈多的趨勢,如何有效嚇阻且打擊簡訊犯罪以維護社會秩序是刻不容緩的工作。本文針對行動電話簡訊犯罪的行為進行瞭解與剖析,且深入探討簡訊犯罪過程中所留下的犯罪資料進而整合犯罪資料的搜尋、擷取、解譯、推導、篩選、分類、統計與分析等功能,提出一套行動電話簡訊犯罪資料探勘模式,以具體提昇行動電話簡訊犯罪偵查作業的執行效率與品質。有計畫的簡訊犯罪,歹徒會事先規劃犯罪行為與資料的掩飾工作,造成犯罪偵查的一大阻礙,為此,本文從行動電話的門號申請、簡訊傳送監控及銀行匯款監控等作業提出一套簡訊犯罪的防範措施,以具體且有效的打擊行動電話簡訊犯罪的行為

關鍵詞:簡訊犯罪、資料探勘、防範措施、行動電話、通聯紀錄。

Abstract

Short Message Service (SMS) is a service of mobile phone which can transmit the text message in real time. High mobility and high universality are two major features of mobile phone that make SMS become a very popular transmission service. However, the evil fellows use SMS to cheat for money. The crime behavior of SMS is more and more serious. How to terminate or prevent the crime of SMS, become an important issue for improving public security. In this paper, the crime behavior of SMS will be surveyed and analyzed. Characteristics and procedure of SMS crime will be discussed and studied. And, a data mining model for the SMS crime which integrates searching, retrieval, interpretation, deduction, selection, classification, statistic and analysis functions will be proposed. Applying the crime detective data which produce by the data mining model, the efficiency and quality of SMS crime detective operations can be improved. On the other hand, SMS crime with perfect plan, the evil fellows will be beforehand with covering their crime data and behavior. For this, the precaution of SMS crime that includes mobile phone application, SMS transmission monitoring and bank account remittance monitoring will be proposed in this paper. Based on the precaution of SMS crime, the SMS crime can be prevented and reduced.

 

Keywords: SMS, data mining, precaution, mobile phone, call records