Forensic Analysis Technique of Car Black Box
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- 발행기관
- 보안공학연구지원센터(IJSEIA) 바로가기
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- 간행물
- International Journal of Software Engineering and Its Applications SCOPUS 바로가기
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- 통권
- Vol.8 No.11 (2014.11)바로가기
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- 페이지
- pp.1-10
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A235308
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- The ‘Statistics of Disclosed Insurance Fraud in 2013’ by the Korean Financial Supervisory Service reveals that the volume of car insurance frauds has increased by 21% between 2010 and 2012. Car insurance frauds account for 60% in all insurance frauds. Therefore, it is necessary to study forensic evidence data in order to disclose car insurance frauds and to clarify where the responsibility lies. This paper aims to apply forensic technology to car black box analysis in order to clarify where the responsibility lies for car insurance frauds. This study is about the case of deleting the data in a memory in order to conceal insurance fraud evidence data in a block box repository of a vehicle. The forensic technology to be studied is to use Encase v6.0, and forensic investigation tool, to restore deleted evidence data and then to verify originality and integrity in order to ensure evidence data employed in a court. This study will contribute to reducing and preventing car insurance frauds and to developing forensic technology.
목차
Abstract
1. Introduction
2. Relate Studies
2.1. Car Insurance Fraud
2.2. Encase Forensic Technique
2.2. FinalData Forensic Technique
2.3. Car black Box
2.4. Forensic Investigation Tool and its Function for Applying Car Black Box Data
3. Data Seizure and Search on Car Black Box
3.1. Preparation for Seizure and Search of Corporation
3.2. Corporation Data Seizure and Search Implementation Step
3.3. Seized and Searched Data Analysis Step
4. Forensic about the Car Black Box
4.1. Analyzing Method of Storing Data in Car Black Box
4.2. Ensuring Accident Data Originality in Car Black Box
4.3. Verifying Accident Data Integrity with Car Black Box
4.4. Forensic Recovery of Accident Data from Car Black Box
4.4. Writing Forensic Report
5. Conclusion
키워드
black box Mobile security forensic information security저자
간행물 정보
발행기관
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- 발행기관명
- 보안공학연구지원센터(IJSEIA) [Science & Engineering Research Support Center, Republic of Korea(IJSEIA)]
- 설립연도
- 2006
- 분야
- 공학>컴퓨터학
- 소개
- 1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업
간행물
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- 간행물명
- International Journal of Software Engineering and Its Applications
- 간기
- 월간
- pISSN
- 1738-9984
- 수록기간
- 2008~2016
- 등재여부
- SCOPUS
- 십진분류
- KDC 505 DDC 605
이 권호 내 다른 논문 / International Journal of Software Engineering and Its Applications Vol.8 No.11
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