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Bank Web Sites Phishing Detection and Notification System Based on Semantic Web technologies

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJSIA) 바로가기
  • 간행물
    International Journal of Security and Its Applications SCOPUS 바로가기
  • 통권
    Vol.6 No.4 (2012.10)바로가기
  • 페이지
    pp.53-66
  • 저자
    Faisal Alkhateeb, Ahmed M. Manasrah, Abed Al Raoof Bsoul
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A210918

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원문정보

초록

영어
Phishing is an online theft of sensitive information that swindles innocent users into disclosing private information such as user names, passwords, and credit card numbers. The reported number of phishing attacks is growing daily, hence, the loss of the resulting damages are escalating. As a result, there is an urgent need for anti-phishing solutions that is arisen by researchers as well as the IT industry worldwide. Although a number of solutions to mitigate phishing attacks have been proposed, yet they still suffer from high false positive and negative results as well as questioning the feasibility of their implementation. In this work, we propose a system for client-side defenses such as browser plug-ins and classification techniques that are adopted in such detection scenarios. The system inspects the HTML pages as an annotated document represented or embedded in XHTML format using RDF annotations. While the proposed solution has been tested using real sites acquired from the World Wide Web and government agencies concerned on the problem , the method has a better detection accuracy that reaches 96% while false positive rate decreased to 4%. The results show a promising findings in the area of phishing detection that requires hand-in-hand collaboration between various banking branches and the country’s central or authorized bank. Additionally, the system notifies the corresponding bank about the phishing web sites, and the bank in turn notifies its clients.

목차

Abstract
 1. Introduction
 2. Preliminaries
  2.1 RDF
  2.2 SPARQL
 3. RDF-Based Phishing Detection System
  3.1 System components
  3.2 System work ow
  3.3 Case study
 4. Types of Phishing Attacks
 5. Testing and Evaluation Results
 6. RelatedWork
 7. Conclusion
 References

키워드

Phishing RDFa RDF SPARQL.

저자

  • Faisal Alkhateeb [ Faculty of Information Technology and Computer Science Yarmouk University Irbid 21163, Jordan. ]
  • Ahmed M. Manasrah [ Faculty of Information Technology and Computer Science Yarmouk University Irbid 21163, Jordan. ]
  • Abed Al Raoof Bsoul [ Faculty of Information Technology and Computer Science Yarmouk University Irbid 21163, Jordan. ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJSIA) [Science & Engineering Research Support Center, Republic of Korea(IJSIA)]
  • 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

  • 간행물명
    International Journal of Security and Its Applications
  • 간기
    격월간
  • pISSN
    1738-9976
  • 수록기간
    2008~2016
  • 등재여부
    SCOPUS
  • 십진분류
    KDC 505 DDC 605

이 권호 내 다른 논문 / International Journal of Security and Its Applications Vol.6 No.4

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