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Volumn , Issue , 2012, Pages

Safeguarding academic accounts and resources with the University Credential Abuse Auditing System

Author keywords

authentication; compromised account; university; Virtual Private Network (VPN)

Indexed keywords

ACADEMIC INSTITUTIONS; AUDITING SYSTEMS; COMPROMISED ACCOUNT; FALSE POSITIVE; FINANCIAL GAINS; MALWARES; ONLINE IDENTITY; PHISHING; RESEARCH UNIVERSITIES; UNIVERSITY;

EID: 84866697061     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DSN.2012.6263961     Document Type: Conference Paper
Times cited : (12)

References (23)
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    • Anti-Phishing Working Group, "Phishing activity trends report," http://www.antiphishing.org/phishReportsArchive.html, 2010.
    • (2010) Phishing Activity Trends Report
  • 5
    • 0042421807 scopus 로고    scopus 로고
    • Statistical fraud detection: A review
    • R. J. Bolton and D. J. H, "Statistical fraud detection: A review," Statistical Science, vol. 17, pp. 235-249, 2002.
    • (2002) Statistical Science , vol.17 , pp. 235-249
    • Bolton, R.J.1    H, D.J.2
  • 8
    • 84866660291 scopus 로고    scopus 로고
    • MaxMind. http://www.maxmind.com/app/ip-location, 2011.
    • (2011)
  • 12
    • 67349218861 scopus 로고    scopus 로고
    • Credit card fraud detection: A fusion approach using dempster-shafer theory and Bayesian learning
    • Oct.
    • S. Panigrahi, A. Kundu, S. Sural, and A. K. Majumdar, "Credit card fraud detection: A fusion approach using Dempster-Shafer theory and Bayesian learning," Inf. Fusion, vol. 10, pp. 354-363, Oct. 2009.
    • (2009) Inf. Fusion , vol.10 , pp. 354-363
    • Panigrahi, S.1    Kundu, A.2    Sural, S.3    Majumdar, A.K.4
  • 14
    • 34548577511 scopus 로고    scopus 로고
    • An empirical bayes approach to detect anomalies in dynamic multidimensional arrays
    • IEEE Computer Society
    • D. Agarwal, "An empirical Bayes approach to detect anomalies in dynamic multidimensional arrays," in Proc. of the Fifth IEEE International Conference on Data Mining. IEEE Computer Society, 2005, pp. 26-33.
    • (2005) Proc. of the Fifth IEEE International Conference on Data Mining , pp. 26-33
    • Agarwal, D.1
  • 16
    • 29144443664 scopus 로고    scopus 로고
    • Minority report in fraud detection: Classification of skewed data
    • C. Phua, D. Alahakoon, and V. Lee, "Minority report in fraud detection: Classification of skewed data," SIGKDD Explor. Newsl., vol. 6, no. 1, pp. 50-59, 2004.
    • (2004) SIGKDD Explor. Newsl. , vol.6 , Issue.1 , pp. 50-59
    • Phua, C.1    Alahakoon, D.2    Lee, V.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.