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Volumn 68, Issue 1 2, 2003, Pages 171011-171014

Information flow dynamics and timing patterns in the arrival of email viruses

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; ELECTRONIC MAIL; INTERNET; PROBABILITY DENSITY FUNCTION;

EID: 16344367818     PISSN: 1063651X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (13)

References (25)
  • 13
    • 33645062223 scopus 로고    scopus 로고
    • MessageLabs Ltd. (Head Office), Gloucester, GL3 4AB United Kingdom
    • MessageLabs Ltd. (Head Office), Gloucester, GL3 4AB United Kingdom.
  • 14
    • 33645063022 scopus 로고    scopus 로고
    • Computer Associates Virus Information Center, http:// www3.ca.com/Virus
  • 15
    • 33645077399 scopus 로고    scopus 로고
    • Network Associates Virus Information Library, http://vil.nai.com/vil
  • 18
    • 0003586464 scopus 로고
    • Plenum, New York
    • J. Feder, Fractals (Plenum, New York, 1988).
    • (1988) Fractals
    • Feder, J.1
  • 25
    • 33645062492 scopus 로고    scopus 로고
    • note
    • We assume that only one unit transmits viruses at a time so that the arrivals of the viruses from different units do not overlap, which would greatly complicate the computation of P(t). This assumption may also have some reality in how the Internet functions and the model that it allows us to compute may also serve as a first useful step towards more complex models. We also note that our assumption here of consecutively active, nonoverlapping sources is the opposite of the limiting case analyzed by Willinger et al., [24] who studied a large number of uncorrelated, overlapping sources.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.