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Volumn , Issue , 2011, Pages

Twitter in disaster mode: Security architecture

Author keywords

[No Author keywords available]

Indexed keywords

ANTI-SPAM; DELAY TOLERANT; EMPIRICAL PERFORMANCE; NATURAL DISASTERS; NORMAL MODES; OPEN SOURCES; OPPORTUNISTIC COMMUNICATIONS; SECURITY ARCHITECTURE;

EID: 84855650671     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2079360.2079367     Document Type: Conference Paper
Times cited : (28)

References (13)
  • 1
    • 84855709574 scopus 로고    scopus 로고
    • A. Chowdhury, "Global pulse,"http://blog.twitter.com/2011/06/ global-pulse.html, 2011.
    • (2011) Global Pulse
    • Chowdhury, A.1
  • 4
    • 24944578669 scopus 로고    scopus 로고
    • A message ferrying approach for data delivery in sparse mobile ad hoc networks
    • W. Zhao, M. Ammar, and E. Zegura, "A message ferrying approach for data delivery in sparse mobile ad hoc networks," in ACM MobiHoc, 2004.
    • (2004) ACM MobiHoc
    • Zhao, W.1    Ammar, M.2    Zegura, E.3
  • 5
  • 6
    • 84855715362 scopus 로고    scopus 로고
    • [Online]. Available
    • PodNet Project. [Online]. Available: http://www.podnet.ee.ethz.ch/
  • 7
    • 84900443149 scopus 로고    scopus 로고
    • Twitter in disaster mode: Opportunistic communication and distribution of sensor data in emergencies
    • T. Hossmann, F. Legendre, P. Carta, P. Gunningberg, and C. Rohner, "Twitter in disaster mode: Opportunistic communication and distribution of sensor data in emergencies," in ExtremeCom, 2011.
    • (2011) ExtremeCom
    • Hossmann, T.1    Legendre, F.2    Carta, P.3    Gunningberg, P.4    Rohner, C.5
  • 9
    • 77953316363 scopus 로고    scopus 로고
    • Know thy neighbor: Towards optimal mapping of contacts to social graphs for DTN routing
    • T. Hossmann, T. Spyropoulos, and F. Legendre, "Know thy neighbor: Towards optimal mapping of contacts to social graphs for DTN routing," in IEEE Infocom, 2010.
    • (2010) IEEE Infocom
    • Hossmann, T.1    Spyropoulos, T.2    Legendre, F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.