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Volumn , Issue , 2011, Pages 27-32

Location based power analysis to detect malicious code in smartphones

Author keywords

location; malware detection; power analysis; smartphones

Indexed keywords

LOCATION BASED; MALICIOUS CODES; MALWARE DETECTION; POWER ANALYSIS; PRELIMINARY ANALYSIS; SMARTPHONES; STRONG CORRELATION; USER LOCATION;

EID: 80755181016     PISSN: 15437221     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2046614.2046620     Document Type: Conference Paper
Times cited : (27)

References (9)
  • 1
  • 6
    • 78650885484 scopus 로고    scopus 로고
    • SensLoc: Sensing everyday places and paths using less energy
    • D. H. Kim, Y. Kim, D. Estrin, and M. B. Srivastava. SensLoc: Sensing everyday places and paths using less energy. In ACM SenSys, 2010.
    • (2010) ACM SenSys
    • Kim, D.H.1    Kim, Y.2    Estrin, D.3    Srivastava, M.B.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.