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Volumn , Issue , 2011, Pages 1516-1523

Improved call graph comparison using simulated annealing

Author keywords

call graph; graph edit distance; malware; simulated annealing; static analysis

Indexed keywords

ANTI VIRUS; CALL GRAPHS; EXECUTABLES; EXECUTION TIME; GRAPH EDIT DISTANCE; MALWARES; PROBLEM SIZE; SOLUTION QUALITY;

EID: 79959288642     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1982185.1982509     Document Type: Conference Paper
Times cited : (38)

References (24)
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    • A binary linear programming formulation of the graph edit distance
    • DOI 10.1109/TPAMI.2006.152
    • D. Justice and A. Hero. A binary linear programming formulation of the graph edit distance. IEEE Transactions on Pattern Analysis and Machine Intelligence, 28:1200-1214, 2006. (Pubitemid 46405019)
    • (2006) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.28 , Issue.8 , pp. 1200-1214
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  • 15
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    • Optimization by simulated annealing
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    • Kirkpatrick, S.1    Gelatt Jr., C.2    Vecchi, M.3
  • 18
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    • Fast suboptimal algorithms for the computation of graph edit distance
    • Structural, Syntactic, and Statistical Pattern Recognition. Springer, 2006
    • M. Neuhaus, K. Riesen, and H. Bunke. Fast suboptimal algorithms for the computation of graph edit distance. In Structural, Syntactic, and Statistical Pattern Recognition. LNCS, volume 4109/2006, pages 163-172. Springer, 2006.
    • (2006) LNCS , vol.4109 , pp. 163-172
    • Neuhaus, M.1    Riesen, K.2    Bunke, H.3
  • 19
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    • (2009) Image and Vision Computing , vol.27 , Issue.7 , pp. 950-959
    • Riesen, K.1    Bunke, H.2
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    • Using anytime algorithms in intelligent systems
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    • (1996) AI Magazine , vol.17 , Issue.3 , pp. 73
    • Zilberstein, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.