• Title/Summary/Keyword: Bidrectional RNN

Search Result 1, Processing Time 0.014 seconds

Extraction Scheme of Function Information in Stripped Binaries using LSTM (스트립된 바이너리에서 LSTM을 이용한 함수정보 추출 기법)

  • Chang, Duhyeuk;Kim, Seon-Min;Heo, Junyoung
    • Journal of Software Assessment and Valuation
    • /
    • v.17 no.2
    • /
    • pp.39-46
    • /
    • 2021
  • To analyze and defend malware codes, reverse engineering is used as identify function location information. However, the stripped binary is not easy to find information such as function location because function symbol information is removed. To solve this problem, there are various binary analysis tools such as BAP and BitBlaze IDA Pro, but they are based on heuristics method, so they do not perform well in general. In this paper, we propose a technique to extract function information using LSTM-based models by applying algorithms of N-byte method that is extracted binaries corresponding to reverse assembling instruments in a recursive descent method. Through experiments, the proposed techniques were superior to the existing techniques in terms of time and accuracy.