MemPick: High-level data structure detection in C/C++ binaries

اسناد مشابه

• An Implementation of FP-Growth Algorithm Based on High Level Data Structures of Weka-JUNG Framework

  سند علمی۲۰۱۰JCITShui Wang, Le Wang

  FP-Growth is a classical data mining algorithm; most of its current implementations are based on programming language's primitive data types for their data structures; this leads to poor readability & reusability of the codes. Weka is an open source platform for data mining, but

• Automatic Reverse Engineering of Data Structures from Binary Execution

  سند علمی۲۰۱۰NDSSZhiqiang Lin, Xiangyu Zhang, Dongyan Xu

  With only the binary executable of a program, it is useful to discover the program’s data structures and infer their syntactic and semantic definitions. Such knowledge is highly valuable in a variety of security and forensic applications. Although there exist efforts in program d

• High Capacity Data Hiding in Binary Document Images

  سند علمی۲۰۰۹IWDWNiladri B. Puhan, Anthony Tung Shuen Ho, Farook Sattar

  In this paper, we propose a high capacity data hiding method in binary document images towards semi-fragile authentication. Achieving high capacity in binary images with strict imperceptibility criterion is found to be a difficult task. In this method, noise type pixels are selec

• Using high-level information to detect key audio events in a tennis game

  سند علمی۲۰۱۰INTERSPEECHQiang Huang, Stephen J. Cox

  This paper describes how the detection of key audio events in a sports game (tennis) can be enhanced by the use of high-level information. High-level features are able to provide useful constraints on the detection procedure, and thus to improve detection performance. We define t

• Finding and remedying high-level security issues in binary code

  سند علمی۲۰۱۶David Dewey

• Current trends and future directions in the practice of high-level data modeling: An empirical study

  سند علمی۲۰۰۹ECISBarbara Anglim, Simon K. Milton, Jayantha Rajapakse, Ron Weber

  Many organizations now purchase and customize software rather than build information systems. In this light, some argue that high-level data modeling no longer has a role. In this paper, we examine the contemporary relevance of high-level data modeling. We addressed this issue by