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Research Article | Open Access |

Ransomware: Analysis of Encrypted Files

Author 1: Houria MADANI Author 2: Noura OUERDI Author 3: Abdelmalek Azizi
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 14, No. 1 · Published 2023 · Cited by 7

DOI: https://doi.org/10.14569/IJACSA.2023.0140124

Abstract

Ransomware is a type of malware that damage the system by encrypting all the files existing in the computer. To get access, the victim has to pay a ransom to get a key to decrypt his data. When the virus is running in machine, the user cannot stop it on the first try, so he may lose his entire files. One of the goals of this work is to detect ransomware based on encrypted files in real time and to minimize the cost of losing files. We will try to do an analysis of a received file (without opening it and seeing its contents). This scanning action can prevent a ransomware from spreading in the system. Most Ransomware files are sent in “.exe” format, but in this work, we will try to use other file formats that can accept malware, for example, .doc or .docx, .xls or .xlsx, .ppt or .pptx, .jpg, etc. In fact, an attacker can focus only on the files that contain useful data. In this paper, we are going to identify the types of files if they are suspicious or normal (without opening them) from their headers. For that first, we are going to analyze each extension separately (.docx, .exe, .pptx, .xlsx, .jpg, etc.) by identifying their headers and signatures. Then we will take several files with different extensions to analyze them by doing a program who detect if a file is benign or suspicious.

Keywords

How to Cite this Article

MADANI, H., OUERDI, N., & Azizi, A. (2023). Ransomware: Analysis of Encrypted Files. International Journal of Advanced Computer Science and Applications, 14(1). https://doi.org/10.14569/IJACSA.2023.0140124

MADANI, Houria, et al.. "Ransomware: Analysis of Encrypted Files." International Journal of Advanced Computer Science and Applications, vol. 14, no. 1, 2023, https://doi.org/10.14569/IJACSA.2023.0140124.

@article{MADANI2023,
  title     = {Ransomware: Analysis of Encrypted Files},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {14},
  number    = {1},
  year      = {2023},
  publisher = {The Science and Information Organization},
  author    = {Houria MADANI and Noura OUERDI and Abdelmalek Azizi},
  doi       = {10.14569/IJACSA.2023.0140124},
  url       = {https://doi.org/10.14569/IJACSA.2023.0140124}
}

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