UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1905774


Registration ID:
209993

Page Number

418-423

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Title

Framework for Detecting Ransomware from Document files

Abstract

Along with the rapid growth of new science and technology, the functions of our devices become more and more powerful. In spite of that, everything has two aspects. Devices bring so much convenience for people and also bring the security risks at the same time. Malicious application has become a big threat to the mobile and computer security. Thus, an efficient security analysis and detection method is important and necessary. As a new type of malicious software, ransomware is one of the biggest security threats in recent years. A ransomware encrypts the victim’s valuable data, or denies the access to the device and asks for ransom money. Paying the ransom money, however, may not guarantee recovery of the data being encrypted or locked. To protect users, a detection method should be able to detect ransomware in the user’s real-time environment and make it difficult for the ransomware to avoid detection.

Key Words

ransomware; malware detection; malware analysis; behavioural detection;

Cite This Article

"Framework for Detecting Ransomware from Document files", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.418-423, May-2019, Available :http://www.jetir.org/papers/JETIR1905774.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Framework for Detecting Ransomware from Document files", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp418-423, May-2019, Available at : http://www.jetir.org/papers/JETIR1905774.pdf

Publication Details

Published Paper ID: JETIR1905774
Registration ID: 209993
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 418-423
Country: Ahmedabad, Gujarat, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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