Blockchain malware detection tool based on signature technique
Downloading software or files from the internet can be risky as it is hard to know if they are safe and do not contain viruses. Traditional anti-virus software uses a centralized database to identify malware, but this method has drawbacks due to its centralized design, which creates a single poin...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Shimur Publications
2023
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/108951/7/108951_Blockchain%20Malware%20Detection%20Tool%20Based%20on%20Signature%20Technique.pdf http://irep.iium.edu.my/108951/13/108951_Blockchain%20Malware%20Detection%20Tool%20Based%20on%20Signature%20Technique_SCOPUS.pdf http://irep.iium.edu.my/108951/ https://www.oajaiml.com/archive/blockchain-malware-detection-tool-based-on-signature-technique |
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| Institution: | Universiti Islam Antarabangsa Malaysia |
| Language: | English English |
| Summary: | Downloading software or files from the internet can be risky as it is hard to know if they are
safe and do not contain viruses. Traditional anti-virus software uses a centralized database to
identify malware, but this method has drawbacks due to its centralized design, which creates a
single point of failure. Blockchain technology has become a solution to many problems faced
in the tech industry, including the need for a decentralized and secure way for users to verify
and confirm the presence of malware in a file. The decentralized database, permanence,
immutability, anonymity, and auditability of blockchain technology make it an ideal solution
for malware detection. In fact, malware data has been compiled in databases that antivirus
manufacturers use to identify malware. However, blockchain technology provides a more
secure and decentralized way to store this data, which can be shared between users and allow
them to rapidly update whether a file is safe or not. This paper presents a blockchain-based
malware detection tool designed to enhance security and prevent the spread of malware in
digital networks. The tool based on Java programming language incorporates signaturebased methods to effectively identify and detect malicious codes in malware. The proposed
tool contributes to the field of cybersecurity by leveraging blockchain technology to enhance
malware detection process. |
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