Authors : Khandakar Rabbi Ahmed, Mst Masuma Akter Semi, Shahanaj Akther, Md Masud Karim Rabbi, Mamunur R Raja, Urmi Chakraborty, MD Istiak Hasan Rial
Publication date : 2025/4/9
Conference : 2025 4th OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 5.0
Pages : 1-6
Publisher : IEEE
Description : The increasing sophistication of malware requires sophisticated and reliable detection systems to protect critical infrastructure and sensitive data. The issues of accuracy and trust, often prevalent in traditional malware detection approaches due to centralized data management and vulnerability to tampered data, can thus be addressed. This paper proposes a malware detection system that integrates with Blockchain, increasing accuracy and adding a trust factor to the security system. For the malware detection process, the system executes a deep-learning model capable of obtaining high accuracy and success with a large dataset. Smart contracts are designed to implement decision-making in a transparent and immutable manner based on the validity of detection results. Utilizing data hashing, the system safely stores the detection results on the Blockchain, providing an auditable trail for evidence generation. The …
Total citations : Cited by 22
Scholar articles :
KR Ahmed, MMA Semi, S Akther, MMK Rabbi, MR Raja… – 2025 4th OPJU International Technology Conference …, 2025