Mendeley
TY  _  JOUR
ID  -  1401092640460
TI  -  Intrusion Detection Based on Cooperation on the Permissioned Blockchain Platform in the Internet of Things Using Machine Learning
JO  -  Journal of Information and Communication Technology
JA  -  ES
LA  -  fa
SN  -  2717-0411
AU  -  Abdian Mohammad Mahdi 
AU  -  ghayori majid
AU  -  Eftekhari Seyed Ahmad 
AD  -  کارشناسی ارشد رایانش امن، گروه کامپیوتر دانشگاه جامع امام حسین (ع)
AD  -  گروه کامپیوتر دانشگاه جامع امام حسین (ع)، 
AD  -  کارشناسی مهندسی کامپیوتر نرم‌افزار، دانشگاه آزاد اسلامی واحد تهران مرکز، تهران، ایران
Y1  -  2024
PY  -  2024
VL  -  59
IS  -  
SP  -  93
EP  -  107
KW  -  Intrusion Detection
KW  -   Blockchain
KW  -   Internet Of Things
KW  -   Machine Learning
KW  -   Intrusion Detection Based On Machine Learning.
DO  -  
N2  -  Intrusion detection systems seek to realize several objectives, such as increasing the true detection rate, reducing the detection time, reducing the computational load, and preserving the resulting logs in such a way that they cannot be manipulated or deleted by unauthorized people. Therefore, this study seeks to solve the challenges by benefiting from the advantages of blockchain technology, its durability, and relying on IDS architecture based on multi-node cooperation. The proposed model is an intrusion detection engine based on the decision tree algorithm implemented in the nodes of the architecture. The architecture consists of several connected nodes on the blockchain platform. The resulting model and logs are stored on the blockchain platform and cannot be manipulated. In addition to the benefits of using blockchain, reduced occupied memory, the speed, and time of transactions are also improved by blockchain. In this research, several evaluation models have been designed for single-node and multi-node architectures on the blockchain platform. Finally, proof of architecture, possible threats to architecture, and defensive ways are explained. The most important advantages of the proposed scheme are the elimination of the single point of failure, maintaining trust between nodes, and ensuring the integrity of the model, and discovered logs.
UR  - rimag.ir/en/Article/40460
L1  - rimag.ir/en/Article/Download/40460
ER  -  
