Anomaly Detection in Blockchain Systems Leveraging Immutable Audit Trails for Enhanced Security
Blockchain technology supports recording financial transactions as well as other kinds of data using a distributed ledger, showing safe and immutable exchange. Computerized business transactions or the running of logic in blockchain networks are supported by smart contracts. Identity management sys...
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| Format: | Article |
| Language: | English |
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Sir Syed University of Engineering and Technology, Karachi.
2025-06-01
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| Series: | Sir Syed University Research Journal of Engineering and Technology |
| Online Access: | https://sirsyeduniversity.edu.pk/ssurj/rj/index.php/ssurj/article/view/656 |
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| author | Hafiz Gulfam Ahmad Umar Kashif Iqbal Sajida Raz Bhutto Asad Raza Ammar Oad |
| author_facet | Hafiz Gulfam Ahmad Umar Kashif Iqbal Sajida Raz Bhutto Asad Raza Ammar Oad |
| author_sort | Hafiz Gulfam Ahmad Umar |
| collection | DOAJ |
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Blockchain technology supports recording financial transactions as well as other kinds of data using a distributed ledger, showing safe and immutable exchange. Computerized business transactions or the running of logic in blockchain networks are supported by smart contracts. Identity management systems have greatly relied on blockchain technology recently. It thus aims at a new innovative method of detecting anomalies in streaming data through exploitation of the fundamental characteristics of blockchain technology. Even with the advantages of blockchain, real-time anomaly detection algorithms still lack sufficient performance. The proposed project will integrate Apache Isis with smart contracts based on the Ethereum system to create an automated system of audit trails. The proposed solution is going to ensure data integrity, transparency, and nonrepudiation and provide a reliable framework for anomaly detection. Some of the key objectives include investigating how and to what extent immutable audit trails are effective toward security, enhancing security and transparency in such systems, and applying machine learning techniques to improve anomaly detection. The resultant research would lead to the development of more secure and efficient blockchain-based systems that can benefit a wide range of industries, especially those where data security and integrity are of utmost importance.
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| format | Article |
| id | doaj-art-baccc127e9fc494e8fa3e8cc8c5b82ad |
| institution | Kabale University |
| issn | 1997-0641 2415-2048 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Sir Syed University of Engineering and Technology, Karachi. |
| record_format | Article |
| series | Sir Syed University Research Journal of Engineering and Technology |
| spelling | doaj-art-baccc127e9fc494e8fa3e8cc8c5b82ad2025-08-20T03:28:37ZengSir Syed University of Engineering and Technology, Karachi.Sir Syed University Research Journal of Engineering and Technology1997-06412415-20482025-06-0115110.33317/ssurj.656Anomaly Detection in Blockchain Systems Leveraging Immutable Audit Trails for Enhanced SecurityHafiz Gulfam Ahmad UmarKashif IqbalSajida Raz Bhutto 0Asad Raza1Ammar Oad2Department of Software Engineering, Mehran University of Engineering & Technology, SZAB Campus, Khairpur Mirs, PakistanSchool of Computer Science and Engineering Central South University, Changsha, 410083 ChinaFaculty of Information Engineering, Shaoyang University, Shaoyang 422000, China Blockchain technology supports recording financial transactions as well as other kinds of data using a distributed ledger, showing safe and immutable exchange. Computerized business transactions or the running of logic in blockchain networks are supported by smart contracts. Identity management systems have greatly relied on blockchain technology recently. It thus aims at a new innovative method of detecting anomalies in streaming data through exploitation of the fundamental characteristics of blockchain technology. Even with the advantages of blockchain, real-time anomaly detection algorithms still lack sufficient performance. The proposed project will integrate Apache Isis with smart contracts based on the Ethereum system to create an automated system of audit trails. The proposed solution is going to ensure data integrity, transparency, and nonrepudiation and provide a reliable framework for anomaly detection. Some of the key objectives include investigating how and to what extent immutable audit trails are effective toward security, enhancing security and transparency in such systems, and applying machine learning techniques to improve anomaly detection. The resultant research would lead to the development of more secure and efficient blockchain-based systems that can benefit a wide range of industries, especially those where data security and integrity are of utmost importance. https://sirsyeduniversity.edu.pk/ssurj/rj/index.php/ssurj/article/view/656 |
| spellingShingle | Hafiz Gulfam Ahmad Umar Kashif Iqbal Sajida Raz Bhutto Asad Raza Ammar Oad Anomaly Detection in Blockchain Systems Leveraging Immutable Audit Trails for Enhanced Security Sir Syed University Research Journal of Engineering and Technology |
| title | Anomaly Detection in Blockchain Systems Leveraging Immutable Audit Trails for Enhanced Security |
| title_full | Anomaly Detection in Blockchain Systems Leveraging Immutable Audit Trails for Enhanced Security |
| title_fullStr | Anomaly Detection in Blockchain Systems Leveraging Immutable Audit Trails for Enhanced Security |
| title_full_unstemmed | Anomaly Detection in Blockchain Systems Leveraging Immutable Audit Trails for Enhanced Security |
| title_short | Anomaly Detection in Blockchain Systems Leveraging Immutable Audit Trails for Enhanced Security |
| title_sort | anomaly detection in blockchain systems leveraging immutable audit trails for enhanced security |
| url | https://sirsyeduniversity.edu.pk/ssurj/rj/index.php/ssurj/article/view/656 |
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