Author(s)

Xiaoyu Deng ¹

Affiliation(s)

¹ School of Engineering and Applied Science, University of Pennsylvania, Systems Engineering Philadelphia, PA 19104, USA

Corresponding Author

Xiaoyu Deng

ABSTRACT

In the era of big data, distributed storage systems (DSS) are gradually replacing traditional storage systems and becoming the mainstream solution in the field of data storage due to their excellent storage performance and relatively low construction costs. In the widespread application of DSS, how to ensure the security, integrity, and efficiency of data has become a key issue that urgently needs to be addressed. Therefore, implementing intelligent data collection strategies under the guidance of security optimization is particularly important. This article proposes an innovative DSS intelligent data collection strategy that innovatively combines Ant Colony Optimization Algorithm (ACO) with Blockchain Technology (BT). ACO, with its powerful search capability and adaptability, can intelligently select the optimal path during data collection, thereby improving the efficiency of data collection. BT, on the other hand, provides strong guarantees for data security and integrity with its decentralized and tamper proof features. The experimental results show that this DSS intelligent data collection strategy combining ACO and BT not only significantly improves the efficiency of data collection, but also effectively ensures the security and integrity of data.

KEYWORDS

Security optimization guidelines; Distributed storage system; Intelligent data; Collection strategy

CITE THIS PAPER

Xiaoyu Deng, Intelligent Data Collection Strategy for Distributed Storage Systems Based on Security Optimization Guidelines. Journal of Electronics and Information Science (2025) Vol. 10: 155-160. DOI: http://dx.doi.org/10.23977/10.23977/jeis.2025.100120.

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