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Security system of spectrum sharing auction

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2025
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Abstract (EN)

The rise in mobile communication spectrum demand by 2025 necessitates addressing supply-demand imbalances for the Internet of Things (IoT). IoT spectrum-sharing solutions, such as Dynamic Spectrum Sharing (DSS) and Cognitive Radio (CR), improve spectrum usage and efficiency for 5G systems. However, energy consumption is a major issue, especially for long-operating nodes. Security of spectrum auctions is crucial for fair conduct, but maintaining integrity in complex network settings is challenging. A secure double spectrum auction architecture has been developed to address security concerns and challenges. In this thesis, a two cascaded securing algorithm for the sharing auction system that selects appropriate base stations (BSs) to offer a low-complexity, secure, and efficient spectrum auction, with a focus on spectrum allocation and its auction is proposed. In the first step, a Paillier cryptosystem approach is provided to provide secondary users (SUs) with bidding methods to safeguard its data. To increase the security of every symbol in the data between the broker (auctioneer) and SUs (bidders), the second step encrypts each bidder's data using a single resolution wavelet transform. It can be structured based on a pyramid algorithm to perform private bases for every bidder. Thus, the data for every bidder will be encrypted with different codes. A better level of security will be achieved by double-encrypting each bidder's data between the broker and the SUs. The simulation result reveals that, the proposed double security increases the satisfaction, immunity, security, and utility. In addition, when applied to the 5G signal, the proposed approach produced graphical results that showed high bidder satisfaction and auction income for the BSs. The impact of Monte-Carlo simulation is also taken into consideration by trying different number of iteration. The results have a significant performance with the big number of iteration. Thus, a big number of Monte-Carlo simulation with doubled security process for the auction spectrum sharing system.

Author

Ahmed Kanaan Kadhım

How to Cite

Ahmed Kanaan Kadhım (Master Thesis). Security system of spectrum sharing auction, 2025, İstanbul Gelişim University.

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