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Open-source-based 5G Access Network Security Vulnerability Automated Verification Framework

Jewon Jung, Jaemin Shin, Sugi Lee, Yusung Kim

http://doi.org/10.5626/JOK.2023.50.6.531

Recently, various open sources based on 5G standards have emerged, and are widely used in research to find 5G control plane security vulnerabilities. However, leveraging those open sources requires extensive knowledge of complex source code, wireless communication devices, and massive 5G security standards. Therefore, in this paper, we propose a framework for the automatic verification of security vulnerabilities in the 5G control plane. This framework builds a 5G network using commercial Software Defined Radio (SDR) equipment and open-source software and implements a Man-in-the-Middle (MitM) attacker to deploy a control plane attack test bed. It also implements control plane message decoding and correction modules to execute message spoofing attacks and automatically classifies security vulnerabilities in 5G networks. In addition, a GUI-based web user interface is implemented so that users can create MitM attack scenarios and check the verification results themselves.

Sequentiality-Aware Hash-based FTL

Jaemin Shin, Ilbo Jeong, Li Xiaochang, Jihong Kim

http://doi.org/10.5626/JOK.2020.47.8.717

As the capacity of an SSD significantly increases, the SSD needs a larger DRAM for managing SSD-internal information. Since the cost of DRAM is an important factor in deciding the overall SSD price, it is important to reduce the DRAM cost without a performance degradation. In this paper, we propose a novel hash-based FTL mapping technique that meets this goal. Unlike an existing hash-based scheme, our technique introduces a virtual block scheme which enables to exploit the sequentiality of the logical address which effectively reduces the garbage collection overhead. Experimental results showed that SEQhFTL can reduce this overhead as much as PFTL while only maintaining 39% of PFTL’s metadata used on average.


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