Please use this identifier to cite or link to this item:
https://hdl.handle.net/11147/13690
Title: | A lightweight and energy efficient secrecy outage probability-based friendly jamming | Authors: | Yaman, Okan Ayav, Tolga Erten, Yusuf Murat |
Keywords: | Friendly jamming Physical layer security Secrecy outage probability Energy efficiency Network layers |
Publisher: | IEEE | Abstract: | Third parties and legitimate entities can reach and process users' private data through most wireless networks. However, attackers such as intruders and eavesdroppers may also try to exploit this property in communication. Hence, wireless networks are intrinsically more vulnerable to threats, unlike their wired alternatives. Cryptographic techniques are the conventional approaches to deal with that weakness. Nevertheless, they still need to meet the requirements of contemporary technologies, including IoT nodes with energy and processing power constraints. In that respect, friendly jamming (FJ) is one of the encouraging countermeasures to overcome the mentioned susceptibility since it has an energy-efficient and computation-friendly nature. However, that promising approach brings another challenge, applicability. Although various models exist against this issue, a lightweight scheme compliant with novel technologies is needed. Hence, we propose a more straightforward FJ model evaluated on cellular network-based simulations in this study. Moreover, introducing a lightweight secrecy outage probability definition increases robustness and energy efficiency. © 2023 IEEE. | Description: | 11th International Symposium on Digital Forensics and Security, ISDFS 2023 -- 11 May 2023 through 12 May 2023 | URI: | https://doi.org/10.1109/ISDFS58141.2023.10131740 https://hdl.handle.net/11147/13690 |
ISBN: | 9798350336986 |
Appears in Collections: | Computer Engineering / Bilgisayar Mühendisliği Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection |
Files in This Item:
File | Size | Format | |
---|---|---|---|
A_Lightweight.pdf | 882.27 kB | Adobe PDF | View/Open |
CORE Recommender
SCOPUSTM
Citations
1
checked on Nov 15, 2024
Page view(s)
132
checked on Nov 18, 2024
Download(s)
62
checked on Nov 18, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.