AI Summary & Key Takeaways
AI InsightWe also demonstrate that our model has the same performance as one of the mentioned studies above in a more straightforward way.
📌 3 Key Takeaways
Abstract
Wireless networks are inherently more susceptible to attacks than their wired counterparts. The easiness of transmitting and receiving messages for legitimate users is also valid for attackers, and traditionally cryptographic methods have been exploited to provide security and privacy. However, these are far from fulfilling the needs of current technologies, such as IoT devices with limited computation and energy sources. Therefore, friendly jamming (FJ) emerges as a promising solution to this problem due to being a computationally cheap and energy-efficient operation. However, one of the tradeoffs of FJ is its viability. Although some studies try to cope with this challenge, they are complicated and focus on old technologies. This study proposes a lightweight and flexible FJ scheme to address these challenges. We also demonstrate that our model has the same performance as one of the mentioned studies above in a more straightforward way.