Cooperative Friendly Jamming Techniques for Drone-Based Mobile Secure Zone

• Published in: Sensors (Basel, Switzerland) Vol. 22; no. 3; p. 865
• Main Authors: Jeon, Ga-Hye, Lee, Ji-Hyun, Sung, Yeon-Su, Park, Hyun-Ju, Lee, You-Jin, Yun, Sun-Woo, Lee, Il-Gu
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 24.01.2022; MDPI
• Subjects: Analysis; Communication networks; Communications networks; D2D; drone-based mobile secure zone; Drones; Eavesdropping; Field tests; friendly jamming; Internet of Things; IoT; Jamming; Methods; RF radio communication; Simulation; Simulation methods; Unmanned aerial vehicles; Weight reduction; Wi-Fi direct; Wireless communications; Wireless networks; Wireless telecommunications equipment; South Korea; mobility; D2D; drone-based mobile secure zone; friendly jamming; RF radio communication; Wi-Fi direct; IoT
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s22030865

Threats of eavesdropping and information leakages have increased sharply owing to advancements in wireless communication technology. In particular, the Internet of Things (IoT) has become vulnerable to sniffing or jamming attacks because broadcast communication is usually conducted in open-network environments. Although improved security protocols have been proposed to overcome the limitations of wireless-communication technology and to secure safe communication channels, they are difficult to apply to mobile communication networks and IoT because complex hardware is required. Hence, a novel security model with a lighter weight and greater mobility is needed. In this paper, we propose a security model applying cooperative friendly jamming using artificial noise and drone mobility, which are autonomous moving objects, and we demonstrate the prevention of eavesdropping and improved security through simulations and field tests. The Cooperative Friendly Jamming Techniques for Drone-based Mobile Secure Zone (CFJ-DMZ) can set a secure zone in a target area to support a safe wireless mobile communication network through friendly jamming, which can effectively reduce eavesdropping threats. According to the experimental results, the average information leakage rate of the eavesdroppers in CFJ-DMZ-applied scenarios was less than or equal to 3%, an average improvement of 92% over conventional methods.