Abstract

The in-depth discussion on the development of green technology at the 25th Wireless World Research Forum (WWRF) Conference in November 2010 indicated the growing interest in energy conservation technology that needs to be applied in next generation mobile communication. Green Internet of Things (IoT) technology is expected to be included as part of green communication. In this study, to meet the low power-consumption requirements of IoT devices, IEEE 802.11ba—a standard that minimizes power consumption significantly—is introduced. IEEE 802.11ba minimizes the power consumption of wireless devices by using power-saving technology that activates wireless local area network (WLAN) chips only when necessary. Thus far, no discussions have been provided for wake-up radio (WUR) technology regarding non-sleep attacks, where the WUR receiver ends up waking up the main radios accidentally or remains in the non-sleep mode because of malicious attacks such as spoofing. Therefore, in this paper, a general operating procedure of WUR for ensuring low-power consumption and an algorithm for detecting malicious attacks are proposed. Further, an operating process for responding to malicious attacks is defined. The extensive simulation results show that the proposed anti-malicious attack WUR (AMA-WUR) protocol reduces the average packet delay by 62.84% compared with original WUR protocol, and reduces the average power consumption by 93.71% with original WUR protocol while the flooding attack vulnerabilities.

Highlights

  • The telecommunications field has been expanding considerably along with a proportional increase in the electrical energy consumption of the devices

  • It is critical to ensure power for Internet of Things (IoT) devices is available, especially sensors, in order to maintain a stable communicating environment; this requirement makes energy efficiency and power management an important criteria for future IoT applications. Communication radios such as radio frequency (RF) chip account for a significant percentage of energy consumption in an IoT device compared to other device components such as sensor, controller, etc

  • PREVENTION METHOD FOR MALICIOUS ATTACKS Once the trained threshold is obtained after the training period of the algorithm described earlier, common denial-of sleep (DoSL) wake up packet (WUP) attacks can be detected

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Summary

INTRODUCTION

The telecommunications field has been expanding considerably along with a proportional increase in the electrical energy consumption of the devices Often, performance criterion such as spectral efficiency or data rate are optimized at the cost of greater energy consumption [1]. It is critical to ensure power for IoT devices is available, especially sensors, in order to maintain a stable communicating environment; this requirement makes energy efficiency and power management an important criteria for future IoT applications. Communication radios such as radio frequency (RF) chip account for a significant percentage of energy consumption in an IoT device compared to other device components such as sensor, controller, etc.

Park: Anti-Malicious Attack Algorithm for Low-Power WUR Protocol
PREVENTION METHOD FOR MALICIOUS ATTACKS
Findings
CONCLUSION
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