Bluetooth Geo-Fence for Elderly and Patient Care

Chi²,

Hung

2023

Sensors

iBeacon systems have been increasingly established in public areas to assist users in terms of indoor location navigation and positioning. People receive the services through the Bluetooth Low Energy (BLE) installed on their mobile phones. However, the positioning and navigation functions of an iBeacon system may be compromised when faced with cyberattacks issued by hackers. In other words, its security needs to be further considered and enhanced. This study took the iBeacon system of Taipei Main Station, the major transportation hub with daily traffic of at least three hundred thousand passengers, as an example for exploring its potential attacks and further studying the defense technologies, with the assistance of AI techniques and human participation. Our experiments demonstrate that in the early stage of iBeacon system information security planning, information security technology and a rolling coding encryption should be included, representing the best defense methods at present. In addition, we believe that the adoption of rolling coding is the most cost-effective defense. However, if the security of critical infrastructure is involved, the most secure defense method should be adopted, namely a predictable and encrypted rolling coding method.

Section: Introductionmentioning

confidence: 99%

Hybrid-AI-Based iBeacon Indoor Positioning Cybersecurity: Attacks and Defenses

Chi²,

Hung

2023

Sensors

“…For example, Beacon can be found in many camera lenses [3], LED lighting [4], PoS devices [5], and digital billboards [6]; meanwhile, the popularity of smartphones, network devices and location-based applications [7] as well as the low accuracy of GPS systems in indoor environments have conducted the expansion of the global indoor positioning market. The potential applications include locating children [8], the elderly [9], or pets [10] who have been lost, shopping mall navigation [11], entry and exit of and crowd ow management at large venues (e.g., supermarkets or department stores) [12], and vehicle management and identi cation [13]. The higher expansion of iBeacon and BLE Beacon applications often lead to higher risks to these applications.…”

Section: Introductionmentioning

confidence: 99%

Hybrid AI-Based iBeacon Indoor Positioning Cybersecurity Attacks and Defenses Thereof

Leu

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

Chi³

et al. 2023

Currently, iBeacon systems have been increasingly established in public areas to position people and assist users in indoor for location navigation. People receive the services through the Bluetooth Low Energy (BLE) installed on their mobile phones. However, the positioning and navigation functions of a iBeacon system may be compromised when faced with cyberattacks issued by hackers. In other words, its security needs to be further considered and enhanced. This study takes the iBeacon system built in Taipei Main Station, the major transportation hub with daily tra c of at least 300 thousand passengers, as an example for exploring its potential attacks and further studying on the defense technologies under the assistance of AI techniques and human participation. Our experiments demonstrate that the prior information security planning of a iBeacon system and the rolling coding encryption on its issued messages in Taipei Main Station, are the best defense methods.

Hybrid AI-based iBeacon Indoor Positioning Cybersecurity Attacks and Defenses Thereof

Chi

Hung

2022

Preprint

Currently, iBeacon systems have been increasingly established in public areas to position people and assist users in indoor for location navigation. People receive the services through the Bluetooth Low Energy (BLE) installed on their mobile phones. However, the positioning and navigation functions of a iBeacon system may be compromised when faced with cyberattacks issued by hackers. In other words, its security needs to be further considered and enhanced. This study takes the iBeacon system built in Taipei Main Station, the major transportation hub with daily traffic of at least 300 thousand passengers, as an example for exploring its potential attacks and further studying on the defense technologies under the assistance of AI techniques and human participation. Our experiments demonstrate that the prior information security planning of a iBeacon system and the rolling coding encryption on its issued messages in Taipei Main Station, are the best defense methods.