Role of Artificial Intelligence in the Internet of Things (IoT) cybersecurity

Kuzlu, Murat; Fair, Corinne; Güler, Özgür

doi:10.1007/s43926-020-00001-4

Cited by 160 publications

(68 citation statements)

References 18 publications

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“…The weighted fusion method weights the output of each sensor, and the final result is the fusion value. The premise of this method is to do a comprehensive analysis of the detection system and sensors, and to determine the appropriate weight ratio of each sensor [17,18].…”

Section: Multi-sensor Information Fusion Methods (1) Weight Coefficient Fusion Methodsmentioning

confidence: 99%

RETRACTED ARTICLE: Design and Implementation of Track and Field Training Information Collection and Feedback System Based on Multi-sensor Information Fusion

2021

EURASIP J. Adv. Signal Process.

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Track and field sports are known as the "mother of sports". Whether in the field of athletics, fitness, or education, modern track and field sports have developed rapidly. The field of athletics has reached the point where it challenges the limits of humans. The development of China is inseparable from the support of science and technology, and it is inseparable from human scientific research on track and field sports. In order to improve the scientific level of track and field training methods and develop our country's sports industry, this paper designs a track and field training information collection and feedback system based on multi-sensor information fusion. In the method part, this article briefly introduces the content of track and field sports, the mode of multi-sensor information fusion and the existing sports information collection system, using weight coefficient fusion method, D-S evidence theory algorithm and Kalman filter algorithm. This paper designs an information collection and feedback system based on multi-sensor information fusion, and conducts demand analysis, comparative analysis, and data record analysis on this system. By designing the experimental group and the control group, it can be seen that the average performance of the two groups of athletes in the 50-meter run in 8 weeks has improved, and the data of the experimental group and the control group show significant differences. After the experiment, the average performance of the male athletes in the control group increased from around 8.32 to around 8.12, an increase of 4.7%. The performance of male athletes in the experimental group increased from 8.37 to 7.92, an increase of 5.6%. It can also be known that before the experiment, the average performance of the athletes in the selected control group was due to the experimental group, but after 8 weeks of experiment, the increase in the experimental group was higher than that of the control group. This shows that the data collection and feedback system using multi-sensor information fusion can be more accurately and differentiatedly applied to track and field training, and can find problems in athletes, so as to prescribe the right medicine.

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Section: Multi-sensor Information Fusion Methods (1) Weight Coefficient Fusion Methodsmentioning

confidence: 99%

RETRACTED ARTICLE: Design and Implementation of Track and Field Training Information Collection and Feedback System Based on Multi-sensor Information Fusion

2021

EURASIP J. Adv. Signal Process.

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“…AI is frequently used by attackers to uncover and exploit flaws far faster than developers can repair them. Machine learning can be used to create a clever fuzzing algorithm that generates incorrect data in order to detect device vulnerabilities [186].…”

Section: ) Machine Learning In Ble Securitymentioning

confidence: 99%

Security and Privacy Threats for Bluetooth Low Energy in IoT and Wearable Devices: A Comprehensive Survey

Barua

Alamin

Hossain

et al. 2022

IEEE Open J. Commun. Soc.

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Bluetooth Low Energy (BLE) has become the de facto communication protocol for the Internet of Things (IoT) and smart wearable devices for its ultra-low energy consumption, ease of development, good enough network coverage, and data transfer speed. Due to the simplified design of this protocol, there have been lots of security and privacy vulnerabilities. As billions of health care, personal fitness wearable, smart lock, industrial automation devices adopt this technology for communication, its vulnerabilities should be dealt with high priority. Some segregated works on BLE were performed focusing on various vulnerabilities, such as the insecure implementation of encryption, device authentication, user privacy, etc. However, there has been no comprehensive survey on the security vulnerabilities of this protocol. In this survey paper, we present a comprehensive taxonomy for the security and privacy issues of BLE. We present possible attack scenarios for different types of vulnerabilities, classify them according to their severity, and list possible mitigation techniques. We also provide case studies regarding how different vulnerabilities can be exploited in real BLE devices.

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“…Access control mainly prevents illegal use of protected resources and defines the following four component roles: access initiator, access control enforcement function (AEF), access control decision function (ADF), and access target [15].…”

Section: Basic Principles Of Access Controlmentioning

confidence: 99%

Big Data-Based Access Control System in Educational Information Security Assurance

Zhong

Liang

2022

Wireless Communications and Mobile Computing

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Access control is a key strategy to prevent and protect the network. The most important task is to ensure that visitors will not use network resources and will not conduct unauthorized access to them. This paper studies a number of information security issues in the process of education informatization, aimed at studying the application of access control systems based on big data in education information security. This article elaborates on the related concepts of access control and proposes an attribute-based encryption scheme. Based on this, an information system security system model with security strategy as the core content is constructed. The experimental results in this paper show that the improved access control system has the more efficient guarantee ability in education information security, which is about 47.3% higher than the traditional access control system.

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Role of Artificial Intelligence in the Internet of Things (IoT) cybersecurity

Cited by 160 publications

References 18 publications

RETRACTED ARTICLE: Design and Implementation of Track and Field Training Information Collection and Feedback System Based on Multi-sensor Information Fusion

RETRACTED ARTICLE: Design and Implementation of Track and Field Training Information Collection and Feedback System Based on Multi-sensor Information Fusion

Security and Privacy Threats for Bluetooth Low Energy in IoT and Wearable Devices: A Comprehensive Survey

Big Data-Based Access Control System in Educational Information Security Assurance

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