A survey of IoT security threats and defenses

Ahmed, Hassan I.; Nasr, Abdurrahman A.; Abdel-Mageid, Salah; Aslan, Heba K.

doi:10.19101/ijacr.2019.940088

Cited by 25 publications

(7 citation statements)

References 51 publications

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“…The use of carefully designed artificial noise while relaying can be achieved by interfering only with eavesdroppers without affecting normal users. The literature [15] focused on the impact of the eavesdropper's attack pattern on the security of the system and investigated the communication reliability of normal network users in the case of interference collaboration with eavesdroppers switching between passive eavesdropping and active jamming modes.…”

Section: Related Workmentioning

confidence: 99%

Secure Physical Layer Transmission and Authentication Mechanism Based on Compressed Sensing of Multiple Antenna Arrays

Zhang

Zhou

2021

Journal of Sensors

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Large-scale antenna technology has become one of the most promising technologies in 5G because of its ability to effectively improve the spectral efficiency and energy efficiency of the system, as well as its better robustness. In this paper, a large amount of CSI (channel state information) data is characterized by feature mining and law analysis, and a large number of channel characteristics of the physical layer have the advantages of randomness and uniqueness, etc. From the perspective of improving the security of the authentication mechanism and reducing the computational complexity of the authentication mechanism, the physical layer security authentication model is analyzed, and the signal security transmission path, signal authenticity, and channel estimation are used to propose an effective physical layer secure transmission and authentication mechanism, which can be used as a security enhancement and lightweight authentication mechanism for existing authentication mechanisms. In this paper, we analyze the security advantage mechanism of physical layer authentication and prove the security performance boundary; propose an authentication security enhancement method based on the channel feature generation key, a message authentication method based on superimposed tag signals; and propose a method based on private guide frequency for high-speed service data authentication.

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Section: Related Workmentioning

confidence: 99%

Secure Physical Layer Transmission and Authentication Mechanism Based on Compressed Sensing of Multiple Antenna Arrays

Zhang

Zhou

2021

Journal of Sensors

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“…Current studies using these methods and outputs are presented in Table 1. Cryptographic and noncryptographic methods are used for HF detection but they are not suitable for the resource-constrained IoT ecosystem [21]. New detection methods are needed in terms of limited storage space, processing capacity, and energy source.…”

Section: B Detection and Prevention Approachesmentioning

confidence: 99%

RPL Attack Detection and Prevention in the Internet of Things Networks Using a GRU Based Deep Learning

2020

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Cyberattacks targeting Internet of Things (IoT), have increased significantly, over the past decade, with the spread of internet-connected smart devices and applications. Routing Protocol for Low-Power and Lossy Network (RPL) enables messages to be routed between nodes for the Wireless Sensor Network in the network layer. RPL protocol, which is sensitive and difficult to protect, is exposed to various attacks. These attacks negatively affect data transmission and cause great destruction to the topology by consuming the resources. Hello Flooding (HF) attacks against RPL cause consumption of constrained resources (memory, processing and energy) in nodes. Therefore, in this study, a Gated Recurrent Unit network model based deep learning has been proposed to predict and prevent HF attacks on RPL protocol in IoT networks. The proposed model has been compared with Support Vector Machine and Logistic Regression methods, and different power states and total energy consumptions of the nodes have been taken into consideration and experimented with. The results confirm the promised and expected performance from the model in terms of source efficiency and IoT security. In addition, attack detection has been carried out with a much lower error rate than literature studies for HF attacks from RPL flood attacks.

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“…Implementation of the Internet of Things (IoT) that is both comprehensive and widespread may also experience potential problems. Everyone's priority should be protecting their personal information and belongings [1,3,4].…”

Section: Introductionmentioning

confidence: 99%

“…Researchers interested in the security of the Internet of Things are focusing their efforts on a variety of different areas, including the establishment of trust between users and objects, the development of more robust security policies, and the protection of sensitive data through authentication procedures. Another line of defense must prevent information from entering the IoT network [3].…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence (Ai) First Approach to Solving Top Industry 4.0 Tech Challenges

2022

IRJMETS

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Industry 4.0, also known as the Internet of Things or IoT in short, is a groundbreaking innovation that emerged in the 21st century and is revolutionizing the technological landscape of the modern era. The Internet of Things (IoT) aims to establish a network that is comprised of all physical devices that are connected and able to communicate with one another. The Internet of Things (IoT) is becoming increasingly popular, which draws the attention of cyber criminals to the network of physical devices. The barriers to security posed by the Internet of Things (IoT) are currently being extensively researched. One of the most critical aspects of the Internet of Things security paradigm is intrusion detection systems, also known as IDS. This research will try to compile all of the previously conducted research onto a single platform to acknowledge everyone's contributions and identify areas where additional investigation is needed.

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A survey of IoT security threats and defenses

Cited by 25 publications

References 51 publications

Secure Physical Layer Transmission and Authentication Mechanism Based on Compressed Sensing of Multiple Antenna Arrays

Secure Physical Layer Transmission and Authentication Mechanism Based on Compressed Sensing of Multiple Antenna Arrays

RPL Attack Detection and Prevention in the Internet of Things Networks Using a GRU Based Deep Learning

Artificial Intelligence (Ai) First Approach to Solving Top Industry 4.0 Tech Challenges

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