The Current Research of IoT Security

Zhang, Jian; Chen, Huaijian; Gong, Liangyi; Cao, Jing; Gu, Zhaojun

doi:10.1109/dsc.2019.00059

Cited by 27 publications

(9 citation statements)

References 32 publications

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“…Through denial-of-service attacks against IoT devices can restrict the supply of related services. Several tactics, such as sinkhole, jamming attack, and replay assaults, exploit IoT entities at various stages to degrade the quality-of-service (QoS) offered to subscribers (Zhang et al, 2019).…”

Section: Availability Of Servicesmentioning

confidence: 99%

Security in Internet of Things (IoT): Challenges and Models

Lata¹

2022

MSEA

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The Internet of Things (IoT) has grabbed the attention of the scientific community in recent years. IoT is a recently formed technology that will be the future of the web, allowing distinct everyday objects to communicate with each other without any human interaction. It is one of the most hotly debated fields in both academia and industry for current and future study areas. IoT security and privacy issues have proven to be critical objectives. This paper includes IoT models, schemes, and implementation issues related to different IoT technologies and devices. It focuses on security challenges of IoT communications such as privacy, authentication, integrity of data, and service availability, mostly in hardware aspects. Attacks and modern vulnerabilities, as well as countermeasures, are taken into account. Various IoT security models are described along with security challenges.

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Section: Availability Of Servicesmentioning

confidence: 99%

Security in Internet of Things (IoT): Challenges and Models

Lata¹

2022

MSEA

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“…Jian Zhang et al [26] provided a review over the security models of IoT at each level. In their paper, they highlighted different security threats like physical, network and information data threats.…”

Section: Security and Protection Techniques For Iot Devicesmentioning

confidence: 99%

Comprehensive Survey Over Security and Protection Issues of IoT Devices

Waqas¹,

Noonari²,

Khatri³

et al. 2022

IJAIMS

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The Internet of Things (IoT) technology has been involved nearly in each sector of daily life from home to industries level. It is another modern worldview pictured as a standard employer of interconnected machines. IoT technology brought easiness and increased the efficiency of communication between human and devices as compared to manual devices. Due to the increment in the usage of IoT devices in residential and commercial areas, these devices attracted the attackers for the security breaches. The main function of IoT security is to promise to provide the security and protection of private data of IoT users, data and devices and infrastructure. The end users are like a layman and do not have enough knowledge of these security holes that is why they are the easy target for the attackers. Various methods are acquainted with lift out and make use of IoT ideas. IoT technology is playing a critical role in every field like savvy properties and intelligent city areas, elevating safety concerns. This paper presents a review on security threats, the reason and order of these threats, and the preparations that had been given towards these IoT protection issues.

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“…The IIoT holds the potential to enhance the effectiveness, output, and adaptability of industrial operations while facilitating the emergence of innovative services and business model [3]. Nevertheless, the adoption of IIoT also brings about significant security challenges [4]. These challenges predominantly stem from the prolonged lifespan of components, the extensive scope of networks, and the stringent safety and reliability prerequisites inherent in industrial systems [5].…”

Section: Introductionmentioning

confidence: 99%

Next-gen security in IIoT: integrating intrusion detection systems with machine learning for industry 4.0 resilience

Idouglid,

Tkatek,

Elfayq

et al. 2024

IJECE

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In the dynamic landscape of Industry 4.0, characterized by the integration of smart technologies and the industrial internet of things (IIoT), ensuring robust security measures is imperative. This paper explores advanced security solutions tailored for the IIoT, focusing on the integration of intrusion detection systems (IDS) with advanced machine learning (ML) and deep learning (DL) techniques. In this paper, we present a novel intrusion detection model to fortify to fortify Industry 4.0 systems against evolving cyber threats by leveraging ML an DL algorithms for dynamic adaptation. To evaluate the performances and effectiveness of our proposed model, we use the improved Coburg intrusion detection data sets (CIDDS) and BoT-IoT datasets, showcasing notable performance attributes with an exceptional 99.99% accuracy, high recall, and precision scores. The model demonstrates computational efficiency, with rapid learning and detection phases. This research contributes to advancing next-gen security solutions for Industry 4.0, offering a promising approach to tackle contemporary cyber.

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The Current Research of IoT Security

Cited by 27 publications

References 32 publications

Security in Internet of Things (IoT): Challenges and Models

Security in Internet of Things (IoT): Challenges and Models

Comprehensive Survey Over Security and Protection Issues of IoT Devices

Next-gen security in IIoT: integrating intrusion detection systems with machine learning for industry 4.0 resilience

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