IoTMap

Tournier, Jonathan; Lesueur, François; Mouël, Frédéric Le; Guyon, Laurent; Ben-Hassine, Hicham

doi:10.1145/3410992.3411007

Cited by 6 publications

(1 citation statement)

References 7 publications

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“…Risk analysis presented and examined each layer related to the security threats. The convenient procedures and their limitations of IoT protocols are specified [69].…”

Section: Ids and Iotmentioning

confidence: 99%

A Survey of Intrusion Detection Using Deep Learning in Internet of Things

Farhan

Jasim

2022

ijcsm

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The use of deep learning in various models is a powerful tool in detecting IoT attacks, identifying new types of intrusion to access a better secure network. Need to developing an intrusion detection system to detect and classify attacks in appropriate time and automated manner increases especially due to the use of IoT and the nature of its data that causes increasing in attacks. Malicious attacks are continuously changing, that cause new attacks. In this paper we present a survey about the detection of anomalies, thus intrusion detection by distinguishing between normal behavior and malicious behavior while analyzing network traffic to discover new attacks. This paper surveys previous researches by evaluating their performance through two categories of new datasets of real traffic are (CSE-CIC-IDS2018 dataset, Bot-IoT dataset). To evaluate the performance we show accuracy measurement for detect intrusion in different systems.

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“…Risk analysis presented and examined each layer related to the security threats. The convenient procedures and their limitations of IoT protocols are specified [69].…”

Section: Ids and Iotmentioning

confidence: 99%

A Survey of Intrusion Detection Using Deep Learning in Internet of Things

Farhan

Jasim

2022

ijcsm

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PIS: IoT & Industry 4.0 Challenges

Mouël

Carrillo²

2022

The Evolution of Pervasive Information Systems

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In the era of Industry 4.0, digital manufacturing is evolving into smart manufacturing. This evolution impacts companies in three main areas: organization, people, and technologies. This chapter analyzes the Internet of Things (IoT) and Cyber-Physical Systems (CPS) -key technologies transforming the physical world into a digitalized physical world. IoT and CPS provide factories with sensing capabilities, perform data and context capture and allow them to act/react to optimize the value chain. We survey the recent state-of-the-art development of the Industrial Internet of Things (IIoT) -also known as IoT and CPS in the context of Industry 4.0, from a protocol, architecture, and standard point-of-view. We also explore key challenges and future research directions for extensive industrial adoption of these technologies.

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