A Multi-Agent Model for Network Intrusion Detection

Ouiazzane, Said; Addou, Malika; Barramou, Fatimazahra

doi:10.1109/icssd47982.2019.9003119

Cited by 17 publications

(5 citation statements)

References 8 publications

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“…At the same time, on the Internet of the Tings security feld, many studies have combined intrusion detection systems with artifcial intelligence technology and have achieved specifc results. Early intrusion detection system reviews focused more on traditional IoT security techniques, such as feature selection algorithm-based intrusion detection system review by author [8], networkbased intrusion detection systematic review of host-based intrusion detection by author [9], and a systematic review of intrusion detection based on network threat classifcation by author [10]. Te previous literature provides researchers with a lot of valuable information.…”

Section: Introductionmentioning

confidence: 99%

IOT and Blockchain-Based Cloud Model for Secure Data Transmission for Smart City

Ai-Farhani¹,

Alqahtani

Alshehri

et al. 2023

Security and Communication Networks

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The widespread use of the Internet of Things (IoT) technology has both good and bad things about it. There must be a full and reliable security system in place for the Internet of Things so that things can work together in a safe way and intrusions cannot happen. There are now many more ways to keep the Internet of Things safe, thanks to a detecting system. As machine learning and deep learning technologies have become better, a lot of good intrusion detection systems have been made. This kind of study is covered. These two types of security are compared in this study. The current machine-based intrusion detection system is broken down into more detailed categories based on detection technology, data source, architecture, and operating method. These categories are as follows: It is talked about how IoT security will grow in the future and how to understand its intrusion detection system too. In this paper, a cloud-based blockchain security model has been presented for secure data transmission over IoT.

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Section: Introductionmentioning

confidence: 99%

IOT and Blockchain-Based Cloud Model for Secure Data Transmission for Smart City

Ai-Farhani¹,

Alqahtani

Alshehri

et al. 2023

Security and Communication Networks

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“…Barrier coverage guarantees the detection of any intruder attempting to cross the barrier of sensor networks or penetrating the protected region. There are numerous studies on classical intrusion detection and avoidance [18][19][20]. Ref.…”

Section: Related Workmentioning

confidence: 99%

AutoBar: Automatic Barrier Coverage Formation for Danger Keep Out Applications in Smart City

Shao,

Wang,

et al. 2023

Preprint

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Barrier coverage is a fundamental application in wireless sensor networks, which is widely used to protect a region through intruder detection for smart city. In this paper, we study a new branch of barrier coverage, named warning barrier coverage (WBC). Different from the classic barrier coverage, WBC has the inverse protect direction, which protects unexpected visitors by warning them away from the region enclosed by sensor barriers. The WBC holds a promising prospect in many danger keep out applications for smart city. For example, a WBC can enclose the debris area in the sea and alarm any approaching ships in order to avoid their damaging propellers. One special feature of WBC is that the target region is usually dangerous and its boundary is previously unknown. Hence, the scattered mobile nodes need to detect the boundary and form the barrier coverage themselves. It is challenging to form these distributed sensor nodes into a barrier because a node can sense only the local information and there is no global information of the unknown region or other nodes. To this end, we propose a novel solution AutoBar for mobile sensor nodes to automatically form a WBC for smart city. To pursue the high coverage quality, we theoretically derive the optimal distribution pattern of sensor nodes using convex theory. Based on the analysis, we design a fully distributed algorithm that enables nodes to collaboratively move towards the optimal distribution pattern. In addition, AutoBar is able to reorganize the barrier even any node is broken. To validate the feasibility of AutoBar, we develop the prototype of the specialized mobile node, which consists of two kinds of sensors: one for boundary detection and another for visitor detection. Based on the prototype, we conduct extensive real trace driven simulations in various smart city scenarios. Performance results demonstrate that AutoBar outperforms the existing barrier coverage strategies in terms of coverage quality, formation duration, and communication overhead.

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Section: Related Workmentioning

confidence: 99%

AutoBar: Automatic Barrier Coverage Formation for Danger Keep Out Applications in Smart City

Shao,

Wang,

et al. 2023

Sensors

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Barrier coverage is a fundamental application in wireless sensor networks, which are widely used for smart cities. In applications, the sensors form a barrier for the intruders and protect an area through intrusion detection. In this paper, we study a new branch of barrier coverage, namely warning barrier coverage (WBC). Different from the classic barrier coverage, WBC has the inverse protect direction, which moves the sensors surrounding a dangerous region and protects any unexpected visitors by warning them away from the dangers. WBC holds a promising prospect in many danger keep out applications for smart cities. For example, a WBC can enclose the debris area in the sea and alarm any approaching ships in order to avoid their damaging propellers. One special feature of WBC is that the target region is usually dangerous and its boundary is previously unknown. Hence, the scattered mobile nodes need to detect the boundary and form the barrier coverage themselves. It is challenging to form these distributed sensor nodes into a barrier because a node can sense only the local information and there is no global information of the unknown region or other nodes. To this end, in response to the newly proposed issue of the formation of barrier cover, we propose a novel solution AutoBar for mobile sensor nodes to automatically form a WBC for smart cities. Notably, this is the first work to trigger the coverage problem of the alarm barrier, wherein the regional information is not pre-known. To pursue the high coverage quality, we theoretically derive the optimal distribution pattern of sensor nodes using convex theory. Based on the analysis, we design a fully distributed algorithm that enables nodes to collaboratively move toward the optimal distribution pattern. In addition, AutoBar is able to reorganize the barrier even if any node is broken. To validate the feasibility of AutoBar, we develop the prototype of the specialized mobile node, which consists of two kinds of sensors: one for boundary detection and another for visitor detection. Based on the prototype, we conduct extensive real trace-driven simulations in various smart city scenarios. Performance results demonstrate that AutoBar outperforms the existing barrier coverage strategies in terms of coverage quality, formation duration, and communication overhead.

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A Multi-Agent Model for Network Intrusion Detection

Cited by 17 publications

References 8 publications

IOT and Blockchain-Based Cloud Model for Secure Data Transmission for Smart City

IOT and Blockchain-Based Cloud Model for Secure Data Transmission for Smart City

AutoBar: Automatic Barrier Coverage Formation for Danger Keep Out Applications in Smart City

AutoBar: Automatic Barrier Coverage Formation for Danger Keep Out Applications in Smart City

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