Intrusion Detection System for Hybrid DoS Attacks using Energy Trust in Wireless Sensor Networks*

Xie, Junju; Tao, Yang; Feiyue, Yang; Leina, Pan; Xu, Juan; Hou, Yao

doi:10.1016/j.procs.2018.04.297

Cited by 41 publications

(14 citation statements)

References 4 publications

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“…The detection countermeasure works by analysing neighbouring nodes for the received signal strength. Jinhui et al (2018) proposed a method that can effectively predict energy consumption and increase the detection rate to detect malicious nodes.…”

Section: Survey Methodologymentioning

confidence: 99%

A survey of Sybil attack countermeasures in IoT-based wireless sensor networks

Arshad

Hanapi

Subramaniam

et al. 2021

PeerJ Computer Science

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Wireless sensor networks (WSN) have been among the most prevalent wireless innovations over the years exciting new Internet of Things (IoT) applications. IoT based WSN integrated with Internet Protocol IP allows any physical objects with sensors to be connected ubiquitously and send real-time data to the server connected to the Internet gate. Security in WSN remains an ongoing research trend that falls under the IoT paradigm. A WSN node deployed in a hostile environment is likely to open security attacks such as Sybil attack due to its distributed architecture and network contention implemented in the routing protocol. In a Sybil attack, an adversary illegally advertises several false identities or a single identity that may occur at several locations called Sybil nodes. Therefore, in this paper, we give a survey of the most up-to-date assured methods to defend from the Sybil attack. The Sybil attack countermeasures includes encryption, trust, received signal indicator (RSSI), encryption and artificial intelligence. Specifically, we survey different methods, along with their advantages and disadvantages, to mitigate the Sybil attack. We discussed the lesson learned and the future avenues of study and open issues in WSN security analysis.

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Section: Survey Methodologymentioning

confidence: 99%

A survey of Sybil attack countermeasures in IoT-based wireless sensor networks

Arshad

Hanapi

Subramaniam

et al. 2021

PeerJ Computer Science

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“…Next, Xie Jinhui et al [9] proposed an intrusion detection model for the detection of Hybrid DoS in WSNs. A power series correlation check is proposed based on the energy consumption estimation algorithm.…”

Section: Literature Surveymentioning

confidence: 99%

Multi-Strategic Trust Evaluation for Intrusion Detection in Wireless Sensor Networks

Srividya¹,

Devi²

2021

IJIES

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Wireless Sensor Networks (WSNs) have gained a huge research interest due to their nature of deployment and widespread applicability in several applications. However, the distributed deployment nature of WSNs poses several security challenges. In this paper, an Intrusion (Outlier) detection system is proposed based on multi-strategic trust metrics, which is flexible for constantly varying WSN characterized by changes in the variations in direct trust value, recommendations and capacities. Under the multiple strategic trust metrics, this approach considered three trust metrics; they are subjective trust, witness trust and Capacity trust. Furthermore, the capacity trust is modeled as the combination of fault tolerance trust and stability trust. Each node in the network measures the overall trust of its neighbor nodes based on these three metrics and decides whether it is malicious or not. Similarly, among the available routes, one route is finalized which has more Route Trust. Extensive Simulations are conducted over the proposed intrusion detection mechanism and the performance is evaluated through Malicious Detection Rate, False Positive Rate and Packet Delivery Ratio. From the results, we have noticed that the average Malicious Detection Rats of proposed model is 93.4012% while the False Positive rate and Packet Delivery Ratio are observed as 5.5000% and 74.1745% respectively. The obtained metrics indicate that the proposed method shows an outstanding performance in Intrusions detection and packet deliveries.

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“…As an answer to this threat, a hybrid intrusion detection systems (IDS) model has been designed comprising a central agent that runs on the server and performs intensive calculations using received "alerts" [37]. As a countermeasure in a hybrid DoS attack, an energy trust-based intrusion detection method has been developed for WSNs, which predicts power consumption and increases consumption correlation calculation, thereby evaluating the security status of nodes [38].…”

Section: Flood Attackmentioning

confidence: 99%

Prospectiva de seguridad de las redes de sensores inalámbricos

et al. 2021

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In Wireless Sensor Networks (WSN), nodes are vulnerable to security attacks because they are installed in a harsh environment with limited power and memory, low processing power, and medium broadcast transmission.Therefore, identifying threats, challenges, and solutions of security and privacy is a talkingtopic today. This article analyzes the research work that has been carried out on the security mechanisms for the protection of WSN against threats and attacks, as well as the trends that emerge in other countries combined with future research lines. From the methodological point of view, this analysis is shown through the visualization and study of works indexed in databases such as IEEE, ACM, Scopus,and Springer, with a range of 7 years as an observation window, from 2013 to 2019. A total of 4,728 publications were obtained, with a high rate of collaborationbetween China and India. The research raised developments, such as advances in security principles and defense mechanisms, which have led to the design of countermeasures in intrusion detection. Finally, the results show the interest of the scientific andbusiness community in the use of artificial intelligence and machine learning (ML) to optimize performance measurements.

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Intrusion Detection System for Hybrid DoS Attacks using Energy Trust in Wireless Sensor Networks*

Cited by 41 publications

References 4 publications

A survey of Sybil attack countermeasures in IoT-based wireless sensor networks

A survey of Sybil attack countermeasures in IoT-based wireless sensor networks

Multi-Strategic Trust Evaluation for Intrusion Detection in Wireless Sensor Networks

Prospectiva de seguridad de las redes de sensores inalámbricos

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