Trust Intrusion Detection System Based on Location for Wireless Sensor Network

Maddar, Hela; Kammoun, Wafa; Youssef, Habib

doi:10.1007/978-3-319-53480-0_82

Cited by 6 publications

(4 citation statements)

References 10 publications

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“…Also, these malicious nodes may modify and tamper with the timestamps of a message with multiple identities, which can cause havoc to synchronise local clocks in IoT devices. Maddar, Kammoun & Youssef (2017) proposed an innovative detection method for Sybil nodes with fake identities before cluster formation in a centralised clustering-based hierarchical network to optimize the usage of the resources. The detection countermeasure works by analysing neighbouring nodes for the received signal strength.…”

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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“…They focused on a type of pollution attack, where malicious nodes can send back a untruthful alarm ranking list via cooperation, in order to compromise the process of alarm aggregation. Maddar et al [120] evaluated a trust-based CIDS under various attacks, such as Hello Flood Attack that uses a powerful radio signal at long range, which seeks to flood part of the network causing false lists of neighbors, and Desynchronization Attack where a hacker attempts to break the connection between two nodes communicating on the network through sending false information to force them being out of synchronization. Meng et al [138] then investigated whether challenge-based CIDNs are suitable for medical smartphone networks (MSNs).…”

Section: )mentioning

confidence: 99%

“…Jin et al [70] then described a CIDN by using Mahalanobis distance to discriminate between the successful/failed interactions of each node, which can enhance the process of trust computation in the aspects of accuracy and efficiency. Maddar et al [120] It is difficult for analysts to handle excessive false alarms, and these false positives may greatly degrade the detection effectiveness. In the literature, building a false alarm filter is an option to enhance the alarm accuracy.…”

Section: )mentioning

confidence: 99%

Surveying Trust-Based Collaborative Intrusion Detection: State-of-the-Art, Challenges and Future Directions

Meng

Kwok

2022

IEEE Commun. Surv. Tutorials

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Owing to the swift growth in cyber attacks, intrusion detection systems (IDSs) have become a necessity to help safeguard personal and organizational assets. However, with the increasing size of computer networks, it becomes difficult for a stand-alone IDS to identify sophisticated and advanced threats, such as DDoS attack, due to the lack of contextual information and knowledge regarding the deployed environments. To tackle this issue, distributed and collaborative IDSs (DIDSs and CIDSs) are developed, which enable a set of IDS nodes to operate in a collaborative way through exchanging required information. In this survey, we first summarize the state-of-the-art for traditional DIDSs according to the collaboration topology, e.g., centralized, decentralized, and distributed, and discuss major external and internal threats. Because of the distributed nature and various threats, trust is often enforced among various IDS nodes. We then summarize the relevant research on trust-based DIDSs/CIDSs in a chronological order. Also, we highlight challenges and future directions in this field. The main purpose of this survey is to stimulate more research efforts in developing robust and practical trust-based collaborative intrusion detection.

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“…PLUS Parameterized and localized trust management scheme for sensor network security [8]. It utilizes a disseminated way to deal with adjust to various operational conditions and various applications.…”

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confidence: 99%

Two Level Intrusion Detection Mechanism For Context and Trust in Wireless Sensor Network

Kagade¹,

Balamurugan²

2020

IJRTE

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21st century is considered as the era of communication, and Wireless Sensor Networks (WSN) have assumed an extremely essential job in the correspondence period. A wireless sensor network is defined as a homogeneous or heterogeneous system contains a large number of sensors, namely called nodes used to monitor different environments in cooperatives. WSN is composed of sensor nodes (S.N.), base stations (B.S.), and cluster head (C.H.). The popularity of wireless sensor networks has been increased day by day exponentially because of its wide scope of utilizations. The applications of wireless sensor networks are air traffic control, healthcare systems, home services, military services, industrial & building automation, network communications, VAN, etc. Thus the wide range of applications attracts attackers. To secure from different types of attacks, mainly intruder, intrusion detection based on dynamic state context and hierarchical trust in WSNs (IDSHT) is proposed. The trust evaluation is carried out in hierarchical way. The trust of sensor nodes is evaluated by cluster head (C.H.), whereas the trust of the cluster head is evaluated by a neighbor cluster head or base station. Hence the content trust, honest trust, and interactive trust are put forward by combining direct evaluation and feedback based evaluation in the fixed hop range. In this way, the complexity of trust management is carried in a hierarchical manner, and trust evaluation overhead is minimized.

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Trust Intrusion Detection System Based on Location for Wireless Sensor Network

Cited by 6 publications

References 10 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

Surveying Trust-Based Collaborative Intrusion Detection: State-of-the-Art, Challenges and Future Directions

Two Level Intrusion Detection Mechanism For Context and Trust in Wireless Sensor Network

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