PL-IDS: physical layer trust based intrusion detection system for wireless sensor networks

Ghugar, Umashankar; Pradhan, Jayaram; Bhoi, Sourav Kumar; Sahoo, Rashmita; Panda, Sanjaya Kumar

doi:10.1007/s41870-018-0147-7

Cited by 23 publications

(15 citation statements)

References 15 publications

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“…To evaluate the presentation metrics a simulation study is made. In this approach the proposed PDTB-IDS model is compared along with the Existing method PL-IDS [14] and TSSRM.…”

Section: Resultsmentioning

confidence: 99%

“…In this strategy, Kalman channel is utilized to gauge the trust factor of a hub. In [14], proposed a physical layer IDS to give protection at the physical layer. This technique just identifies the refusal of administration attack because of sticking attack.…”

Section: Related Workmentioning

confidence: 99%

“…The last hope at the physical layer is determined [14]. The trust proposed trust the executive's framework can be utilized for different applications, for example, secure correspondence information whole, interruption position, and so forth.…”

Section: Trust Management In Wireless Sensor Networkmentioning

confidence: 99%

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PDTB-IDS: A Parameter and Distributed Trust Based Intrusion Detection System for Wireless Sensor Network

2019

IJRTE

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Wireless sensor network (WSN) is a noteworthy division in present day correspondence frameworks and faith detecting steering convention is utilized to improve security in WSN. Already, Trust Sensing based Secure Routing Mechanism (TSSRM) was projected which will diminish the overhead steering and improve the unwavering quality of information transmission over the system. In any case, the security tool of this technique might be invalid, if the system steering convention is modified. Hence, in this work, a Parameter and Distributed Trust Based Intrusion Detection System (PDTB-IDS) with a safe correspondence structure with a trust the board framework for remote sensor systems are proposed. The significant commitment is to distinguish different parameters and trust factors that impact trust in WSN is conveyed among different factors, for example, vitality, unwavering quality, information, and so on. Subsequently coordinate believe, proposal believe and circuit trust from those components are determined and the general trust estimation of the sensor hub is evaluated by joining the individual trust esteems. The trust model can decide whether or not the specific hub is pernicious or not by looking at trust got from the proposed method. The numerical assessment of the research work is completed with the help of NS2 simulation environment from which it is proved that the projected strategy provides enhanced outcome than the present TSSRM method.

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“…To evaluate the presentation metrics a simulation study is made. In this approach the proposed PDTB-IDS model is compared along with the Existing method PL-IDS [14] and TSSRM.…”

Section: Resultsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

PDTB-IDS: A Parameter and Distributed Trust Based Intrusion Detection System for Wireless Sensor Network

2019

IJRTE

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“…14 surveys the DTN routing protocol and structure the information on how DTN is the best fit for informationcentric networks (ICN). In, 28,29 Trust is introduced for detection of intrusion in WSNs defined at the physical layer. It points out the lack of spatial and transitivity to predict the best next node in DTNs.…”

Section: Related Workmentioning

confidence: 99%

“…The work 27 described in identifies a node by applying to cluster and classifying faulty nodes in WSNs. In, 28,29 Trust is introduced for detection of intrusion in WSNs defined at the physical layer. In a solution, namely, calculated faith value, a creditability based approach 30 is used.…”

Section: Related Workmentioning

confidence: 99%

An optimized trusted‐cluster–based routing in disruption‐tolerant network using experiential learning model

Juyal

Saggar

Pandey

2019

Int J Communication

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Disruption-tolerant network (DTN) implementation is subject to many routing constraints like limited knowledge of the network and intermittent connections with no end-to-end path existence. In this paper, the researchers propose trusted-cluster-based routing protocol (TCR) for routing in DTN. TCR uses the experiential learning model that integrates neural network-based bipolar sigmoid activation function to form trusted-cluster DTN. TCR works in two phases: firstly to form a trusted-cluster and secondly to identify cluster heads to direct network traffic through them. After the formation of the trusted-cluster, a cluster head is chosen for a set period, thus instigating stability in the network. These trust values are attached to the node's route cache to make competitive routing decisions by relaying a message to the other trusted intermediate nodes only. With negative trust value, any node is deprived of participation in the network. This way, TCR eliminates malicious or selfish nodes to participate in the DTN network and minimizes the number of messages forwarded in a densely populated DTN. Also, this implementation conserves sufficient buffer memory to reach the destined node. The TCR's performance with other DTN routing schemes, namely, epidemic and trust-based routing, is compared using multiple simulations runs. The proposed work is verified using mobility traces from Community Resource for Archiving Wireless Data At Dartmouth, and the experimental result shows the elimination of selfish nodes participating in the DTN. The simulation result shows an increase of 19% in message delivery by forwarding only to a trusted intermediate node possible. K E Y W O R D S bipolar sigmoid activation function, delay-tolerant network, experiential learning model, intermittently connected network, optimization, trust-based routing

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Multicast on‐route cluster propagation using to identify the network intrusion detection system in mobile ad hoc network

Theresa¹,

Prakash

Antony³

2021

Int J Communication

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Intrusion detection, become a new paradigm in mobile ad hoc network which provide a sense of security to the existing computer and data network, is a retro-fit approach. The goal of intrusion detection, unauthorized use, misuse, and by insiders and both external penetrator system is to identify the abuse of computer systems. The increase of the connection of the computer system will provide greater access to outsiders; for the intruder, the identification of avoidance becomes a challenge. We propose a multicast on-route cluster propagation (MORCP) based network intrusion detection system to improve the security based on route analysis. The number of IDS of the prototype has been developed in a number of transmissions on miss-behavioral transmission. Some of them also have been experimentally deployed in a production system. In addition, segregate path identification algorithm (SPIA) of host-based and network-based IDS is investigated, and the characteristics of the corresponding system are identified. In host-based systems, most of the network-based IDS, to construct a detection mechanism on the network traffic monitored, as well, while some adoption host audit trail, in order to detect the intrusion activity, input as the main source of information, to adopt an audit trail of the hot operating system. The overview of typical use statistical anomaly detection algorithm in IDS is also included.

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PL-IDS: physical layer trust based intrusion detection system for wireless sensor networks

Cited by 23 publications

References 15 publications

PDTB-IDS: A Parameter and Distributed Trust Based Intrusion Detection System for Wireless Sensor Network

PDTB-IDS: A Parameter and Distributed Trust Based Intrusion Detection System for Wireless Sensor Network

An optimized trusted‐cluster–based routing in disruption‐tolerant network using experiential learning model

Multicast on‐route cluster propagation using to identify the network intrusion detection system in mobile ad hoc network

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