Ontology-Based Modelling and Information Extracting of Physical Entities in Semantic Sensor Networks

Ahmadinia, Mohammad; Movaghar, Ali; Rahmani, Amir Masoud

doi:10.1080/03772063.2018.1436471

Cited by 6 publications

(4 citation statements)

References 9 publications

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“…In their approach, they focused their attention more on the extension of the representation of sensors, sensed data, and deployment environments to defeat some pre-existing challenges that WSNs have encountered, such as representing the various data (scalar/multimedia) needed for diverse applications (e.g., event detection) and representing different sensor types, etc. In [79], Mohammad, A. et al, 2018, presented ontology-based modeling and information extracting of physical entities in semantic sensor networks. Their approach aimed to semantically model physical entities whose data are collected by sensor networks at a level higher than sensors and their observations.…”

Section: Related Workmentioning

confidence: 99%

Clone Node Detection Attacks and Mitigation Mechanisms in Static Wireless Sensor Networks

Dora

Nemoga

2021

JCP

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The development of the wireless sensor networks technology commonly named WSNs has been gaining a significantly increased amount of attention from researchers over the last few decades. Its large number of sensor nodes is one of the features that makes it beneficial to the technology. The sensors can communicate with each other to form a network. These sensor nodes are generally used for diverse applications, such as pressure monitoring, fire detection, target tracking, and health monitoring, etc. However, the downside is that WSNs are often deployed in hostile, critical environments where they do not restrain physical access. This reality makes them incredibly vulnerable to clone node attacks or node replication attacks. The adversary can capture the legitimate sensor nodes, extract them and then collect some sensitive information, such as node ID, keys and perform a replication attack. This possibility will afterward facilitate the attacker to be able to take control of the whole network and execute the same functions as that of the authorized nodes. Based on this vulnerability, it is of great importance for researchers to invent a detection protocol for the clone attacks as well as a mitigation method. From all of the researches that have been published, a lot of them proposed some techniques to detect the clone node attacks and also to mitigate the attacks. However, almost none of them semantically focused on the security layer establishment. Based on this fact, we proposed an ontology-based approach Ontology for Replication Attacks in Static Wireless Sensor Networks “ORASWSN”, which can semantically be used for the detection and mitigation of the attacks by taking into consideration the importance of using security layers.

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Section: Related Workmentioning

confidence: 99%

Clone Node Detection Attacks and Mitigation Mechanisms in Static Wireless Sensor Networks

Dora

Nemoga

2021

JCP

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“…In this section, it is attempted to model the physical entities whose information is collected by the sensor network at a higher level of sensors and their obser-vation [2]. For this purpose, ontology is presented for semantic modelling of real-world physical entities.…”

Section: Physical Entities Semantic Modelling (Pesm)mentioning

confidence: 99%

“…Considering all the facts mentioned above, this paper firstly intends to use a method for semantic and tempo-ral modelling of physical entities that is monitored by a sensor network and their interrelationships. For this purpose, ontology is used for semantic modelling of real-world physical entities (PESM ontology) [2]. Afterwards, the developments required to model time, space and entity interrelationship will be added to the model.…”

Section: Introductionmentioning

confidence: 99%

Semantic Data Gathering of Physical Entities in Semantic Sensor Networks Using Software Agents

Ahmadinia

Movaghar

Rahmani

2018

ITC

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In a wireless sensor network, with numerous sensor nodes, a huge volume of data is produced. For the massive data generated by sensor networks to be understood by the machine, semantic web technologies such as ontology need to be applied. On the other hand, since the end users intend to access the high-level physical entities information monitored by the sensor network, the applicability of sensor networks can be enhanced through proposing a strategy to extract the data based on entities instead of extracting the raw sensor data. Hence, in this paper firstly, ontology will be presented for physical entities semantic modelling (PESM). Secondly, an appropriate strategy will be offered to collect and aggregate data on physical entities through software agents. The result of modelling and simulation of the proposed method represents its desirable performance to other previous strategies.

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“…5,16,17 Since formal verification can be used to evaluate the complex communication systems and NP-complete problems, 18 recent research studies have analyzed proposed methods using formal verification methods 19 in forms of model checking, [20][21][22][23][24][25][26][27] process algebra, 8,[28][29][30][31] and theorem proving [32][33][34] methods. In other hand, formal verification method is an essential issue in the complex communication systems development such as cloud computing, 35 SDN, WSN, 36,37 and IoT. 24,26 By means of formal verification, we can authorize the functional specifications of distributed systems.…”

Section: Introductionmentioning

confidence: 99%

Formal verification approaches in the web service composition: A comprehensive analysis of the current challenges for future research

Souri

Rahmani

Navimipour

2018

Int J Communication

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Summary Today, service composition is emerging paradigm on the communication networks such as cloud environments, internet of things, wireless sensor network, and software‐defined network. The goal of service composition method is to provide the interactions between user requirements and smart objects of intelligent communication systems. There have been many efforts to use formal verification and behavioral modeling methods to evaluate the service composition mechanisms. Up to now, there is not a comprehensive analysis research on this topic. Therefore, this paper focuses on several formal verification approaches that are performed to confirm the service composition correctness in communication networks. The objective of this paper is to comprehensively categorize and examine current research techniques on formal verification of the service composition. This research analysis provides an overview of recent service composition approaches according to structural and functional properties. Comparison results show that most of the verification approaches in explanation of the service composition correctness are semantic‐aware approach with 43%. The most used verification method for the service composition is model checking with 69%. The process algebra is used 29%, and some theorem proving methods are applied in 9% of the investigated mechanism. Moreover, most widely used modeling tools are NuSMV (22%), SPIN (17%), CPN (12%), UPPAAL (12%), Event‐B (10%), and PAT (5%).

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Ontology-Based Modelling and Information Extracting of Physical Entities in Semantic Sensor Networks

Cited by 6 publications

References 9 publications

Clone Node Detection Attacks and Mitigation Mechanisms in Static Wireless Sensor Networks

Clone Node Detection Attacks and Mitigation Mechanisms in Static Wireless Sensor Networks

Semantic Data Gathering of Physical Entities in Semantic Sensor Networks Using Software Agents

Formal verification approaches in the web service composition: A comprehensive analysis of the current challenges for future research

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