scholarly journals Trust Evaluation Model for Internet of Things using Mobile Ad hoc Networks

2021 ◽  
Vol 6 (4) ◽  
Author(s):  
Stephen A. Mogaji ◽  
Olaniyi A. Ayeni ◽  
Oluwaseun G. Fadare
Keyword(s):  
Quality Of Service ◽  
Internet Of Things ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Social Trust ◽  
Trust Model ◽  
The Internet ◽  
Mobile Ad Hoc ◽  
Trust Metrics

Internet of Things (IoT) is a theory that embraces various objects and methods of communication to exchange information. Today, IoT is more a descriptive term of a vision that everything should be linked to the internet. As many as the advantages of IoT, its uniqueness poses a new problem in establishing a trustworthy environment amid some of the items due to the lack of appropriate implementation machineries. However, some common network security measures are not adequate to preserve the integrity of information and services exchanged over the internet. As a result, they remain vulnerable to threats ranging from cyber-physical layer and social layer data management risks. IoT in smart environments interrelates with mobile ad hoc network (MANET), becoming even more attractive and economically successful. This research proposes two different metrics approaches namely Social trust metrics and Quality of Service to evaluate the trustworthiness of IoT Applications using MANET nodes and designing trust metrics that are computed using multiple properties of trust and quality of service.  A model would be designed and simulated in NS-2.  The findings of the investigation into the evaluation of trustworthiness and network performance are presented. The proposed system model has 99.31% accuracy when there were 10%malicious nodes in the network. When the number of misbehaving nodes was increased to 50%, the accuracy level dropped to 98.75 percent, a difference of only 0.56%. The results show that the security and trustworthiness of the proposed system is an improvement over the existing models like Collaborative Reputation (CORE) trust model and Ant Based Evidence Distribution (trust) model. The proposed model can be used to address security challenges in a network environment. Keywords— Confidence, Honesty, IoT, MANET, QoS, Trustworthiness.

A Trust Model for Detecting Device Attacks in Mobile Ad Hoc Ambient Home Network

2016 ◽  
Vol 8 (2) ◽  
pp. 16-37
Author(s):  
Akinboro Solomon ◽  
Emmanuel Olajubu ◽  
Ibrahim Ogundoyin ◽  
Ganiyu Aderounmu
Keyword(s):  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Performance Metrics ◽  
Social Trust ◽  
Trust Model ◽  
Convergence Time ◽  
Home Network ◽  
Detection Accuracy ◽  
Malicious Nodes ◽  
Mobile Ad Hoc

This study designed, simulated and evaluated the performance of a conceptual framework for ambient ad hoc home network. This was with a view to detecting malicious nodes and securing the home devices against attacks. The proposed framework, called mobile ambient social trust consists of mobile devices and mobile ad hoc network as communication channel. The trust model for the device attacks is Adaptive Neuro Fuzzy (ANF) that considered global reputation of the direct and indirect communication of home devices and remote devices. The model was simulated using Matlab 7.0. In the simulation, NSL-KDD dataset was used as input packets, the artificial neural network for packet classification and ANF system for the global trust computation. The proposed model was benchmarked with an existing Eigen Trust (ET) model using detection accuracy and convergence time as performance metrics. The simulation results using the above parameters revealed a better performance of the ANF over ET model. The framework will secure the home network against unforeseen network disruption and node misbehavior.

scholarly journals Software-Defined Multilayered Admission Control for Quality of Service Assurance in Mobile Ad-hoc Networks

2020 ◽  
Vol 2020 ◽  
pp. 1-23
Author(s):  
Ponraj Appandairaj ◽  
Kathiravan Kannan
Keyword(s):  
Quality Of Service ◽  
Admission Control ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Wireless Channel ◽  
Path Selection ◽  
Current Status ◽  
Mobile Ad Hoc ◽  
Control Service

Mobile Ad-hoc Network has emerged as a key technology for next-generation networks. Though its rapid growth inspires numerous applications, it is difficult to assure Quality of Service because of its immense scaling caused due to node’s mobility, fading radio signals, and unreliable nature of the wireless channel. To efficiently utilize network resources and accomplish guaranteed Quality of Service, a novel Software-Defined Multilayered Admission Control model that embeds an intelligent Neurofuzzy Inference-based Admission Control service engine is proposed in this paper. Each node makes use of the Neurofuzzy Inference-based Admission Control service to learn, manage, prioritize, and admit data traffic according to user requirement. The service engine exploits fuzzy inference-based admission control process to assess node’s current status using Quality of Service parameters, namely, bandwidth, queue load, and Received Signal Strength Indicator to evaluate the prediction index. The prediction index not only helps in determining the strongly connected neighbors during reliable path selection process but also solely decides whether the admission control session can be admitted or rejected. Moreover, the Neuro-Multilayered Learning process of the service engine helps to self-organize and make the complete network intelligent for instantaneous decision making. The proposed mechanism not only improves the session admission between nodes but also reduces the packet drops assuring successful session completion. Performance analysis using the simulation model proves that the proposed system shows promising gains with assured throughput and low end-to-end delay and has the potential to be applied in real-world scenarios.

scholarly journals Quality-of-Service Routing Using Path and Power Aware Techniques in Mobile Ad Hoc Networks

2008 ◽  
Vol 2008 ◽  
pp. 1-7 ◽  
Author(s):  
R. Asokan ◽  
A. M. Natarajan ◽  
C. Venkatesh
Keyword(s):  
Quality Of Service ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Routing Algorithm ◽  
Performance Comparison ◽  
Network Simulator ◽  
Self Healing ◽  
Mobile Ad Hoc ◽  
Service Routing

Mobile ad hoc network (MANET) is a collection of wireless mobile hosts dynamically forming a temporary network without the aid of any existing established infrastructure. Quality of service (QoS) is a set of service requirements that needs to be met by the network while transporting a packet stream from a source to its destination. QoS support MANETs is a challenging task due to the dynamic topology and limited resources. The main objective of this paper is to enhance the QoS routing for MANET using temporally ordered routing algorithm (TORA) with self-healing and optimized routing techniques (SHORT). SHORT improves routing optimality by monitoring routing paths continuously and redirecting the path whenever a shortcut path is available. In this paper, the performance comparison of TORA and TORA with SHORT has been analyzed using network simulator for various parameters. TORA with SHORT enhances performance of TORA in terms of throughput, packet loss, end-to-end delay, and energy.

scholarly journals Pengujian dan Analisis Quality of Service Mobile Ad-Hoc Network (MANET) Menggunakan Protokol Routing Babel Pada Raspberry Pi

2019 ◽  
Vol 5 (2) ◽  
pp. 79-87
Author(s):  
Shusmita Puspitasari ◽  
Alif Subardono ◽  
Ronald Adrian
Keyword(s):  
Quality Of Service ◽  
Packet Loss ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Raspberry Pi ◽  
Delay Jitter ◽  
Mobile Ad Hoc

Indonesia merupakan kawasan yang rawan bencana. Selain menimbulkan korban, bencana alam juga meruntuhkan banyak infrastuktur, salah satunya infrastruktur komunikasi. Dengan adanya masalah komunikasi dengan infrastuktur yang terbatas seperti yang terjadi di daerah bencana, solusi yang dapat dilakukan adalah dengan membangun Mobile Ad-hoc Network (MANET) karena memerlukan infrastruktur yang sederhana. Pada tugas akhir ini dilakukan pengujian dan analisis kualitas layanan (Quality of service) pada MANET menggunakan perangkat raspberry pi serta routing protokol Babel. QoS mengacu kepada kemampuan jaringan untuk menyediakan layanan yang baik melalui teknologi dan infrastruktur tertentu yang bertujuan untuk pertukaran informasi agar tersampaikan dengan baik. Parameter yang dijadikan acuan dalam penelitian ini antara lain adalah delay, jitter, throughtput dan  packet loss. Pengujian menggunakan topologi mesh dengan empat skenario, satu skenario dengan kondisi full connected dan tiga skenario dengan kondisi partial connected sekalian juga mengetahui mekanisme protokol yang digunakan, selain itu dilakukaan juga saat terjadi interferensi dan tidak terjadi interferensi. Secara keseluruhan, hasil kualitas layanan pada saat pengujian dengan skenario topologi kondisi full connected pada MANET yang dibangun, lebih baik dibandingkan dengan kondisi partial connected.

scholarly journals Efficient Routing in Mobile Adhoc Networks Emphasizing Quality of Service by Trust & Energy based AODV

2015 ◽  
Vol 11 (1) ◽  
pp. 1
Author(s):  
S. Sridhar ◽  
R. Baskaran
Keyword(s):  
Quality Of Service ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Energy Levels ◽  
Threshold Value ◽  
Centralized Management ◽  
Mobile Ad Hoc ◽  
Qos Metrics

Attention in the region of Mobile Ad-hoc Network (MANET) is increasing because of its realistic applications and necessity of communication in mobile devices. A mobile ad hoc network consists of mobile self configuring wireless nodes and these nodes communicate between them without any centralized management. The dynamic characteristics of MANET, has made it fairly demanding to uphold connectivity and guarantee Quality of Service (QoS). The trust based routing is one way to form cooperation among nodes for performing an efficient routing between nodes. In this paper a trust and energy based AODV is presented where nodes are selected for routing based on its trust and energy value. Trust is calculated based on the nodes success and failure rate. Energy calculated based on consumed and remaining energy values. A threshold value is defined and nodes are preferred for routing only if its trust and energy levels are higher than threshold. The work is implemented and simulated on NS-2. The simulation results have shown improvement on QoS metrics when compared with traditional AODV and DSR.

QoS Signaling Security in Mobile Ad Hoc Networks

2010 ◽  
pp. 322-332 ◽  
Author(s):  
Ohm Sornil
Keyword(s):  
Quality Of Service ◽  
Mobile Ad Hoc Networks ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Critical Issue ◽  
Signaling System ◽  
Signaling Systems ◽  
Mobile Ad Hoc ◽  
Hoc Networks

A quality of service (QoS) signaling system is necessary for QoS provision in a mobile ad hoc network (MANET). A QoS signaling system in MANETs is vulnerable to various types of attacks, ranging from fabrication and modification of messages to denial of services, which can cause failures of QoS provisions. Security is thus a critical issue for a signaling system. However, distinctive characteristics of MANETs make security mechanisms effective in conventional networks inapplicable in this environment. This chapter describes issues and challenges, and examines mechanisms specifically designed to provide security for QoS signaling systems in MANETs.

QoS Enabled Improved Location Aided Routing (QEILA)

2019 ◽  
Vol 13 (1) ◽  
pp. 28-38 ◽  
Author(s):  
Prashant Dixit ◽  
Anuradha Pillai ◽  
Rahul Rishi
Keyword(s):  
Quality Of Service ◽  
Real Time ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Battery Life ◽  
Time Data ◽  
Available Bandwidth ◽  
Mobile Ad Hoc

Background: Transmission of heavy and real-time data over wireless links with Quality of Service in Mobile ad-hoc network is a very challenging task. Bandwidth and battery backup parameters are checks for Quality of Service. To provide the Quality of Service in mobile ad-hoc network, the aliveness of a transmitting node has a great concern. Location-aided routing methods for mobile ad-hoc network have gained popularity because of network’s energy saving. Location-aided routing keeps a minimal number of participating nodes for path construction between source and destination, but they did not consider the health of participating nodes that constitute a path. Objective: The objective of this work is harness the location aided routing and builds a protocol which provides Quality of Service in terms of required battery life and available bandwidth. Method: In this work, various patented and non-patented location-based routing and Quality of Service methods for wireless network have been reviewed. The improved location aided routing protocol has been utilized and equipped with Quality of Service check while selecting the next forwarding node for path construction. A novel path preservation procedure is proposed which repair the broken link locally by utilizing candidate next node table. Results: The simulation reveals that the proposed protocol constructs a reliable path consist of trustworthy nodes in terms of battery life and available bandwidth. Conclusion: Proposed work can be utilized for transmitting heavy data traffic in Mobile Ad-hoc network with Quality of Service in real time situation.

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