scholarly journals Linear Regression Trust Management System for IoT Systems

2021 ◽  
Vol 21 (4) ◽  
pp. 15-27
Author(s):  
Ananda Kumar Subramanian ◽  
Aritra Samanta ◽  
Sasmithaa Manickam ◽  
Abhinav Kumar ◽  
Stavros Shiaeles ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Linear Regression ◽  
Internet Of Things ◽  
Management System ◽  
Trust Management ◽  
Learning Ability ◽  
Malicious Node ◽  
Malicious Nodes ◽  
Trust Value ◽  
Trust Management System

Abstract This paper aims at creating a new Trust Management System (TMS) for a system of nodes. Various systems already exist which only use a simple function to calculate the trust value of a node. In the age of artificial intelligence the need for learning ability in an Internet of Things (IoT) system arises. Malicious nodes are a recurring issue and there still has not been a fully effective way to detect them beforehand. In IoT systems, a malicious node is detected after a transaction has occurred with the node. To this end, this paper explores how Artificial Intelligence (AI), and specifically Linear Regression (LR), could be utilised to predict a malicious node in order to minimise the damage in the IoT ecosystem. Moreover, the paper compares Linear regression over other AI-based TMS, showing the efficiency and efficacy of the method to predict and identify a malicious node.

Trust Management in Cloud Computing

2019 ◽  
pp. 1686-1711
Author(s):  
Vijay L. Hallappanavar ◽  
Mahantesh N. Birje
Keyword(s):  
Cloud Computing ◽  
Service Provider ◽  
Management System ◽  
Trust Management ◽  
Service Providers ◽  
Cloud Service ◽  
Network Access ◽  
Trust Value ◽  
Trust Management System ◽  
Computing Services

Cloud computing is a model for enabling everywhere, suitable, on-demand network access. There are a number of challenges to provide cloud computing services and to accomplish this, it is necessary to establish trust across the cloud, between the user and the service provider. It is becoming increasingly complex for cloud users to make distinction among service providers offering similar kinds of services. There must be some mechanisms in the hands of users to determine trustworthiness of service providers so that they can select service providers with confidence and with some degree of assurance that service provider will not behave unpredictably or maliciously. An effective trust management system helps cloud service providers and consumers reap the benefits brought about by cloud computing technologies. Hence the objective of this chapter is to describe existing mechanisms that are used to determine a trust worthiness of a cloud service, various models that are used for calculating a trust value and method to establish trust management system.

scholarly journals Targeted Context based Attacks on Trust Models in IoT Systems

2021 ◽  
Author(s):  
Cody Lewis ◽  
Nan Li ◽  
Vijay Varadharajan
Keyword(s):  
Internet Of Things ◽  
Context Awareness ◽  
Management System ◽  
Trust Management ◽  
Context Aware ◽  
Dynamic Changes ◽  
Trust Management System ◽  
New Type ◽  
Trust Models ◽  
Iot Devices

Trust models play an important role in Internet of Things (IoT) as it provides a means of finding whether a given device can provide a service to a satisfactory level as well as a means for identifying potentially malicious devices in the network. Context awareness in trust models allows a trustor to filter and aggregate evidence by their relevance to the current situation. Context awareness is important in the formulation of trust in IoT networks due to their heterogeneity and due to the dynamic changes in the capabilities of IoT devices. In this paper,we have proposed a new type of context-based attack on context aware trust models for IoT systems. An adversary is able to manipulate the context and impact a target group of IoT devices, while other devices in non-targeted groups are not even aware of the attack. We have demonstrated the effectiveness of this new type of attack on six previously proposed trust models. Through practical simulations and theoretical proofs, we show that the adversaries can launch such context-based attacks against a targeted group of IoT devices in the network. The paper also proposes a new trust management system that can mitigate such context-based attacks.

scholarly journals Gateway based Trust Management System for Internet of Things

2021 ◽  
Vol 11 (4) ◽  
pp. 4750-4763
Author(s):  
Madhura Apte ◽  
Supriya Kelkar ◽  
Aishwarya Dorge ◽  
Shilpa Deshpande ◽  
Pooja Bomble ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Management System ◽  
Trust Management ◽  
Information Network ◽  
Next Generation ◽  
Resource Constrained ◽  
Seamless Integration ◽  
Security Issues ◽  
Trust Management System ◽  
Next Generation Networking

Internet of Things (IoT) a growing phenomenon, refers to the seamless integration of things into the information network. The security in IoT is tampered because of the various attacks which happen due to resource constrained nature of the devices in the network. Thus, although IoT is evolving as an attractive next generation networking paradigm, it can be adopted only when the security issues are resolved. This implies that, in a dynamic and collaborative IoT environment, the devices need to be trustworthy. This paper proposes a gateway based trust management system and an algorithm for computation of trust for the devices. The system focuses on making the computations on the devices lightweight and the network robust. The proposed system is tested against various IoT attacks and results demonstrate that it can clearly identify the malicious device if any, in the IoT network.

scholarly journals Decentralized Self-Enforcing Trust Management System for Social Internet of Things

2020 ◽  
Vol 7 (4) ◽  
pp. 2690-2703 ◽  
Author(s):  
Muhammad Ajmal Azad ◽  
Samiran Bag ◽  
Feng Hao ◽  
Andrii Shalaginov
Keyword(s):  
Internet Of Things ◽  
Management System ◽  
Trust Management ◽  
Trust Management System ◽  
Social Internet Of Things

Trust Management in Cloud Computing

2017 ◽  
pp. 151-183 ◽  
Author(s):  
Vijay L. Hallappanavar ◽  
Mahantesh N. Birje
Keyword(s):  
Cloud Computing ◽  
Service Provider ◽  
Management System ◽  
Trust Management ◽  
Service Providers ◽  
Cloud Service ◽  
Network Access ◽  
Trust Value ◽  
Trust Management System ◽  
Computing Services

Cloud computing is a model for enabling everywhere, suitable, on-demand network access. There are a number of challenges to provide cloud computing services and to accomplish this, it is necessary to establish trust across the cloud, between the user and the service provider. It is becoming increasingly complex for cloud users to make distinction among service providers offering similar kinds of services. There must be some mechanisms in the hands of users to determine trustworthiness of service providers so that they can select service providers with confidence and with some degree of assurance that service provider will not behave unpredictably or maliciously. An effective trust management system helps cloud service providers and consumers reap the benefits brought about by cloud computing technologies. Hence the objective of this chapter is to describe existing mechanisms that are used to determine a trust worthiness of a cloud service, various models that are used for calculating a trust value and method to establish trust management system.

scholarly journals Targeted Context based Attacks on Trust Models in IoT Systems

2021 ◽  
Author(s):  
Cody Lewis ◽  
Nan Li ◽  
Vijay Varadharajan
Keyword(s):  
Internet Of Things ◽  
Context Awareness ◽  
Management System ◽  
Trust Management ◽  
Context Aware ◽  
Dynamic Changes ◽  
Trust Management System ◽  
New Type ◽  
Trust Models ◽  
Iot Devices

Trust models play an important role in Internet of Things (IoT) as it provides a means of finding whether a given device can provide a service to a satisfactory level as well as a means for identifying potentially malicious devices in the network. Context awareness in trust models allows a trustor to filter and aggregate evidence by their relevance to the current situation. Context awareness is important in the formulation of trust in IoT networks due to their heterogeneity and due to the dynamic changes in the capabilities of IoT devices. In this paper,we have proposed a new type of context-based attack on context aware trust models for IoT systems. An adversary is able to manipulate the context and impact a target group of IoT devices, while other devices in non-targeted groups are not even aware of the attack. We have demonstrated the effectiveness of this new type of attack on six previously proposed trust models. Through practical simulations and theoretical proofs, we show that the adversaries can launch such context-based attacks against a targeted group of IoT devices in the network. The paper also proposes a new trust management system that can mitigate such context-based attacks.

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