COMITMENT: A Fog Computing Trust Management Approach

Abstract Internet of Things (IoT) is bringing revolution into today’s world where devices in our surroundings become smart and perform daily-life activities and operations with more precision. The architecture of IoT is heterogeneous as it provides autonomy to nodes that they can communicate among other nodes and can also exchange information at any period. Due to the heterogeneous environment, IoT faces numerous security and privacy challenges, and one of the most significant challenges is the identification of malicious and compromised nodes. In this article, we have proposed a Machine Learning-based trust management approach for edge nodes. The proposed approach is a lightweight process to evaluate trust because edge nodes cannot perform complex computations. To evaluate trust, the proposed mechanism utilizes the knowledge and experience component of trust where knowledge is further based on several parameters. To eliminate the triumphant execution of good and bad-mouthing attacks, the proposed approach utilizes edge clouds, i.e., local data centers, to collect recommendations to evaluate indirect and aggregated trust. The trustworthiness of nodes is ranked between a certain limit where only those that satisfy the threshold value can participate in the network. To validate the performance of a proposed approach we have performed an extensive simulation in comparison with the existing approaches and the result shows the effectiveness of the proposed approach against several potential attacks.

Download Full-text

VANSec: Attack-Resistant VANET Security Algorithm in Terms of Trust Computation Error and Normalized Routing Overhead

Journal of Sensors ◽

10.1155/2018/6576841 ◽

2018 ◽

Vol 2018 ◽

pp. 1-17 ◽

Cited By ~ 11

Author(s):

Sheeraz Ahmed ◽

Mujeeb Ur Rehman ◽

Atif Ishtiaq ◽

Sarmadullah Khan ◽

Armughan Ali ◽

...

Keyword(s):

Trust Management ◽

High Speed ◽

Management Approach ◽

Routing Overhead ◽

Scheme Design ◽

Safety Alert ◽

Vanet Security ◽

On Time Delivery ◽

Computation Error ◽

Link Duration

VANET is an application and subclass of MANETs, a quickly maturing, promising, and emerging technology these days. VANETs establish communication among vehicles (V2V) and roadside infrastructure (V2I). As vehicles move with high speed, hence environment and topology change with time. There is no optimum routing protocol which ensures full-pledge on-time delivery of data to destination nodes, and an absolutely optimum scheme design for flawless packet exchange is still a challenging task. In VANETs, accurate and on-time delivery of fundamental safety alert messages (FSAMs) is highly important to withstand against maliciously inserted security threats affectively. In this paper, we have presented a new security-aware routing technique called VANSec. The presented scheme is more immune and resistive against different kinds of attacks and thwarts malicious node penetration attempts to the entire network. It is basically based on trust management approach. The aim of the scheme is to identify malicious data and false nodes. The simulation results of VANSec are compared with already existing techniques called trust and LT in terms of trust computation error (TCE), end-to-end delay (EED), average link duration (ALD), and normalized routing overhead (NRO). In terms of TCE, VANSec is 11.6% and 7.3% efficient than LT and trust, respectively, while from EED comparison we found VANSec to be 57.6% more efficient than trust and 5.2% more efficient than LT. Similarly, in terms of ALD, VANSec provides 29.7% and 7.8% more stable link duration than trust and LT do, respectively, and in terms of NRO, VANSec protocol has 27.5% and 14% lesser load than that of trust and LT, respectively.

Download Full-text

AgriTrust—A Trust Management Approach for Smart Agriculture in Cloud-based Internet of Agriculture Things

Sensors ◽

10.3390/s20216174 ◽

2020 ◽

Vol 20 (21) ◽

pp. 6174 ◽

Cited By ~ 1

Author(s):

Kamran Ahmad Awan ◽

Ikram Ud Din ◽

Ahmad Almogren ◽

Hisham Almajed

Keyword(s):

Trust Management ◽

Service Providers ◽

Base Station ◽

Security And Privacy ◽

Management Approach ◽

Time Interval ◽

Management Mechanism ◽

Trust Degree ◽

Smart Agriculture ◽

Compromised Nodes

Internet of Things (IoT) provides a diverse platform to automate things where smart agriculture is one of the most promising concepts in the field of Internet of Agriculture Things (IoAT). Due to the requirements of more processing power for computations and predictions, the concept of Cloud-based smart agriculture is proposed for autonomic systems. This is where digital innovation and technology helps to improve the quality of life in the area of urbanization expansion. For the integration of cloud in smart agriculture, the system is shown to have security and privacy challenges, and most significantly, the identification of malicious and compromised nodes along with a secure transmission of information between sensors, cloud, and base station (BS). The identification of malicious and compromised node among soil sensors communicating with the BS is a notable challenge in the BS to cloud communications. The trust management mechanism is proposed as one of the solutions providing a lightweight approach to identify these nodes. In this article, we have proposed a novel trust management mechanism to identify malicious and compromised nodes by utilizing trust parameters. The trust mechanism is an event-driven process that computes trust based on the pre-defined time interval and utilizes the previous trust degree to develop an absolute trust degree. The system also maintains the trust degree of a BS and cloud service providers using distinct approaches. We have also performed extensive simulations to evaluate the performance of the proposed mechanism against several potential attacks. In addition, this research helps to create friendlier environments and efficient agricultural productions for the migration of people to the cities.

Download Full-text

A Blockchain-based Trust Management Approach for Connected Autonomous Vehicles in Smart Cities

2019 IEEE 9th Annual Computing and Communication Workshop and Conference (CCWC) ◽

10.1109/ccwc.2019.8666505 ◽

2019 ◽

Cited By ~ 2

Author(s):

Farah Kandah ◽

Brennan Huber ◽

Anthony Skjellum ◽

Amani Altarawneh

Keyword(s):

Autonomous Vehicles ◽

Trust Management ◽

Smart Cities ◽

Management Approach

Download Full-text

Trust Management Approach to Satellite System Telecommanding Security

Journal of Aerospace Information Systems ◽

10.2514/1.i010025 ◽

2014 ◽

Vol 11 (1) ◽

pp. 19-34

Author(s):

Mark C. Duncan ◽

Kenneth M. Hopkinson ◽

Eric D. Trias ◽

Jeffrey W. Humphries

Keyword(s):

Trust Management ◽

Satellite System ◽

Management Approach

Download Full-text

Trust management in social Internet of vehicles: Factors, challenges, blockchain, and fog solutions

International Journal of Distributed Sensor Networks ◽

10.1177/1550147719825820 ◽

2019 ◽

Vol 15 (1) ◽

pp. 155014771982582 ◽

Cited By ~ 21

Author(s):

Razi Iqbal ◽

Talal Ashraf Butt ◽

Muhammad Afzaal ◽

Khaled Salah

Keyword(s):

Internet Of Things ◽

Trust Management ◽

Vehicular Networks ◽

High Efficiency ◽

Fog Computing ◽

Trust Model ◽

The Internet ◽

Internet Of Vehicles ◽

Social Internet Of Things ◽

Trust Models

The Internet of things is the next stage in the evolution of the Internet that is being materialized with the integration of billions of smart objects. The state-of-the-art communication technologies have enabled the previously isolated devices to become an active part of the Internet. This constant connectivity opens new avenues for novel applications such as the realization of social Internet of things and its subdomain the social Internet of vehicles. Socializing requires sharing of information that entails trust, especially in an open and broad social environment. This article highlights the key factors involved in conceptualizing an efficient trust model for social Internet of vehicles. Furthermore, it focuses on the unique challenges involved in designing the trust models for social Internet of vehicles. Several trust models exist in literature; however, most of the existing trust models are specific to their domains, for example, Internet of things, social Internet of things, or general vehicular networks. This article presents a brief review of the trust models that have the potential to be implemented in Social Internet of vehicles. Finally, the authors present an overview of how trending concepts and emerging technologies like blockchain and fog computing can assist in developing a trust-based social Internet of vehicles model for high-efficiency, decentralized architecture and dynamic nature of vehicular networks.

Download Full-text