Trust Management Approach to Satellite System Telecommanding Security

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

EdgeTrust - A Lightweight Data-centric Trust Management Approach for Green Internet of Edge Things

2021 ◽  
Author(s):  
Kamran Ahmad Awan ◽  
Ikram Ud Din ◽  
Ahmad Almogren ◽  
Hasan Ali Khattak ◽  
Joel J.P.C. Rodrigues
Keyword(s):  
Trust Management ◽  
Data Centers ◽  
Threshold Value ◽  
Security And Privacy ◽  
Management Approach ◽  
Heterogeneous Environment ◽  
Local Data ◽  
Extensive Simulation ◽  
Daily Life Activities ◽  
Exchange Information

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.

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

2018 ◽  
Vol 2018 ◽  
pp. 1-17 ◽  
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.

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

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6174 ◽  
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.

scholarly journals COMITMENT: A Fog Computing Trust Management Approach

2020 ◽  
Vol 137 ◽  
pp. 1-16 ◽  
Author(s):  
Mohammed Al-khafajiy ◽  
Thar Baker ◽  
Muhammad Asim ◽  
Zehua Guo ◽  
Rajiv Ranjan ◽  
...  
Keyword(s):  
Trust Management ◽  
Fog Computing ◽  
Management Approach

scholarly journals HadithTrust: Trust Management Approach Inspired by Hadith Science for Peer-to-Peer Platforms

Electronics ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1442
Author(s):  
Amal Alqahtani ◽  
Heba Kurdi ◽  
Majed Abdulghani
Keyword(s):  
Trust Management ◽  
Peer To Peer ◽  
Management Systems ◽  
Management Approach ◽  
Baseline Scenario ◽  
Trust Value ◽  
P2p Systems ◽  
Management Algorithm ◽  
Trust Management System ◽  
Trust Relationships

Peer-to-peer (P2P) platforms are gaining increasing popularity due to their scalability, robustness and self-organization. In P2P systems, peers interact directly with each other to share resources or exchange services without a central authority to manage the interaction. However, these features expose P2P platforms to malicious attacks that reduce the level of trust between peers and in extreme situations, may cause the entire system to shut down. Therefore, it is essential to employ a trust management system that establishes trust relationships among peers. Current P2P trust management systems use binary categorization to classify peers as trustworthy or not trustworthy. However, in the real world, trustworthiness is a vague concept; peers have different levels of trustworthiness that affect their overall trust value. Therefore, in this paper, we developed a novel trust management algorithm for P2P platforms based on Hadith science where Hadiths are systematically classified into multiple levels of trustworthiness, based on the quality of narrator and content. To benchmark our proposed system, HadithTrust, we used two state-of-art trust management systems, EigenTrust and InterTrust, with no-trust algorithm as a baseline scenario. Various experimental results demonstrated the superiority of HadithTrust considering eight performance measures.

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