Distributed Access Control for Grid Environments Using Trust Management Approach

2005 ◽  
pp. 485-495
Author(s):  
Gang Yin ◽  
Huai-min Wang ◽  
Tao Liu ◽  
Dian-xi Shi ◽  
Ming-feng Chen
Keyword(s):  
Access Control ◽  
Trust Management ◽  
Management Approach ◽  
Distributed Access Control ◽  
Grid Environments

Research on SPKI/SDSI Cridencials and RT0 Cridencials

2011 ◽  
Vol 403-408 ◽  
pp. 2176-2179
Author(s):  
Xiu Hua Geng ◽  
Xiao Lei Zhang
Keyword(s):  
Access Control ◽  
Trust Management ◽  
Large Scale ◽  
Control Mechanism ◽  
Management Systems ◽  
Distributed Access Control ◽  
Large Scale Network ◽  
Scale Network ◽  
Access Control Mechanism

Trust management is a distributed access control mechanism for open, large-scale network. SPKI/SDSI and RT0 are typical trust management systems. This paper compares the different crendentials in those systems essentially, and the result shows that although RT0 crendentials are relatively simple, they are expressively eauivalent to SPKI/SDSI crendentials.

A distributed access control method for wireless LANs in shadowing environments

2001 ◽  
Vol 84 (9) ◽  
pp. 16-26
Author(s):  
Tadao Saito ◽  
Hitoshi Aida ◽  
Terumasa Aoki ◽  
Soichiro Hidaka ◽  
Tredej Toranawigtrai ◽  
...  
Keyword(s):  
Access Control ◽  
Control Method ◽  
Wireless Lans ◽  
Distributed Access Control

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.

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