scholarly journals A Novel Iterative and Dynamic Trust Computing Model for Large Scaled P2P Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Zhenhua Tan ◽  
Xingwei Wang ◽  
Xueyi Wang
Keyword(s):  
Trust Management ◽  
Trust Model ◽  
Computation Method ◽  
Collusion Attack ◽  
Communication Architecture ◽  
P2p Systems ◽  
Iterative Computation ◽  
Main Challenge ◽  
Dynamic Trust ◽  
Complementary Part

Trust management has been emerging as an essential complementary part to security mechanisms of P2P systems, and trustworthiness is one of the most important concepts driving decision making and establishing reliable relationships. Collusion attack is a main challenge to distributed P2P trust model. Large scaled P2P systems have typical features, such as large scaled data with rapid speed, and this paper presented an iterative and dynamic trust computation model named IDTrust (Iterative and Dynamic Trust model) according to these properties. First of all, a three-layered distributed trust communication architecture was presented in IDTrust so as to separate evidence collector and trust decision from P2P service. Then an iterative and dynamic trust computation method was presented to improve efficiency, where only latest evidences were enrolled during one iterative computation. On the basis of these, direct trust model, indirect trust model, and global trust model were presented with both explicit and implicit evidences. We consider multifactors in IDTrust model according to different malicious behaviors, such as similarity, successful transaction rate, and time decay factors. Simulations and analysis proved the rightness and efficiency of IDTrust against attacks with quick respond and sensitiveness during trust decision.

scholarly journals Building a Reputation Attack Detector for Effective Trust Evaluation in a Cloud Services Environment

2021 ◽  
Vol 11 (18) ◽  
pp. 8496
Author(s):  
Salah T. Alshammari ◽  
Khalid Alsubhi
Keyword(s):  
Cloud Computing ◽  
Trust Management ◽  
Trust Model ◽  
Cloud Services ◽  
Security Risk ◽  
Privacy And Security ◽  
Collusion Attack ◽  
Inappropriate Behaviors ◽  
Computing Services ◽  
Cloud Computing Services

Cloud computing is a widely used technology that has changed the way people and organizations store and access information. This technology is versatile, and extensive amounts of data can be stored in the cloud. Businesses can access various services over the cloud without having to install applications. However, cloud computing services are provided over a public domain, which means that both trusted and non-trusted users can access the services. Although there are a number of advantages to cloud computing services, especially for business owners, various challenges are posed in terms of the privacy and security of information and online services. A threat that is widely faced in the cloud environment is the on/off attack, in which entities exhibit proper behavior for a given time period to develop a positive reputation and gather trust, after which they exhibit deception. Another threat often faced by trust management services is a collusion attack, which is also known as collusive malicious feedback behavior. This is carried out when a group of people work together to make false recommendations with the intention of damaging the reputation of another party, which is referred to as a slandering attack, or to enhance their own reputation, which is referred to as a self-promoting attack. In this paper, a viable solution is provided with the given trust model for preventing these attacks. This method works by providing effective security to cloud services by identifying malicious and inappropriate behaviors through the application of trust algorithms that can identify on/off attacks and collusion attacks by applying different security criteria. Finally, the results show that the proposed trust model system can provide high security by decreasing security risk and improving the quality of decisions of data owners and cloud operators.

scholarly journals LSOT: A Lightweight Self-Organized Trust Model in VANETs

2016 ◽  
Vol 2016 ◽  
pp. 1-15 ◽  
Author(s):  
Zhiquan Liu ◽  
Jianfeng Ma ◽  
Zhongyuan Jiang ◽  
Hui Zhu ◽  
Yinbin Miao
Keyword(s):  
Automobile Industry ◽  
Trust Management ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Trust Model ◽  
Trust Evaluation ◽  
Trust Network ◽  
Collusion Attack ◽  
Self Organized ◽  
Hoc Networks

With the advances in automobile industry and wireless communication technology, Vehicular Ad hoc Networks (VANETs) have attracted the attention of a large number of researchers. Trust management plays an important role in VANETs. However, it is still at the preliminary stage and the existing trust models cannot entirely conform to the characteristics of VANETs. This work proposes a novel Lightweight Self-Organized Trust (LSOT) model which contains trust certificate-based and recommendation-based trust evaluations. Both the supernodes and trusted third parties are not needed in our model. In addition, we comprehensively consider three factor weights to ease the collusion attack in trust certificate-based trust evaluation, and we utilize the testing interaction method to build and maintain the trust network and propose a maximum local trust (MLT) algorithm to identify trustworthy recommenders in recommendation-based trust evaluation. Furthermore, a fully distributed VANET scenario is deployed based on the famous Advogato dataset and a series of simulations and analysis are conducted. The results illustrate that our LSOT model significantly outperforms the excellent experience-based trust (EBT) and Lightweight Cross-domain Trust (LCT) models in terms of evaluation performance and robustness against the collusion attack.

Research on mobile Internet mobile agent system dynamic trust model for cloud computing

2019 ◽  
Vol 16 (7) ◽  
pp. 174-194 ◽  
Author(s):  
Weijin Jiang ◽  
Yang Wang ◽  
Yirong Jiang ◽  
Jiahui Chen ◽  
Yuhui Xu ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Mobile Agent ◽  
Trust Model ◽  
Mobile Internet ◽  
System Dynamic ◽  
Agent System ◽  
Dynamic Trust

Modelling Self-Led Trust Value Management in Grid and Service Oriented Infrastructures

2012 ◽  
pp. 122-139
Author(s):  
Antony Brown ◽  
Paul Sant ◽  
Nik Bessis ◽  
Tim French ◽  
Carsten Maple
Keyword(s):  
Trust Management ◽  
Large Scale ◽  
Ad Hoc ◽  
Trust Model ◽  
Management Decision ◽  
Value Management ◽  
Trust Value ◽  
Graph Theoretic ◽  
Collaborative Environment ◽  
Service Oriented

Current developments in grid and service oriented technologies involve fluid and dynamic, ad hoc based interactions between delegates, which in turn, serves to challenge conventional centralised structured trust and security assurance approaches. Delegates ranging from individuals to large-scale VO (Virtual Organisations) require the establishment of trust across all parties as a prerequisite for trusted and meaningful e-collaboration. In this paper, a notable obstacle, namely how such delegates (modelled as nodes) operating within complex collaborative environment spaces can best evaluate in context to optimally and dynamically select the most trustworthy ad hoc based resource/service for e-consumption. A number of aggregated service case scenarios are herein employed in order to consider the manner in which virtual consumers and provider ad hoc based communities converge. In this paper, the authors take the view that the use of graph-theoretic modelling naturally leads to a self-led trust management decision based approach in which delegates are continuously informed of relevant up-to-date trust levels. This will lead to an increased confidence level, which trustful service delegation can occur. The key notion is of a self-led trust model that is suited to an inherently low latency, decentralised trust security paradigm.

Trust Management in Mobile Ad Hoc Networks for QoS Enhancing

2016 ◽  
pp. 632-659
Author(s):  
Ryma Abassi
Keyword(s):  
Mobile Ad Hoc Networks ◽  
Trust Management ◽  
Ad Hoc ◽  
Reliability Evaluation ◽  
Unified Framework ◽  
Collusion Attack ◽  
Direct Observations ◽  
Collaborative Environment ◽  
Hoc Networks ◽  
Definition Of

In a collaborative environment such as MANET, nodes reliability evaluation is vital. Trust Management can be used to ensure such healthy collaboration it offers a formal and unified framework for trust specification and interpretation. Establishing trustworthy relationships is generally done by maintaining a reputation for each node computed based on direct observations or neighbors' observations exchanged using recommendations. Unfortunately, for malicious reason, such method may be faked by cheaters: several nodes collude in order to rate each other with the maximum value and decrease other nodes' reputations by giving negative recommendations. The main contribution of this chapter is then, the proposition of a trust based environment for MANET and securing it against collusion attack in order to enhance the network QoS. This is achieved using three steps: (1) the definition of a formal trust based environment (2) the addition of a process handling collusion attack and (3) the extension of the whole proposition by a delegation process allowing nodes functionalities sharing.

A trust management model based on NSGA-II in mobile grid system

2020 ◽  
Vol 24 (3) ◽  
pp. 235-242
Author(s):  
Grantej Vinod Otari ◽  
Vijay Ram Ghorpade
Keyword(s):  
Trust Management ◽  
Trust Model ◽  
Management Model ◽  
Potential Candidate ◽  
Grid System ◽  
Selfish Nodes ◽  
Mobile Nodes ◽  
Nsga Ii ◽  
Grid Network ◽  
Mobile Grid

Mobile Grid network connects large number of mobile devices like smartphones, tablets, PDAs, wireless digital medical equipment’s etc for the purpose of sharing their resources and performing the task collaboratively and cooperatively. The mobile nodes participating in the mobile grid are autonomous and open in nature making them more vulnerable to data and control attacks made by malicious or selfish nodes. Preventing these malicious or selfish nodes and identifying the trusted nodes to participate in the network is an NP-hard problem. To recognize trusted nodes in the mobile grid system a novel trust management model is proposed in this paper by applying an elitist multi objective optimization algorithm Non-dominated Sorting Genetic Algorithm-II (NSGA-II). The proposed trust management model assesses the trust index of each mobile node in the network using various evaluation factors or attributes and then obtains the non-dominated set of trusted nodes in each front. Comparative analysis of the proposed trust model shows that the proposed model can be a potential candidate for implementing trust management in mobile grid network.

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