Distributed Trust Management Mechanism for the Internet of Things

2013 ◽  
Vol 347-350 ◽  
pp. 2463-2467 ◽  
Author(s):  
Jing Pei Wang ◽  
Sun Bin ◽  
Yang Yu ◽  
Xin Xin Niu
Keyword(s):  
Trust Management ◽  
Formal Method ◽  
Formal Semantics ◽  
Core Layer ◽  
Service Model ◽  
Management Mechanism ◽  
Trust Mechanism ◽  
Security Issues ◽  
Frame Work ◽  
Distributed Trust Management

Trust management provides a potential solution for the security issues of distributed networks. However, there are rare researches about the trust mechanism for IoT in the literature. A new distributed trust management mechanism for IoT is established in this paper. Firstly, we extract three basic elements-service, decision-making and self-organizing, of trust management from the investigated trust solutions. Then, based on a service model, we establish a trust management frame-work for the layered IoT, which is decomposed into three layers: sensor layer, core layer and application layer. Finally, we use fuzzy set theory and formal semantics-based language to perform the layered trust mechanism. The proposed trust conception, layered service model and formal method provide a general framework for the study of trust management for the IoT, and further provide a significant reference for the development of sound trust models for IoT.

scholarly journals RobustTrust – A Pro-Privacy Robust Distributed Trust Management Mechanism for Internet of Things

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 62095-62106 ◽  
Author(s):  
Kamran Ahmad Awan ◽  
Ikram Ud Din ◽  
Ahmad Almogren ◽  
Mohsen Guizani ◽  
Ayman Altameem ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Trust Management ◽  
Management Mechanism ◽  
Distributed Trust Management

Trust-Based SAODV Protocol with Intrusion Detection, Trust Management and Incentive Cooperation in MANETs

2011 ◽  
pp. 232-248
Author(s):  
Floriano De Rango
Keyword(s):  
Intrusion Detection ◽  
Trust Management ◽  
Delivery Ratio ◽  
Network Resources ◽  
Malicious Nodes ◽  
Detection Mechanism ◽  
Trust Mechanism ◽  
Security Issues ◽  
Computationally Intensive ◽  
Security Operations

Distributed wireless systems present many security issues, and offering security preserving network resources is often a challenging effort. Offering security through only cryptography is not always a suitable solution if the high dynamic context of MANET is considered and the trust mechanism that reduces the computationally intensive number of security operations becomes strategic. In this work, a well-known routing protocol, called SAODV, has been considered. To improve its performance and offer more resilience to attack from malicious nodes authenticated by the network, some additional features are added. A preventive approach based on a cryptographic mechanism and a reactive approach to detect anomalous and malicious nodes are considered. An extension of SAODV offering an Intrusion Detection Mechanism (IDM) and a Trust-based Mechanism (TBM) to promote the collaboration of the cooperating nodes and penalize the selfish nodes are proposed. Simulation results were performed under a NS-2 simulator to show the effectiveness of our proposal compared with AODV and SAODV. Simulation parameters, such as Normalized Routing Overhead, Data Packet Delivery Ratio, average number of signatures and throughput of collaborating and malicious nodes, have been considered.

Trust-Based SAODV Protocol with Intrusion Detection, Trust Management and Incentive Cooperation in MANETs

2010 ◽  
pp. 1488-1505
Author(s):  
Floriano De Rango
Keyword(s):  
Intrusion Detection ◽  
Trust Management ◽  
Delivery Ratio ◽  
Network Resources ◽  
Malicious Nodes ◽  
Detection Mechanism ◽  
Trust Mechanism ◽  
Security Issues ◽  
Computationally Intensive ◽  
Security Operations

Distributed wireless systems present many security issues, and offering security preserving network resources is often a challenging effort. Offering security through only cryptography is not always a suitable solution if the high dynamic context of MANET is considered and the trust mechanism that reduces the computationally intensive number of security operations becomes strategic. In this work, a well-known routing protocol, called SAODV, has been considered. To improve its performance and offer more resilience to attack from malicious nodes authenticated by the network, some additional features are added. A preventive approach based on a cryptographic mechanism and a reactive approach to detect anomalous and malicious nodes are considered. An extension of SAODV offering an Intrusion Detection Mechanism (IDM) and a Trust-based Mechanism (TBM) to promote the collaboration of the cooperating nodes and penalize the selfish nodes are proposed. Simulation results were performed under a NS-2 simulator to show the effectiveness of our proposal compared with AODV and SAODV. Simulation parameters, such as Normalized Routing Overhead, Data Packet Delivery Ratio, average number of signatures and throughput of collaborating and malicious nodes, have been considered.

scholarly journals Wireless Communications and Mobile Computing Blockchain-Based Trust Management in Distributed Internet of Things

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Fengyin Li ◽  
Dongfeng Wang ◽  
Yilei Wang ◽  
Xiaomei Yu ◽  
Nan Wu ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Trust Management ◽  
Risk Measures ◽  
Electronic Devices ◽  
Third Party ◽  
Mobile Edge Computing ◽  
Trust Mechanism ◽  
Security Issues ◽  
Close Cooperation ◽  
Iot Devices

The development of Internet of Things (IoT) and Mobile Edge Computing (MEC) has led to close cooperation between electronic devices. It requires strong reliability and trustworthiness of the devices involved in the communication. However, current trust mechanisms have the following issues: (1) heavily relying on a trusted third party, which may incur severe security issues if it is corrupted, and (2) malicious evaluations on the involved devices which may bias the trustrank of the devices. By introducing the concepts of risk management and blockchain into the trust mechanism, we here propose a blockchain-based trust mechanism for distributed IoT devices in this paper. In the proposed trust mechanism, trustrank is quantified by normative trust and risk measures, and a new storage structure is designed for the domain administration manager to identify and delete the malicious evaluations of the devices. Evidence shows that the proposed trust mechanism can ensure data sharing and integrity, in addition to its resistance against malicious attacks to the IoT devices.

Trust-Based SAODV Protocol with Intrusion Detection, Trust Management and Incentive Cooperation in MANETs

2009 ◽  
Vol 1 (4) ◽  
pp. 54-70 ◽  
Author(s):  
Floriano De Rango
Keyword(s):  
Intrusion Detection ◽  
Trust Management ◽  
Delivery Ratio ◽  
Network Resources ◽  
Malicious Nodes ◽  
Detection Mechanism ◽  
Trust Mechanism ◽  
Security Issues ◽  
Computationally Intensive ◽  
Security Operations

Distributed wireless systems present many security issues, and offering security preserving network resources is often a challenging effort. Offering security through only cryptography is not always a suitable solution if the high dynamic context of MANET is considered and the trust mechanism that reduces the computationally intensive number of security operations becomes strategic. In this work, a well-known routing protocol, called SAODV, has been considered. To improve its performance and offer more resilience to attack from malicious nodes authenticated by the network, some additional features are added. A preventive approach based on a cryptographic mechanism and a reactive approach to detect anomalous and malicious nodes are considered. An extension of SAODV offering an Intrusion Detection Mechanism (IDM) and a Trust-based Mechanism (TBM) to promote the collaboration of the cooperating nodes and penalize the selfish nodes are proposed. Simulation results were performed under a NS-2 simulator to show the effectiveness of our proposal compared with AODV and SAODV. Simulation parameters, such as Normalized Routing Overhead, Data Packet Delivery Ratio, average number of signatures and throughput of collaborating and malicious nodes, have been considered.

Ensuring Correctness, Completeness, and Freshness for Outsourced Tree-Indexed Data

2010 ◽  
pp. 693-710
Author(s):  
Tran Khanh Dang
Keyword(s):  
Research Work ◽  
Data Integrity ◽  
Experimental Results ◽  
Actual Data ◽  
Service Model ◽  
Security Issues ◽  
Data Owner ◽  
Database Service ◽  
Outsourced Database ◽  
Theoretical Analyses

In an outsourced database service model, query assurance takes an important role among well-known security issues. To the best of our knowledge, however, none of the existing research work has dealt with ensuring the query assurance for outsourced tree-indexed data. To address this issue, the system must prove authenticity and data integrity, completeness, and freshness guarantees for the result set. These objectives imply that data in the result set is originated from the actual data owner and has not been tampered with; the server did not omit any tuples matching the query conditions; and the result set was generated with respect to the most recent snapshot of the database. In this paper, we propose a vanguard solution to provide query assurance for outsourced tree-indexed data on untrusted servers with high query assurance and at reasonable costs. Experimental results with real datasets confirm the effciency of our approach and theoretical analyses.

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