Centralized Trust-Based Secure Routing in Wireless Networks

Yun, Jusik; Seo, Sunho; Chung, Jong-Moon

doi:10.1109/lwc.2018.2858231

Cited by 18 publications

(9 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Trust management is a scheme that can enhance the security level by determining the reliability of an entity (based on its behavior pattern) in a network [5], or help improve networking functions, such as secure routing [6] and clustering [7]. The basic trust evaluation is based on peer-to-peer evaluations among nodes, where a honest node should behave in a way that is consistent with the majority of honest nodes in the network.…”

Section: A Trust Management Systemmentioning

confidence: 99%

Trust-Based Shard Distribution Scheme for Fault-Tolerant Shard Blockchain Networks

2019

Self Cite

View full text Add to dashboard Cite

Blockchains guarantee data integrity through consensus of distributed ledgers based on multiple validation nodes called miners. For this reason, any blockchain system can be critically disabled by a malicious attack from a majority of the nodes (e.g., 51% attack). These attacks are more likely to succeed as the number of nodes required for consensus is smaller. Recently, as blockchains are becoming too large (making them difficult to store, send, receive, and manage), sharding is being considered as a technology to help improve the transaction throughput and scalability of blockchains. Sharding distributes block validators to disjoint sets to process transactions in parallel. Therefore, the number of validators of each shard group is smaller, which makes shard-based blockchains more vulnerable to 51% attacks than blockchains that do not use sharding. To solve this problem, this paper proposes a trust-based shard distribution (TBSD) scheme that assigns potential malicious nodes in the network to different shards, preventing malicious nodes from gaining a dominating influence on the consensus of a single shard. TBSD uses a trust-based shard distribution scheme to prevent malicious miners from gathering in on one shard by integration of a trust management system and genetic algorithm (GA). First, the trust of all nodes is computed based on the previous consensus result. Then, a GA is used to compute the shard distribution set to prevent collusion of malicious miners. The performance evaluation shows that the proposed TBSD scheme results in a shard distribution with a higher level of fairness than existing schemes, which provides an improved level of protection against malicious attacks.

show abstract

Section: A Trust Management Systemmentioning

confidence: 99%

Trust-Based Shard Distribution Scheme for Fault-Tolerant Shard Blockchain Networks

2019

Self Cite

View full text Add to dashboard Cite

show abstract

“…In addition, Yun et al proposed a centralized trust‐based secure routing scheme for wireless networks, 26 to provide better performance compared to the active trust routing and shortest path routing schemes. To improve the security of routing protocol, generally, the trust value was introduced into the design of the protocol as the important factor.…”

Section: Related Workmentioning

confidence: 99%

BTDS: Bayesian‐based trust decision scheme for intelligent connected vehicles in VANETs

Fang

Zhang

Liu

et al. 2020

Trans Emerging Tel Tech

View full text Add to dashboard Cite

Intelligent connected vehicles (ICVs) are becoming the mainstream of the global automotive industry in the future, and its information security issues gradually emerge. The heterogeneity of Vehicle Ad hoc NETworks (VANETs) and the mobility of terminal nodes make the defense against the security attacks very complex, especially the internal attacks. In this article, toward defense against the internal attacks for ICVs in VANETs, we first propose a Gaussian-distribution-based and third-party-recommendation trust management model, which is called GTTMM, to solve the issue that the trust value increases too fast under continuous cooperation. And Bayesian-based trust decision scheme extending from GTTMM is named as BDTS, which incorporates the Bayesian Network, for defending against a variant of On-Off attack, called high trust value On-Off attack (HTV-On-Off attack). With the simulation study, it is demonstrated that, compared with reputation-based framework for high integrity sensor networks (RFSN), a traditional trust management model under the Beta distribution, GTTMM can better satisfy the principle of trust value, that is, "hard to get, easy to lose", while BDTS can defend against the HTV-On-Off attack effectively.

show abstract

“…The trust is evaluated according to the reputation of paths, but the detection accuracy depends heavily on the network diversity. Some other related studies can refer but not limited to [3,7,15,21].…”

Section: Related Workmentioning

confidence: 99%

DCONST: Detection of Multiple-Mix-Attack Malicious Nodes Using Consensus-Based Trust in IoT Networks

Liu

Meng

2020

Information Security and Privacy

View full text Add to dashboard Cite

 Users may download and print one copy of any publication from the public portal for the purpose of private study or research.  You may not further distribute the material or use it for any profit-making activity or commercial gain  You may freely distribute the URL identifying the publication in the public portal If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.

show abstract

Centralized Trust-Based Secure Routing in Wireless Networks

Cited by 18 publications

References 8 publications

Trust-Based Shard Distribution Scheme for Fault-Tolerant Shard Blockchain Networks

Trust-Based Shard Distribution Scheme for Fault-Tolerant Shard Blockchain Networks

BTDS: Bayesian‐based trust decision scheme for intelligent connected vehicles in VANETs

DCONST: Detection of Multiple-Mix-Attack Malicious Nodes Using Consensus-Based Trust in IoT Networks

Contact Info

Product

Resources

About