Implementation of Trust and Reputation Management for Free-Roaming Mobile Agent Security

Geetha, G.; Jayakumar, C.

doi:10.1109/jsyst.2013.2292192

Cited by 16 publications

(4 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A secure authentication model based on IBC for the multi-agent of a single domain, giving a second authentication model based on IBC for multi-agent of multi-domain was proposed in [26]. Authors in [27] described the general security requirements for mobile agent systems and existing security measures. Especially, they pointed out some weaknesses in the field of protecting the carried data of mobile agents.…”

Section: Related Workmentioning

confidence: 99%

Towards a New Model to Secure IoT-based Smart Home Mobile Agents using Blockchain Technology

Sabir¹,

Youssfi

Bouattane

et al. 2020

Eng. Technol. Appl. Sci. Res.

View full text Add to dashboard Cite

The Internet of Things (IoT) is becoming an indispensable part of the actual Internet and continues to extend deeper into the daily lives of people, offering distributed and critical services. Mobile agents are widely used in the context of IoT and due to the possibility of transmitting their execution status from one device to another in an IoT network, they offer many advantages such as reducing network load, encapsulating protocols, exceeding network latency, etc. Also, Blockchain Technology is growing rapidly allowing for the addition of an approved security layer in many areas. Security issues related to mobile agent migration can be resolved with the use of Blockchain. This paper aims to demonstrate how Blockchain Technology can be used to secure mobile agents in the context of the IoT using Ethereum and a Smart Contract. The transactions within the Blockchain are used to detect the malevolent mobile agents that could infiltrate the IoT systems. The proposed model aims to provide a secure migration of mobile agents to ensure security and protect the IoT applications against malevolent agents. The case of a smart home with multiple applications is applied to verify the proposed solution. The model presented in this paper could be extended to a wider selection of IoT systems outside of the smart home.

show abstract

Section: Related Workmentioning

confidence: 99%

Towards a New Model to Secure IoT-based Smart Home Mobile Agents using Blockchain Technology

Sabir¹,

Youssfi

Bouattane

et al. 2020

Eng. Technol. Appl. Sci. Res.

View full text Add to dashboard Cite

show abstract

“…In the model proposed by Geetha and Jayakumar [7] each host evaluates other hosts based on their experience. A trust value of 1 or -1 is assigned for trusted and untrusted, respectively.…”

Section: G Geetha and Jayakumar Trust Modelmentioning

confidence: 99%

A framework for comparison of trust models for multi agent systems

Shehada

Zemerly

Yeun

et al. 2015

2015 International Conference on Information and Communication Technology Research (ICTRC)

View full text Add to dashboard Cite

Agents technology plays an important role in the development of many major service applications. However, balancing between the flexible features agents provide, and their vulnerability to many security oriented attacks are considered a great challenge. In this paper we review trust models that are proposed in the literature to provide trustworthiness and security to Multi Agent Systems (MAS). We subsequently develop a framework for comparison of the various different trust models. Trust models are first compared and classified according to types of evaluations used, weight assignment, consideration of inaccurate evaluations and architecture. They are also compared according to suitability to MAS.

show abstract

“…Reputation mechanisms can provide incentives to prevent malicious behavior [11], [12]. Zhao et al [13] propose a new blockchain-based fair payment to study cyber-physical systems(CPS) in which a reputation system is applied to allow subscribers to evaluate published events and tag publishers based on reputation.…”

Section: Introductionmentioning

confidence: 99%

Consortium Blockchain based Reputation Incentive Mechanism for Recommendation System

Sun¹,

Zhao²,

Ye³

et al. 2021

J-NaNA

View full text Add to dashboard Cite

Recommendation systems have been widely used in many e-commerce services, but it is difficult to gather enough participants to supply their recommendations. Moreover, participants in the system may make malicious recommendations, which will affect the accuracy of recommendation results. In order to provide better recommendation service for users, incentive mechanisms are needed to attract more participants in recommendation and curb their malicious behaviors. In this paper, we propose a consortium blockchain based reputation incentive mechanism for recommendation systems(CRIM). Firstly, the monetary rewards are used to attract participants and motivate them to take part in the recommendation. Secondly, we design the incentive mechanism with reputation which is attached to the rewards. Honest participants will gain more rewards while malicious participants will be penalized. Meanwhile, we adopt the Stackelberg game to maximize the utility of participants, and prove that the mechanism can reach a unique Nash equilibrium. Thirdly, the decentralization and immutability of blockchain can guarantee the credibility and security of the stored data, thus ensuring the openness and transparency of the recommendation. Finally, we implement the system for education resources recommendation and conduct experiments, and the results demonstrate that our incentive mechanism is effective and has significant performance when compared with other incentive mechanisms.

show abstract

Implementation of Trust and Reputation Management for Free-Roaming Mobile Agent Security

Cited by 16 publications

References 20 publications

Towards a New Model to Secure IoT-based Smart Home Mobile Agents using Blockchain Technology

Towards a New Model to Secure IoT-based Smart Home Mobile Agents using Blockchain Technology

A framework for comparison of trust models for multi agent systems

Consortium Blockchain based Reputation Incentive Mechanism for Recommendation System

Contact Info

Product

Resources

About