Covert channel resistant information leakage protection using a multi-agent architecture

Bishop, Stephen; Okhravi, Hamed; Rahimi, Shahram; Lee, Yung-Chuan

doi:10.1049/iet-ifs.2009.0202

Cited by 4 publications

(2 citation statements)

References 12 publications

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“…Yang et al [29] focused on developing an active defense for emergencymanagement system engineering using a MAS. Bishop et al [30] proposed a mobile agent-based approach to automate the process of detecting and monitoring a colored file system for privacy protection. In this paper, we utilize multiagent technology to build our proposed BPS.…”

Section: Literature Reviewmentioning

confidence: 99%

Supporting Business Privacy Protection in Wireless Sensor Networks

et al. 2016

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With the pervasive use of wireless sensor networks (WSNs) within commercial environments, business privacy leakage due to the exposure of sensitive information transmitted in a WSN has become a major issue for enterprises. We examine business privacy protection in the application of WSNs. We propose a business privacy-protection system (BPS) that is modeled as a hierarchical profile in order to filter sensitive information with respect to enterprise-specified privacy requirements. The BPS aims at solving a tradeoff between metrics that are defined to estimate the utility of information and the business privacy risk. We design profile, risk assessment, and filtration agents to implement the BPS based on multiagent technology. The effectiveness of our proposed BPS is validated by experiments.

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Section: Literature Reviewmentioning

confidence: 99%

Supporting Business Privacy Protection in Wireless Sensor Networks

et al. 2016

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“…If the distributor found the document at some unauthorised place, then the unique code is extracted from the document and the guilty entity is identified. A mobile agent‐based information leakage protection system is presented in [11 ]. In this system, the contents of each file are coloured with their respective security classification code through watermarking technique and these files are monitored for potential information leakage detection.…”

Section: Introductionmentioning

confidence: 99%

GUIM‐SMD: guilty user identification model using summation matrix‐based distribution

Gupta

Singh

2020

IET Inf. secur

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Secure Data Storage and Sharing Techniques for Data Protection in Cloud Environments: A Systematic Review, Analysis, and Future Directions

et al. 2022

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A large number of researchers, academia, government sectors, and business enterprises are adopting the cloud environment due to the least upfront capital investment, maximum scalability, and several other features of it. Despite the multiple features supported by the cloud environment, it also suffers several challenges. Data protection is the primary concern in the area of information security and cloud computing. Numerous solutions have been developed to address this challenge. However, there is a lack of comprehensive analysis among the existing solutions and a necessity emerges to explore, classify, and analyze the significant existing work for investigating the applicability of these solutions to meet the requirements. This article presents a comparative and systematic study, and in-depth analysis of leading techniques for secure sharing and protecting the data in the cloud environment. The discussion about each dedicated technique includes: functioning for protecting the data, potential and revolutionary solutions in the domain, the core and adequate information including workflow, achievements, scope, gaps, future directions, etc. about each solution. Furthermore, a comprehensive and comparative analysis of the discussed techniques is presented and the research gaps and future directions are reported in the field. The authors believe that this article's contribution will operate as a catalyst for the potential researchers to carry out the research work in the area.

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Covert channel resistant information leakage protection using a multi-agent architecture

Cited by 4 publications

References 12 publications

Supporting Business Privacy Protection in Wireless Sensor Networks

Supporting Business Privacy Protection in Wireless Sensor Networks

GUIM‐SMD: guilty user identification model using summation matrix‐based distribution

Secure Data Storage and Sharing Techniques for Data Protection in Cloud Environments: A Systematic Review, Analysis, and Future Directions

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