The lord of the sense: A privacy preserving reputation system for participatory sensing applications

Michalas, Antonis; Komninos, Nikos

doi:10.1109/iscc.2014.6912480

Cited by 30 publications

(26 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Finally, adding a weight on each of the existing words has the potential to improve the effectiveness of our tool since it will be easier for a digital investigator to identify real criminal activities and categorize them by their importance. This can be done by utilizing a reputation system that will collect users' votes in a privacy-preserving way [3,4,17].…”

Section: Resultsmentioning

confidence: 99%

MemTri

Michalas

Murray

2017

Proceedings of the 2017 International Workshop on Managing Insider Security Threats

Self Cite

View full text Add to dashboard Cite

This work explores the development of MemTri. A memory forensics triage tool that can assess the likelihood of criminal activity in a memory image, based on evidence data artefacts generated by several applications. Fictitious illegal suspect activity scenarios were performed on virtual machines to generate 60 test memory images for input into MemTri. Four categories of applications (i.e. Internet Browsers, Instant Messengers, FTP Client and Document Processors) are examined for data artefacts located through the use of regular expressions. These identified data artefacts are then analysed using a Bayesian Network, to assess the likelihood that a seized memory image contained evidence of illegal firearms trading activity. MemTri's normal mode of operation achieved a high artefact identification accuracy performance of 95.7% when the applications' processes were running. However, this fell significantly to 60% as applications processes' were terminated. To explore improving MemTri's accuracy performance, a second mode was developed, which achieved more stable results of around 80% accuracy, even after applications processes' were terminated.

show abstract

Section: Resultsmentioning

confidence: 99%

MemTri

Michalas

Murray

2017

Proceedings of the 2017 International Workshop on Managing Insider Security Threats

Self Cite

View full text Add to dashboard Cite

show abstract

“…Finally, an area that will benefit from PaaSword framework is the so called participatory sensing [28]. The evolution of this field is driven by the introduction of sensors into mobile devices.…”

Section: Discussionmentioning

confidence: 99%

PaaSword: A Holistic Data Privacy and Security by Design Framework for Cloud Services

et al. 2017

Self Cite

View full text Add to dashboard Cite

Enterprises increasingly recognize the compelling economic and operational benefits from virtualizing and pooling IT resources in the cloud. Nevertheless, the significant and valuable transformation of organizations that adopt cloud computing is accompanied by a number of security threats that should be considered. In this paper, we outline significant security challenges presented when migrating to a cloud environment and propose PaaSword -a novel holistic framework that aspires to alleviate these challenges. Specifically, the proposed framework involves a context-aware security model, the necessary policies enforcement mechanism along with a physical distribution, encryption and query middleware.

show abstract

“…Furthermore, we plan to explore the incorporation of our protocol with mobile sensing applications and with privacy-preserving reputation systems for cloud-based participatory sensing applications. The envisioned system will be based on [19], [20], [21] and will effectively maintain the privacy and anonymity of users [22], [23].…”

Section: Discussionmentioning

confidence: 99%

HealthShare: Using Attribute-Based Encryption for Secure Data Sharing between Multiple Clouds

Michalas

Weingarten

2017

2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)

Self Cite

View full text Add to dashboard Cite

Abstract-In this invited paper, we propose HealthSharea forward-looking approach for secure ehealth data sharing between multiple organizations that are hosting patients' data in different clouds. The proposed protocol is based on a Revocable Key-Policy Attribute-Based Encryption scheme and allows users to share encrypted health records based on a policy that has been defined by the data owner (i.e. patient, a member of the hospital, etc). Furthermore, access to a malicious or compromised user/organization can be easily revoked without the need to generate fresh encryption keys.

show abstract

The lord of the sense: A privacy preserving reputation system for participatory sensing applications

Cited by 30 publications

References 25 publications

MemTri

MemTri

PaaSword: A Holistic Data Privacy and Security by Design Framework for Cloud Services

HealthShare: Using Attribute-Based Encryption for Secure Data Sharing between Multiple Clouds

Contact Info

Product

Resources

About