Privacy and Ownership Preserving of Outsourced Medical Data

Bertino, Elisa; Ooi, Beng Chin; Yang, Yumeng; Deng, Robert H.

doi:10.1109/icde.2005.111

Cited by 106 publications

(61 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although digital watermarking techniques represent a viable solution for the problem of enforcing ownership of medical data (Bertino et al 2005), preliminary studies in watermarking or information hiding techniques have been developed only for embedding text, images, audio or video in to a host signal. Moreover the techniques developed for these databases do not transpose well to other biomedical time series data modalities such as EEG and ECG for the following reasons: 1) The redundancy in a time series of biomedical signals such as EEG or ECG is less compared with an image or audio, and hence embedding data in to these time series data is much more difficult since the reduced redundancy limits possibilities of hiding data and has not been investigated; 2) Audio signal has slow time-varying feature while biomedical signal is the fast changing-time series; 3) The watermark scheme needs to address a significant challenge related to biomedical data that is insertion of a watermark must not result in changing health and medical data of a patient to a level where a decision maker (or system) can misdiagnose the patient; and 4) In most applications, biomedical time series data such as EEG or ECG is recorded from multiple channels and at relatively high sampling frequencies.…”

Section: Current Issues In Sharing and Storing Biomedical Datamentioning

confidence: 99%

“…In healthcare, each collaborator (hospital) needs to share their private local databases with other collaborators in telemedicine system, telediagnosis, telesurgery, and hospital information system (Bhatnagar and Wu 2013). However, there are multiple danger zones like copyright and integrity violations of digital objects (Gupta and Raval 2012), and the sharing of medical data also exposes data holders to threat of data theft (Bertino et al 2005). In reality, lots of incidents can be found where e-health systems become found wanting due to the miss-management and privacy violations of sensitive health data.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Ownership protection of outsourced biomedical time series data based on optimal watermarking scheme in data mining

Pham

Tran

2017

AJIS

View full text Add to dashboard Cite

In the biomedical and healthcare fields, the ownership protection of the outsourced data is becoming a challenging issue in sharing the data between data owners and data mining experts to extract hidden knowledge and patterns. Watermarking has been proved as a rightprotection mechanism that provides detectable evidence for the legal ownership of a shared dataset, without compromising its usability under a wide range of data mining for digital data in different formats such as audio, video, image, relational database, text and software. Time series biomedical data such as Electroencephalography (EEG) or Electrocardiography (ECG) is valuable and costly in healthcare, which need to have owner protection when sharing or transmission in data mining application. However, this issue related to kind of data has only been investigated in little previous research as its characteristics and requirements. This paper proposes an optimized watermarking scheme to protect ownership for biomedical and healthcare systems in data mining. To achieve the highest possible robustness without losing watermark transparency, Particle Swarm Optimization (PSO) technique is used to optimize quantization steps to find a suitable one. Experimental results on EEG data show that the proposed scheme provides good imperceptibility and more robust against various signal processing techniques and common attacks such as noise addition, low-pass filtering, and resampling.

show abstract

Section: Current Issues In Sharing and Storing Biomedical Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Ownership protection of outsourced biomedical time series data based on optimal watermarking scheme in data mining

Pham

Tran

2017

AJIS

View full text Add to dashboard Cite

show abstract

“…With the increasing development of IT outsourcing, a substantial amount of research work has been done on how to verify outsourced data and computation [2,3,[9][10][11][15][16][17]. Merkle hash trees have been used extensively for authentication of data elements [14].…”

Section: Related Workmentioning

confidence: 99%

“…Using a combination of server-side scripts 2 and database connections is a widely used approach in providing dynamic content to online users and in retrieving and storing customer data on databases. These scripts offer website owners a versatile interpreted language that can create complex web environments, with libraries offering connectivity to many other services such as databases.…”

Section: Introductionmentioning

confidence: 99%

Detection and Prevention of Insider Threats in Database Driven Web Services

Chumash

Yao

2009

Trust Management III

View full text Add to dashboard Cite

Abstract. In this paper, we take the first step to address the gap between the security needs in outsourced hosting services and the protection provided in the current practice. We consider both insider and outsider attacks in the third-party web hosting scenarios. We present SafeWS, a modular solution that is inserted between server side scripts and databases in order to prevent and detect website hijacking and unauthorized access to stored data. To achieve the required security, SafeWS utilizes a combination of lightweight cryptographic integrity and encryption tools, software engineering techniques, and security data management principles. We also describe our implementation of SafeWS and its evaluation. The performance analysis of our prototype shows the overhead introduced by security verification is small. SafeWS will allow business owners to significantly reduce the security risks and vulnerabilities of outsourcing their sensitive customer data to third-party providers.

show abstract

“…However, watermarking of database systems started to receive attention because of the increasing use of database systems in many real-life applications. Examples where database watermarking might be of a crucial importance include protecting rights of outsourced relational databases and allowing the creation of secured and copyright-protected web-based services that enable users to search and access databases remotely [6,10,19] . Due to the different characteristics between images or audio and relational data, there exists no image or audio watermarking method suitable for watermarking relational databases.…”

Section: Introductionmentioning

confidence: 99%

Robust and Blind Watermarking of Relational Database Systems

Al-Haj¹,

Odeh²

2008

J. of Computer Science

View full text Add to dashboard Cite

Problem statement: Digital multimedia watermarking technology was suggested in the last decade to embed copyright information in digital objects such images, audio and video. However, the increasing use of relational database systems in many real-life applications created an ever increasing need for watermarking database systems. As a result, watermarking relational database systems is now merging as a research area that deals with the legal issue of copyright protection of database systems. Approach: In this study, we proposed an efficient database watermarking algorithm based on inserting binary image watermarks in non-numeric mutli-word attributes of selected database tuples. Results: The algorithm is robust as it resists attempts to remove or degrade the embedded watermark and it is blind as it does not require the original database in order to extract the embedded watermark. Conclusion: Experimental results demonstrated blindness and the robustness of the algorithm against common database attacks.

show abstract

Privacy and Ownership Preserving of Outsourced Medical Data

Abstract: The demand for the secondary use of medical data is increasing

Cited by 106 publications

References 27 publications

Ownership protection of outsourced biomedical time series data based on optimal watermarking scheme in data mining

Ownership protection of outsourced biomedical time series data based on optimal watermarking scheme in data mining

Detection and Prevention of Insider Threats in Database Driven Web Services

Robust and Blind Watermarking of Relational Database Systems

Contact Info

Product

Resources

About