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

Abstract

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.

Behavioral And Perceptual Models for Secure Data Analysis and Management

“…The idea of surveillance capitalism is formed out of this privacy paradigm, worries about Artificial Intelligence and its use by governments to watch, listen actively to, track potential alarm states, or predict various age occurrences that negatively affect society (Pham et al, 2017). The idea of surveillance capitalism promotes human experience as a single source of automated data for predicting human behavior.…”