ali jaber

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Secure Euclidean random distribution for patients' magnetic resonance imaging privacy protection

by beei iaes and ali jaber

Bulletin of Electrical Engineering and Informatics

Patients' information and images transfer among medical institutes represent a major tool for del... more Patients' information and images transfer among medical institutes represent a major tool for delivering better healthcare services. However, privacy and security for healthcare information are big challenges in telemedicine. Evidently, even a small change in patients' information might lead to wrong diagnosis. This paper suggests a new model for hiding patient information inside magnetic resonance imaging (MRI) cover image based on Euclidean distribution. Both least signification bit (LSB) and most signification bit (MSB) techniques are implemented for the physical hiding. A new method is proposed with a very high level of security information based on distributing the secret text in a random way on the cover image. Experimentally, the proposed method has high peak signal to noise ratio (PSNR), structural similarity index metric (SSIM) and reduced mean square error (MSE). Finally, the obtained results are compared with approaches in the last five years and found to be better by increasing the security for patient information for telemedicine.

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On the usefulness of information hiding techniques for wireless sensor networks security

arXiv (Cornell University), Jun 25, 2017

A wireless sensor network (WSN) typically consists of base stations and a large number of wireles... more A wireless sensor network (WSN) typically consists of base stations and a large number of wireless sensors. The sensory data gathered from the whole network at a certain time snapshot can be visualized as an image. As a result, information hiding techniques can be applied to this "sensory data image". Steganography refers to the technology of hiding data into digital media without drawing any suspicion, while steganalysis is the art of detecting the presence of steganography. This article provides a brief review of steganography and steganalysis applications for wireless sensor networks (WSNs). Then we show that the steganographic techniques are both related to sensed data authentication in wireless sensor networks, and when considering the attacker point of view, which has not yet been investigated in the literature. Our simulation results show that the sink level is unable to detect an attack carried out by the nsF5 algorithm on sensed data.

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Correlation-Based Sensor Activity Scheduling Mechanisms for Wireless Sensor Networks

2019 IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA), 2019

Year over year, our world becomes more and more smarter; things around us are increasingly connec... more Year over year, our world becomes more and more smarter; things around us are increasingly connecting to the Internet and share information with people. This hyperconnected world leads to a new generation of Internet called the Internet of things (IoT). In such network, wireless sensor networks (WSN) constitute the eyes of the system that allow to monitor surrounding environments and sending data to a sink node for a latter analyzing. Unfortunately, the limited power energy of the sensors along with the huge amount of data collected, which are almost useless and repetitive, make saving network lifetime and decisions making are the most challenges in WSNs. In this paper, we propose two data correlation techniques followed by two scheduling mechanisms in order to switch correlated sensors into sleep/active modes. The idea behind our approach is to reduce data transmission from neighbouring sensors by eliminating data redundancy thus, saving the sensor energy and enhancing the network lifetime. The first correlation technique aims to search the similarity between datasets based on the variation between sensed data while the second one is based on the data correlation matrix. Through simulation on real sensor data, we evaluated the efficiency of our approach in terms of maintaining the node energies, ensuring zone coverage and preserving the integrity of the information.

Aide à la décision à référence spatiale et systèmes multi-agents : application à la prévention et à la lutte contre les incendies de forêts

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