A context-aware encryption protocol suite for edge computing-based IoT devices

Heterogeneous devices are connected with each other through wireless links within a cyber physical system. These devices undergo resource constraints such as battery, bandwidth, memory and computing power. Moreover, the massive interconnections of these devices result in network latency and reduced speed. Edge computing offers a solution to this problem in which devices transmit the preprocessed actionable data in a formal way, resulting in reduced data traffic and improved speed. However, to provide the same level of security to each piece of information is not feasible due to limited resources. In addition, not all the data generated by Internet of things devices require a high level of security. Context-awareness principles can be employed to select an optimal algorithm based on device specifications and required information confidentiality level. For context-awareness, it is essential to consider the dynamic requirements of data confidentiality as well as device available resources. This paper presents a context-aware encryption protocol suite that selects optimal encryption algorithm according to device specifications and the level of data confidentiality. The results presented herein clearly exhibit that the devices were able to save 79% memory consumption, 56% battery consumption and 68% execution time by employing the proposed context-aware encryption protocol suite

Implementation of Image Processing Based Digital Dactylology Converser for Deaf-Mute Persons

Language of signs is usually used by the deaf-mute persons in order to convey their message. But, it becomes very difficult for those who have no knowledge of the sign language. The aim of this research work is to resolve this problem using Digital Dactylology Converser (DOC) which is a device that converts a sign language into voice signal and text message. Primarily a hands gesture is recognised by computer vision program and based on that image a speech and text is played and displayed on the speaker and LCD respectively. Purpose of this device is to make conversation easy between dumb and the normal people around the world. In order to minimize their limitations and enable them to expand their boundaries, this is best suitable device. Experimental results verify the operational accuracy of the device for different users. The proposed device can work well and translates the letters, alphabets to text and soun

Exome sequencing in four families with neurodevelopmental disorders: genotype-phenotype correlation and identification of novel disease-causing variants in VPS13B and RELN

Neurodevelopmental disorders (NDDs) are a clinically and genetically heterogeneous group of early-onset pediatric disorders that affect the structure and/or function of the central or peripheral nervous system. Achieving a precise molecular diagnosis for NDDs may be challenging due to the diverse genetic underpinnings and clinical variability. In the current study, we investigated the underlying genetic cause(s) of NDDs in four unrelated Pakistani families. Using exome sequencing (ES) as a diagnostic approach, we identified disease-causing variants in established NDD-associated genes in all families, including one hitherto unreported variant in RELN and three recurrent variants in VPS13B, DEGS1, and SPG11. Overall, our study highlights the potential of ES as a tool for clinical diagnosis