Blockchain Solution for IoT-based Critical Infrastructures: Byzantine Fault Tolerance

© 2020 IEEE. Providing an acceptable level of security for Internet of Things (IoT)-based critical infrastructures, such as the connected vehicles, considers as an open research issue. Nowadays, blockchain overcomes a wide range of network limitations. In the context of IoT and blockchain, Byzantine Fault Tolerance (BFT)-based consensus protocol, that elects a set of authenticated devices/nodes within the network, considers as a solution for achieving the desired energy efficiency over the other consensus protocols. In BFT, the elected devices are responsible for ensuring the data blocks\u27 integrity and preventing the concurrently appended blocks that might contain some malicious data. In this paper, we evaluate the fault-tolerance with different network settings, i.e., the number of connected vehicles. We verify and validate the proposed model with MATLAB/Simulink package simulations. The results show that our proposed hybrid scenario performed over the non-hybrid scenario taking throughput and latency in the consideration as the evaluated metrics

An IoT-Based Non-invasive Diabetics Monitoring System for Crucial Conditions

Diabetes is among the major chronic disease around the world since the Glucose level could change drastically and lead to critical conditions reaching to death sometimes. To avoid this, diabetes patient are always advised to track their glucose level at least three times a day. Fingertip pricking - as the traditional method for glucose level tracking - leads patients to be distress and it might infect the skin. In some cases, tracking the glucose level might be a hard job especially if the patient is a child. In this manuscript, we present an optimum solution to this drawback by adopting the Wireless Sensor Network (WSN)-based non-invasive strategies. Near-Infrared (NIR) -as an optical method of the non-invasive technique - has been adopted to help diabetic patients in continuously monitoring their blood without pain. The proposed solution will alert the patients’ parents or guardians of their situation when they about to reach critical conditions specially at night by sending alarms and notifications by Short Messages (SMS) along with the patients current location to up to three people

Folic acid restores endothelial function in ACTH-induced hypertension

AbstractHypertension is associated with increased oxidative stress and vascular endothelium dysfunction. The aim was to study the effect of folic acid (FA) on hypertension, blood nitric oxide (NO), homocysteine (HCY), malondialdehyde (MDA) and reduced glutathione (GSH); aortic tissue glutathione peroxidase (GPx), catalase (CAT), superoxide dismutase (SOD); and vascular endothelial function in adrenocorticotrophic hormone (ACTH)-induced hypertension rats. Rats were treated with saline or FA alone (0.04g/L/day orally, control), or subcutaneous ACTH-induced hypertension (0.2mg/kg/day, ACTH) groups. Treated FA groups were started before (Folic–ACTH, prevention) and during (ACTH–Folic, reversal) ACTH administrations. Systolic blood pressure (SBP), thymus/body weight ratio, blood urea, creatinine, NO, HCY, MDA and GSH; aortic endothelium-dependent vasodilator (EDD) in response to acetylcholine (ACh), aortic tissue extract for CAT, GPx, and SOD activity; and histopathological changes of aorta and kidney were assessed. Saline or FA alone did not change SBP (P>0.05). FA, in prevention study, significantly decreased SBP, increased serum NO and GSH, enhanced relaxation response (EDD%) to 1×10−4M ACh; increased aortic tissue GPx, CAT and SOD activity, also revealed nearly normal endothelial cell layer and moderately positive cytoplasmic staining for CD34+ expression versus ACTH-treated rats (P<0.05). In contrast, FA, in reversal study, did not show significant changes in most of the measured parameters as ACTH-treated group (P>0.05). FA can be used as an adjuvant therapy for prevention and treatment of ACTH-induced hypertension. The protective role of FA in ACTH-induced hypertension could be attributed via decreasing HCY, MDA (oxidative stress); increasing NO, GSH, GPx, CAT, SOD activity (antioxidants); and restoring endothelial dysfunction

Exposing Vulnerabilities in Mobile Networks: A Mobile Data Consumption Attack

Smartphone carrier companies rely on mobile networks for keeping an accurate record of customer data usage for billing purposes. In this paper, we present a vulnerability that allows an attacker to force the victim's smartphone to consume data through the cellular network by starting the data download on the victim's cell phone without the victim's knowledge. The attack is based on switching the victim's smartphones from the Wi-Fi network to the cellular network while downloading a large data file. This attack has been implemented in real-life scenarios where the test's outcomes demonstrate that the attack is feasible and that mobile networks do not record customer data usage accurately.Comment: 5 pages, 6 figures, presented on IEEE MASS 201

Towards Bilateral Client Selection in Federated Learning Using Matching Game Theory

Federated Learning (FL) is a novel distributed privacy-preserving learning paradigm, which enables the collaboration among several devices. However, selecting the participants that would contribute to this collaborative training is highly challenging. Adopting a random selection strategy would entail substantial problems due to the heterogeneity in terms of data quality and resources across the participants. To overcome this problem, we propose an intelligent client selection approach for federated learning on IoT devices using matching game theory. Our solution involves the design of: (1) preference functions for the client IoT devices and federated servers to allow them to rank each other according to several criteria such as accuracy and price, and (2) intelligent matching algorithms that take into account the preferences of both parties in their design. Based on our simulation findings, our strategy surpasses the VanillaFL selection approach in terms of maximizing both the revenues of the client devices and accuracy of the global federated learning model

FedMint: Intelligent Bilateral Client Selection in Federated Learning with Newcomer IoT Devices

Federated Learning (FL) is a novel distributed privacy-preserving learning paradigm, which enables the collaboration among several participants (e.g., Internet of Things devices) for the training of machine learning models. However, selecting the participants that would contribute to this collaborative training is highly challenging. Adopting a random selection strategy would entail substantial problems due to the heterogeneity in terms of data quality, and computational and communication resources across the participants. Although several approaches have been proposed in the literature to overcome the problem of random selection, most of these approaches follow a unilateral selection strategy. In fact, they base their selection strategy on only the federated server’s side, while overlooking the interests of the client devices in the process. To overcome this problem, we present in this paper FedMint, an intelligent client selection approach for federated learning on IoT devices using game theory and bootstrapping mechanism. Our solution involves the design of: (1) preference functions for the client IoT devices and federated servers to allow them to rank each other according to several factors such as accuracy and price, (2) intelligent matching algorithms that take into account the preferences of both parties in their design, and (3) bootstrapping technique that capitalizes on the collaboration of multiple federated servers in order to assign initial accuracy value for the newly connected IoT devices. We compare our approach against the VanillaFL selection process as well as other state-of-the-art approach and showcase the superiority of our proposal

First Data On Amphibia Inventory And Distribution (Ordre Des Anoura) In Northwestern Algeria (Tiaret Area)

In the northwest of Algeria, we find the Tiaret area, which is characterized by a remarkable diversity of ecosystems, mainly composed of forests, scrub, cereal plain, steppe, a dune corridor, wetlands, Chott, Daya, dams, reservoirs of hill waters, ponds, wadis and cliffs. This diversity provides favorable and essential conditions for various species of amphibians that frequent this area with a semiarid climate. The present work aims to carry out an inventory of amphibians in the Tiaret region, as well as their distributions in these various ecosystems. We were able to inventory around 05 species of amphibians, distributed among 04 families and 01 order, distributed, in the different remarkable areas of the study region. Most of the species are frequent and abundant, cited in the bibliography (Pelophylax saharicus, Bufotes boulengeri, Sclerophrys mauritanica and Discoglossus pictus); except for one species (Hyla meridionalis), which is very rare in our study area

Serological and molecular survey of Leishmania parasites in apparently healthy dogs in the West Bank, Palestine

Background: Canine visceral leishmaniasis (CVL) is caused by Leishmania infantum in all Mediterranean countries. The Leishmania parasite is transmitted by the bite of a corresponding sand fly vector and primarily maintained in nature by wild and domestic reservoirs, including dogs, foxes and jackals. Infected dogs are the primary reservoir host in endemic regions and are the most significant risk disposing humans to infection. The present study aimed at assessing the prevalence of infection with Leishmania and identification of Leishmania infantum in domestic dogs in the West Bank, Palestine. Methods: The infection rate among domestic dogs collected from seven districts in the Palestinian West Bank was investigated by examination of parasites in culture from the buffy coat using serological and molecular methods; based on ELISA, internal transcribed spacer 1 (ITS1) and cysteine protease (CPB) PCR. Results: Out of 215 dogs examined for Leishmania, 36 (16.7%) were positive in at least one method. Twenty three animals (11.5%) were positive for Leishmania DNA, whereas, ELISA and culture revealed 16 (7.5%), and 4 (1.5%) respectively. CPB-PCR on one of three culture-positive isolates revealed Leishmania infantum as the causative agent for Leishmania infection in dogs. Conclusions: Our study showed that canine leishmania infection is prevalent with varying degrees in all the seven studied districts in Palestine despite the absence of human VL cases in 4 of these districts. The causative agent was confirmed to be Leishmania infantum.The authors would like to thank the Palestinian Ministry of Health (PMOH) for providing support in samples collection. Financial support is provided by the MIDDLE EAST REGIONAL COOPERATION PROGRAM (MERC) project M27- 072, on surveillance and control of visceral leishmaniasis in the Middle East & North Africa

Nigrostriatal overabundance of α-synuclein leads to decreased vesicle density and deficits in dopamine release that correlate with reduced motor activity

α-Synuclein (α-syn) is a presynaptic protein present at most nerve terminals, but its function remains largely unknown. The familial forms of Parkinson's disease associated with multiplications of the α-syn gene locus indicate that overabundance of this protein might have a detrimental effect on dopaminergic transmission. To investigate this hypothesis, we use adeno-associated viral (AAV) vectors to overexpress human α-syn in the rat substantia nigra. Moderate overexpression of either wild-type (WT) or A30P α-syn differs in the motor phenotypes induced, with only the WT form generating hemiparkinsonian impairments. Wild-type α-syn causes a reduction of dopamine release in the striatum that exceeds the loss of dopaminergic neurons, axonal fibers, and the reduction in total dopamine. At the ultrastructural level, the reduced dopamine release corresponds to a decreased density of dopaminergic vesicles and synaptic contacts in striatal terminals. Interestingly, the membrane-binding-deficient A30P mutant does neither notably reduce dopamine release nor it cause ultrastructural changes in dopaminergic axons, showing that α-syn's membrane-binding properties are critically involved in the presynaptic defects. To further determine if the affinity of the protein for membranes determines the extent of motor defects, we compare three forms of α-syn in conditions leading to pronounced degeneration. While membrane-binding α-syns (wild-type and A53T) induce severe motor impairments, an N-terminal deleted form with attenuated affinity for membranes is inefficient in inducing motor defects. Overall, these results demonstrate that α-syn overabundance is detrimental to dopamine neurotransmission at early stages of the degeneration of nigrostriatal dopaminergic axon