False Measurements Research Articles

Security design against stealthy attacks on power system state estimation: A formal approach

State estimation is very important for securely, reliably, and efficiently maintaining a power grid. If state estimation is not protected, an attacker can compromise meters or communication systems and introduce false measurements, which can evade existing Bad Data Detection (BDD) algorithms and lead to incorrect state estimation. This kind of attack is stealthy and widely known as an Undetected False Data Injection (UFDI) attack. Attackers are limited by different attributes, in terms of knowledge, capabilities, resources, and attack targets, that are important to consider for realizing the potential attack vectors and, thereby, the security measures. In this paper, we present a formal framework for automatic synthesis of security architectures that will guard the grid against potential UFDI attacks on state estimation. In this approach, we first formalize UFDI attacks with respect to the grid topology, electrical properties, and different attack attributes. The solution to the model derives the attack vectors that exist in the formalized scenario. These attack vectors are considered by a second formal model, the security architecture synthesis model, to design the security measures (i.e., a set of measurements to be protected against false data injection). We enhance the performance of the security architecture synthesis mechanism by performing parallel and stepped execution of the formal models. We demonstrate the proposed mechanism through case studies and evaluate the performance of the proposed model by running experiments on different IEEE test systems.

Initial Alignment of SINS Measuring Unit and Estimation of Its Errors Using Satellite Phase Measurements

The paper addresses the problem of initial alignment and periodical estimation of gyro drifts and accelerometer errors in a strapdown inertial navigation system (SINS) on fiber-optic gyros (FOG) of navigation grade onboard a marine vehicle, using satellite phase measurements from multi-antenna equipment. The problem is solved through constructing a tightly-coupled INS/GNSS system which comprises an inertial measuring unit (IMU) of SINS, and a multi-antenna satellite module. The satellite module has two antenna baselines and employs receivers with a common reference oscillator. Based on the SINS data, the ambiguity of phase measurements is excluded, and false measurements are sorted out. The results of joint processing of the bench test data for the navigation grade FOG-based IMU (designed by Concern CSRI Elektropribor, JSC) and a virtual simulated satellite module are presented. The data processing was carried out using the algorithms of integrated system construction in MATLAB (Simulink) package.

False measurement of glycated hemoglobin in patients without hemoglobin A.

Background: Hemoglobin (Hb) A1c, a biochemical marker widely used in monitoring diabetes mellitus, can be quantitatively measured by various examining systems. However, significant errors still exist. In the present study, we evaluated the HbA1c level in five patients with compound heterozygotes by five different examining systems and our goal is to identify the existence of erroneous HbA1c measurement.Methods: Blood samples collected from normal (no hemoglobin variants) and abnormal (compound heterozygotes) patients were analyzed by capillary electrophoresis technique and sequence analysis. The samples without HbA expression via above methods were further analyzed for HbA1c by ion exchange HPLC Variant II/ Variant II Turbo 2.0 (VII and VII-T 2.0), boronate affinity HPLC, capillary electrophoresis, and Tinaquant immunoassay.Results: HbA1c expression were unexpectedly detected in the compound heterozygous samples by using additional examining systems: The HPLC VII and VII-T 2.0 detected HbA1c expression in two of five samples and failed to detect the abnormal HbA2 expression; the CE system detected HbA1c expression in one of five samples with abnormal HbA2 expression; the Ultra2 and PPI system detected the HbA1c expression of all samples without abnormal HbA2.Conclusions: Five human samples without HbA expression were additionally detected with HbA1c expression with or without abnormal HbA2 expression by five analysis systems and the different examining assay potentially affected the test results. These results demonstrated that the limitations of current examining systems for monitoring patients with hemoglobin disorders highlighting the further improvement in the method of clinical HbA examination.

Evaluation of blood pressure profile in chronic hemodialysis patients using two measurement methods: Home blood pressure measurement and conventional measurement

The monitoring of hypertension (HTN) in dialysis is often delicate with potentially false measurements due to the white coat effect on the one hand and masked HTN (M-HTN) on the other hand. In this population, there is much controversy over the ideal moment for taking blood pressure (BP) and the target values. An answer to these questions is given by home BP measurement that can detect white coat HTN (WC-HTN) and M-HTN. The aim of this study was to determine the respective prevalence of permanent HTN (P-HTN), WC-HTN, M-HTN, and permanently normotensive (P-NTN) in this population and to analyze the risk factors of M-HTN and WC-HTN in hemodialysis (HD) centers in sub-Saharan Africa. This was a multicenter, descriptive, and analytical cross-sectional study conducted over a period of one month and 23 days. Data collection was performed using a home BP measurement form, conventional BP measurement form, and clinical and laboratory data collection form. The study included all patients who could take their BP at home using an electronic BP machine and record results on the BP forms. All analyses were performed using the Sphinx plus software version 5. The significance level for all statistical tests was set at 5%. The mean age of patients was 45.57 years ± 14.11, with a sex ratio of 1.42. The mean duration in dialysis was 57.96 months ± 34.86. Adherence to the home BP measurement was 100% in 71.7%. P-NTN patients were 15.2% (7 patients), WC-HTN patients were 13% (6 patients), M-HTN patients were 17.5% (8 patients), and P-HTN patients were 54.3% (25 patients). A statistically significant association was observed between WC-HTN and age (P = 0.01). In this work, we noted an important proportion of M-HTN and WC-HTN. This result confirms the need for home BP measurement in the follow-up of BP in HD patients.

Continuous glucose monitoring as a screening tool for neonatal hypoglycemia in infants of diabetic mothers

Objective: To assess the plausibility of using the continuous glucose monitoring as a sole source of data for the screening of the neonatal hypoglycemia.Study design: Infants of mothers with diabetes were screened for neonatal hypoglycemia (less than 2.5 mmol/l after 4 h of life). Initial measurement was performed using point of care analyzer. We applied continuous glucose monitoring system subsequently. Infants were monitored up to 5 days or until discharge.Results: Out of 32 infants 11 had postnatal hypoglycemia resolved within 12 h of life. Two infants had hypoglycemia found due to continuous glucose monitoring after 24 h of life when sufficient feeding was established and they did not show any signs of hypoglycemia. We did not have any false negative measurements. No infant showed clinical signs of neonatal hypoglycemia.Conclusions: Continuous glucose monitoring is plausible and safe to use for screening of neonatal hypoglycemia. It operates well within the range that is accepted as safe for neurodevelopment. In addition, it can be used after first day of life where regular screening ends. Limitation of this method is possible alarm negligence of caregivers.

2-D Direction-of-Arrival Estimation System Using Circular Array With Mutually Coupled Reference Signal

Direction-of-arrival (DOA) systems rely on proper phase measurements acquired from receiving antennas for optimal performance. Unfortunately, imperfections in any antenna and receiver system may present false phase measurements, the major cause of DOA estimation error. This paper discusses experimental results from an actual implementation of synchronizing a DOA circular array receiver system to mitigate these imperfections. A reference signal located at the center of the DOA array was coupled to array elements such that both the coupled reference signals and signals from a target were captured simultaneously in the receiver. This coupled reference signal was used to compensate for any phase error offsets produced by receiver system imperfections on cable length, phase of local oscillators, and phase delays in active devices. Furthermore, this approach did not necessitate an off-line calibration process of each receiver channel requiring accurate measurements. We implemented a 16-element circular array DOA estimation system using the Universal Software Radio Peripheral platform operating in the $S$ - and $C$ -bands. Results show that this implementation was able to combat receiver phase offset errors and estimated the DOA angles with an rms error of 0.92°.

Evaluation of Clinical Usefulness of Monocyte Gating Using CD14 and CD64 for Detecting PNH Clone By Flow Cytometry

IntroductionFlow cytometry is the gold standard in diagnosis of paroxysmal nocturnal hemoglobinuria (PNH) by detecting the absence of glycol-phosphatidyl inositol (GPI)-linked protein expression on red blood cell, granulocyte, and monocyte. The current assays are 4-color analyses of GPI-linked markers such as fluorescein-labeled proaerolysin (FLAER), CD24, CD14, CD59, and CD235a and the lineage markers for granulocyte (CD15) and monocyte (CD64) cells to detect PNH clones. We investigated the utility of CD14/CD64 monocyte gating by comparing with CD45/light scatter (LS) gating in PNH study of the patients with cytopenia and analyzed the types and cell lineages of PNH clone according to the disease groups.MethodTotal 138 cases were recruited in this study from July 2017 to February 2018 at Gachon University Gil Medical Center in Korea. Flow cytometric analysis was performed with EDTA blood by Beckman Coulter Cytomics FC500 cytometer using gating antibodies such as CD45, CD14, CD15, CD64, CD235a and GPI-linked antibodies such as CD59, CD14, CD24, FLAER. The proportion of monocyte was estimated by CD14/CD64 gating and compared with those using CD45/LS gating. The type of PNH clone was defined according to the size of PNH population. A PNH clone is defined as a PNH population exceeding 1% of the gated cells, a minor PNH clone as between 0.1 and 1%, and rare cells with GPI-deficiency defined as a PNH population less than 0.1%. The types and cell lineages of the PNH clone were analyzed according to the disease groups. Statistical analysis was done using SPSS 17.0 and MedCalc 15.2, and P<0.05 was considered statistically significant.ResultsOf the 138 cases, PNH clone was detected with 27 cases including 15 cases with a PNH clone and 12 cases with a minor PNH clone. PNH clone was observed in all 8 cases (100%) of PNH cases. Two PNH clone and 4 minor PNH clones were identified in 6 of 16 cases (38%) of acute myeloid leukemia. In 6 of 21 cases (29%) of aplastic anemia (AA) show 5 PNH clones and 1 minor PNH clone. In 5 of 78 cases (6%) of cytopenia(s) only minor PNH clone was observed. The CD45 plus LS gating in monocyte represents a sensitivity of 100%, a specificity of 40.2%, and 60% (73/89) false positive rate in detecting of PNH clone. McNemar test indicates a significant difference between CD14/CD64 and CD45/LS gating methods (P = 0.00). The Bland-Altman plot of monocyte proportion between the two gating methods revealed that CD45/LS gating method was tended to underestimate monocyte proportion and the larger the number of monocytes, the greater the difference in number of monocyte between the two gating methods. The trend of the size of PNH clone in each cell lineage was confirmed by follow-up in three patients with PNH clone. Two patients showed more abrupt changes of PNH clone in monocytes than in red blood cells or in granulocytes. However, in the other patient, a significant trend found in only PNH clone of RBC.ConclusionThe types of PNH clone observed in each disease group showed different characteristics. PNH clone was identified in 5 of 6 PNH population detected AA cases, whereas minor PNH clones were observed in all 5 PNH population detected cytopenia cases. Four minor PNH clones and two PNH clones were discovered in 6 PNH population detected AML cases. However, all observed PNH clones observed in AML cases were monocyte. Monocyte gating with CD45 and LS not only underestimated the proportion of monocyte in total WBCs but also showed a high false positive rate of 60% in detecting PNH clone. In contrast, the CD14/CD64 gating method can accurately measure the monocyte population and avoid making a false positive measurement of PNH clone. In addition, in monitoring PNH patients, the measurement of the PNH clone in monocyte tends to be more sensitive to change of PNH clone size than those measured in RBC or granulocytes. In conclusion, the gating using CD14 and CD64 is significantly valuable in flow cytometric diagnosis for detecting the PNH clone in diagnosing new patents as well as monitoring of PNH patients. DisclosuresNo relevant conflicts of interest to declare.

Location ambiguity resolution and tracking method of human targets in wireless infrared sensor network

Human tracking has attracted extensive attention by using low-cost pyroelectric infrared sensor network in recent years. This paper presents a location ambiguity resolution and tracking method for human targets in wireless, distributed and binary infrared sensor network. The tracking system can detect the human targets in the detection space, and activate the sensor detection lines dynamically. A bearing-crossing location method is designed. The intersections of all activated detection lines are called primary measurement points for human location, and some of them are false measurement points. The ambiguity of this bearing-crossing location method is discussed and a two-level bearing-crossing algorithm is proposed based on quartic K-means clustering and joint cost function. For the first level, an anti-logic algorithm is designed to get the initial effective measurement points, then these points are assigned to different targets using K-means clustering. For the second level, the final effective points are obtained by using a special joint cost function, and they are assigned to different targets using K-means clustering once again to get the final locating results. The cost value is used as a weight to adjust the covariance parameter in Kalman filter for target tracking as well. The experimental results show that the average tracking error of human targets is less than 0.8 m in a 10 m × 10 m space, which verify the proposed location ambiguity resolution and tracking method.

Sinkhole Attacks in Wireless Sensor Networks: A Survey

Wireless sensor networks (WSNs) consist of a large number of nodes, communicating sensor readings to the base stations through other nodes. Due to their energy limitations and positioning in hostile environments, WSNs are vulnerable to various routing attacks. From a security point of view in WSN, data authenticity, confidentiality, Integrity, and availability are the important security goals. It is in common practice that a security protocol used to be created by focusing a particular attack in WSN. Most renowned attacks in WSN are Sybil attack, Denial of Service attack, wormhole attack, selective attack, HELLO Flooding attack, Sinkhole attack etc. This survey focuses on one of the most challenging routing attacks, called Sinkhole attack. A Sinkhole attack is one of the sternest routing attacks because it attracts surrounding nodes with misleading routing path information and performs data forging or selective forwarding of data passing through it. It can cause an energy drain on surrounding nodes resulting in energy holes in WSNs and it can cause inappropriate and potentially dangerous responses based on false measurements. Researchers had presented several ways to detect and identify sinkhole attacks. This survey reviews related work on Sinkhole attack detection, prevention strategies, and attack techniques and also highlights open challenges in dealing with such attacks. Among many discussed techniques, fuzzy logic-based systems are considered to be good in performance in intruder detection system (IDS).

Rancang Bangun Alat Ukur Tinggi dan Berat Badan Ideal Berdasarkan Metode Brocha Berbasis Mikrokontroler

Body’s height and mass measurement usually are measured with a different instrument without a knowledge to know the ideal body mass index (BMI). Ideal BMI is related to our health condition especially for people who do exercise. Usually people just guess the BMI from a visual condition that sometime give a false measurement. This paper proposes a device that can measured ideal BMI based on Brocha method based on microcontroller. The body’s height will be measured using ultrasonic sensor while the body’s mass will be measured with a load cell. The results show that the proposed device can predict the BMI well. The height measurement has a successful rate of 80%.

Naptics

Normal circadian rhythm mediates blood pressure during sleep, decreasing in value in healthy subjects. Current methods to monitor nocturnal blood pressure use an active blood pressure cuff that repeatedly auto-inflates while the subject sleeps. Since these inflations happen in intervals of thirty minutes to one hour, they cause considerable sleep disturbances that lead to false measurements and impact the person's quality of sleep. These blood pressure samples are also just spot checks and rarely exceed 10-15 values per night. We present Naptics, a wearable device woven into shorts. Naptics passively monitors the wearer's blood pressure throughout the night---continuously and unobtrusively---without disturbing the user during sleep. Naptics detects the micro-vibrations of the wearer's body that stem from the heartbeat and senses the optical reflections from the pulse wave as it propagates down the wearer's leg. From the timing between these two events, Naptics computes the pulse transit time, which correlates strongly with the user's blood pressure. Naptics' key novelty is its unobtrusive approach in tracking blood pressure during the night. Our controlled evaluation of six subjects showed a high correlation (r = 0.89) between Naptics' calibrated mean arterial pressure and cuff-based blood pressure. Our in-the-wild evaluation validates Naptics in tracking five participants' blood pressure patterns throughout four nights and compares them to before and after cuff measurements. In a majority of the nights, Naptics correctly followed the trend of the cuff measurements while providing insights into the behavior and the patterns of participants' nocturnal blood pressure. Participants reported high sleep quality in sleep diaries after each night, validating Naptics as a convenient monitoring apparatus.

Subtle errors of bladder wall thickness measurement have a significant impact on the calculation of ultrasound-estimated bladder weight. A pilot study.

Ultrasound-estimated bladder weight (UEBW), is an emerging diagnostic tool, which has been used in both malesand females with lower urinary tract dysfunction. The currently acknowledged UEBW calculation methods rely on the accuratemeasurement of bladder wall thickness (BWT). We aim to identify if subtle errors in BWT measurement have a significantimpact on UEBW calculations. Twenty patients were randomly selected from an overactive bladderpatient cohort. The primary endpoint was to identify the range of false BWT measurements outside which significant changesin UEBW calculation occur. We used the Kojima method and a semi-automatic 3-D model that is based on Chalana's principle. Measurements were performed using the correct BWT and a series of faulty calculations from +0.5 mm to -0.5 mm using stepsof 0.05 mm from true BWT. The effect of a fixed 0.5 mm BWT error was checked in bladder volumes above and below 250 mland in three UEBW groups (<35 gr; 36-50 gr; >51gr). BWT measurement errors above 0.25 mm cause statistically significant changes in UEWB calculation when a 3-D model is used and errors above 0.15 mm when Kojima's method is used.At a fixed BWT error of 0.5 mm and bladder volume <250 ml, there is a 23.76% deviation from true UEBW, while at volumes>250 ml the deviation is 32.72%. The deviation is inversely proportional to the UEBW result, and heavier bladders deviateless. UEBW is a promising diagnostic tool, but small errors in BWT measurement might cause significant deviationfrom the true values. A 3-D calculation model appears to minimize such risks.

A wearable remote monitoring system for the identification of subjects with a prolonged QT interval or at risk for drug-induced long QT syndrome

BackgroundA correct measurement of the QT interval in the out-of-hospital setting is important whenever the long QT syndrome (LQTS) is suspected or a therapy might lead to drug-induced LQTS (diLQTS) because QT interval monitoring in the initial days of therapy could alert to dangerous QT prolongation. We explored whether automated QTc measurements (BGM) by BodyGuardian™ (BG), a wearable remote monitoring system, are sufficiently reliable compared to our own manual measurements (MM) performed on the same beats during 12‑lead Holter recordings in LQTS patients (pts) and in healthy controls. MethodsWe performed 351 measurements in 20 LQTS pts and 16 controls. MM and BGM were compared by a Bland-Altman plot (BAp). High values of BAp indicate large differences between measurements. ResultsIn all 36 subjects QTc was 446 ± 41 and 445 ± 47 ms in MM and BGM, respectively. The mean ± SE BAp was −1.4 ± 1.8 ms for QTc in all subjects, 8.3 ± 2.3 and −7.2 ± 2.5 ms respectively in controls and LQTS. The disagreement between BGM and MM <15 ms in all, in controls, and in LQTS was respectively 57%, 63% and 54%. Among controls, there were only 3/132 false positive measurements (BGM QTc >470 ms when MM QTc <440 ms) in 3 different subjects. Among LQTS, there were 10/219 false negative measurements (BGM QTc <440 ms when MM QTc >470 ms) in 6 pts, but only two had multiple false negative values. ConclusionsThis wearable monitoring system reliably identifies a prolonged QT interval and probably also subjects at risk for diLQTS.

Creating smooth SI. B-spline basis function representations of insulin sensitivity

Abstract In the intensive care unit (ICU), stress-induced insulin resistance leading to hyperglycemia is commonplace. If safe and effective glycemic control (GC) can be provided, a significant reduction in the negative effects of dysglycemia can be achieved. The Intensive Control Insulin-Nutrition-Glucose (ICING) model has worked particularly well in guiding patient-specific GC. The current method to identify patient- and time- specific insulin sensitivity (SI) with this model employs a discrete stepwise hourly function, which is effective, but not physiologically representative at hourly transitions. 2nd Order B-spline basis functions (BF) are investigated as a more continuous and physiologically relevant alternative for two different cohorts of patient data (Benchmark, 20 patients; Stochastic TARgeted (STAR) sub-cohort, 72 patients). Various knot-widths (KW) of 2nd Order B-spline BFs were investigated and compared to the currently used step function BF in terms of physiological relevance, identifiability, robustness to false measurements, and susceptibility to noise to ensure the most physiologically realistic representation of SI. The 180 min KW 2nd Order B-spline BFs provided the most physiologically realistic fit to the blood glucose (BG) measurements in both cohorts (Standard Deviation of relative fitting error: Benchmark 8.7% vs. 9.35% BG meter, STAR sub-cohort 6.0% vs. 6.0% BG meter), while also having significantly less susceptibility to false BG measurements compared to the current BF. The 180 min 2nd Order B-spline BF provides a smooth second order continuous, more physiologically representative, and identifiable model of the dynamics of SI, and a more realistic resulting BG solution. The outcome provides a promising new addition to the ICING model and STAR GC protocol, while also opening up several new potential continuous time analyses of SI dynamics, not previously possible.

Visual multiple‐object tracking for unknown clutter rate

In multi‐object tracking applications, model parameter tuning is a prerequisite for reliable performance. In particular, it is difficult to know statistics of false measurements due to various sensing conditions and changes in the field of views. In this study, the authors are interested in designing a multi‐object tracking algorithm that handles unknown false measurement rate. The recently proposed robust multi‐Bernoulli filter is employed for clutter estimation while generalised labelled multi‐Bernoulli filter is considered for target tracking. Performance evaluation with real videos demonstrates the effectiveness of the tracking algorithm for real‐world scenarios.

Technical note: False low turbidity readings from optical probes during high suspended-sediment concentrations

Abstract. Turbidity, a measure of water clarity, is monitored for a variety of purposes including (1) to help determine whether water is safe to drink, (2) to establish background conditions of lakes and rivers and detect pollution caused by construction projects and stormwater discharge, (3) to study sediment transport in rivers and erosion in catchments, (4) to manage siltation of water reservoirs, and (5) to establish connections with aquatic biological properties, such as primary production and predator–prey interactions. Turbidity is typically measured with an optical probe that detects light scattered from particles in the water. Probes have defined upper limits of the range of turbidity that they can measure. The general assumption is that when turbidity exceeds this upper limit, the values of turbidity will be constant, i.e., the probe is “pegged”; however, this assumption is not necessarily valid. In rivers with limited variation in the physical properties of the suspended sediment, at lower suspended-sediment concentrations, an increase in suspended-sediment concentration will cause a linear increase in turbidity. When the suspended-sediment concentration in these rivers is high, turbidity levels can exceed the upper measurement limit of an optical probe and record a constant “pegged” value. However, at extremely high suspended-sediment concentrations, optical turbidity probes do not necessarily stay “pegged” at a constant value. Data from the Colorado River in Grand Canyon, Arizona, USA, and a laboratory experiment both demonstrate that when turbidity exceeds instrument-pegged conditions, increasing suspended-sediment concentration (and thus increasing turbidity) may cause optical probes to record decreasing “false” turbidity values that appear to be within the valid measurement range of the probe. Therefore, under high-turbidity conditions, other surrogate measurements of turbidity (e.g., acoustic-attenuation measurements or suspended-sediment samples) are necessary to correct these low false turbidity measurements and accurately measure turbidity.

Distributed Kalman filtering for robust state estimation over wireless sensor networks under malicious cyber attacks

We consider distributed Kalman filtering for dynamic state estimation over wireless sensor networks. It is promising but challenging when network is under cyber attacks. The compromised nodes are likely to influence system security by broadcasting malicious false measurements or estimates to their neighbors, and result in performance deterioration. To increase network resilience to cyber attacks, in this paper, trust-based dynamic combination strategy is developed. The proposed distributed Kalman filtering scheme is resilient to random, false data injection and replay attacks. Furthermore, it is efficient in terms of communication load, only instantaneous estimates are exchanged between the neighboring nodes and compromised nodes localization is a byproduct.

Efficient trust management with Bayesian-Evidence theorem to secure public key infrastructure-based mobile ad hoc networks

In mobile ad hoc networks (MANETs), the reliability of nodes, quality of data and access control cannot be achieved successfully for various network functionalities through traditional cryptographic security, which makes MANET vulnerable to illegitimate node behaviour changes. These node misbehaviours, referred as soft security threats, need to be detected and prevented in order to protect against the accumulation of false measurements with selfish and malicious intentions. Trust has been employed as a powerful tool to handle the soft security threats and to provide security among uncertain and dynamic nodes effectively in MANET. Therefore, it is of great importance that efficient trust management mechanisms should be developed in a public key infrastructure (PKI), in order to verify the identities on the ad hoc networks for reliable and secure group communication. However, the independent nature of nodes and the computational complexities make the trust management a challenging one in MANET. In this paper, we present an efficient distributed trust computation and misbehaviour verification method with Bayesian and Evidence theorem, on hexagonally clustered MANET. Besides, a secured PKI system is designed in the paper by applying the proposed trust management scheme in terms of certificate revocation, which is an important functionality of PKI cryptosystem. The uncertainty impacts the node’s anticipation of neighbour’s behaviour and decisions during communication; we include uncertainty in the trust management system. An efficient method to reduce the uncertainty is to exploit the mobility characteristics of MANET that accelerates the trust convergence. The simulation results reveal a better performance against adversaries in creating considerable untrustworthy transactions with a mobility-aware cluster guarantee. Moreover, the proposed trust application shows its betterment in the revocation process in terms of revocation rate and time. Thus, the proposed scheme provides an effective security solution that incorporates the optimistic features of trust mechanisms and hierarchical Voronoi clustering.

State Measurement Spoofing Prevention through Model Predictive Control Design

Security of chemical process control systems against cyberattacks is critical due to the potential for injuries and loss of life when chemical process systems fail. A potential means by which process control systems may be attacked is through the manipulation of the measurements received by the controller. One approach for addressing this is to design controllers that make manipulating the measurements received by the controller in any meaningful fashion very difficult, making the controllers a less attractive target for a cyberattack of this type. In this work, we develop a model predictive control (MPC) implementation strategy that incorporates Lyapunov-based stability constraints and can allow several potential control laws to be available to apply to the process, one of which can be randomly selected at each sampling time, potentially making the response of the controller to a false state measurement more difficult to predict a priori. We investigate closed-loop stability and recursive feasibility of the resulting control design, and utilize a benchmark chemical process example to demonstrate the difference in the control actions computed by such a randomized MPC implementation strategy compared with those for the same process by the same MPC design utilized at every sampling time.

The techniques of quality operations computational and experimental researches of the launch vehicles in the drawing-board stage

The aim of the researchis the quality operations of the design process at the stage of research works on the development of active on-Board system of the launch vehicles spent stages descent with liquid propellant rocket engines by simulating the gasification process of undeveloped residues of fuel in the tanks. The design techniques of the gasification process of liquid rocket propellant components residues in the tank to the expense of finding and fixing errors in the algorithm calculation to increase the accuracy of calculation results is proposed. Experimental modelling of the model liquid evaporation in a limited reservoir of the experimental stand, allowing due to the false measurements rejection based on given criteria and detected faults to enhance the results reliability of the experimental studies; to reduce the experiments cost.