scholarly journals MobChain: Three-Way Collusion Resistance in Witness-Oriented Location Proof Systems Using Distributed Consensus

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5096
Author(s):  
Faheem Zafar ◽  
Abid Khan ◽  
Saif Ur Rehman Malik ◽  
Mansoor Ahmed ◽  
Carsten Maple ◽  
...  
Keyword(s):  
Location Based Services ◽  
Smart Devices ◽  
Smart Device ◽  
Distributed Consensus ◽  
Consensus Protocol ◽  
Collusion Attacks ◽  
Proof Systems ◽  
Decentralized Decision Making ◽  
Selection Of ◽  
Location Proof

Smart devices have accentuated the importance of geolocation information. Geolocation identification using smart devices has paved the path for incentive-based location-based services (LBS). However, a user’s full control over a smart device can allow tampering of the location proof. Witness-oriented location proof systems (LPS) have emerged to resist the generation of false proofs and mitigate collusion attacks. However, witness-oriented LPS are still susceptible to three-way collusion attacks (involving the user, location authority, and the witness). To overcome the threat of three-way collusion in existing schemes, we introduce a decentralized consensus protocol called MobChain in this paper. In this scheme the selection of a witness and location authority is achieved through a distributed consensus of nodes in an underlying P2P network that establishes a private blockchain. The persistent provenance data over the blockchain provides strong security guarantees; as a result, the forging and manipulation of location becomes impractical. MobChain provides secure location provenance architecture, relying on decentralized decision making for the selection of participants of the protocol thereby addressing the three-way collusion problem. Our prototype implementation and comparison with the state-of-the-art solutions show that MobChain is computationally efficient and highly available while improving the security of LPS.

scholarly journals Location Proof Systems for Smart Internet of Things: Requirements, Taxonomy, and Comparative Analysis

Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1776
Author(s):  
Faheem Zafar ◽  
Abid Khan ◽  
Adeel Anjum ◽  
Carsten Maple ◽  
Munam Ali Shah
Keyword(s):  
Comparative Analysis ◽  
Internet Of Things ◽  
Asset Management ◽  
Location Based Services ◽  
Smart Devices ◽  
Proof Systems ◽  
Health Care Supply ◽  
The Common ◽  
Health Care Supply Chain ◽  
Location Proof

In the current hyper-connected, data-driven era, smart devices are providing access to geolocation information, enabling a paradigm shift in diverse domains. Location proof systems utilize smart devices to provide witnessed proof of location to enable secure location-based services (LBS). Applications of location proof systems include safety, asset management and operations monitoring in health care, supply chain tracking, and Internet-of-Things (IoT)-based location intelligence in businesses. In this paper, we investigate the state of the art in location proof systems, examining design challenges and implementation considerations for application in the real world. To frame the analysis, we have developed a taxonomy of location proof systems and performed a comparative analysis over the common attributes, highlighting their strength and weaknesses. Furthermore, we have identified future trends for this increasingly important area of investigation and development.

scholarly journals Offloading Method for Efficient Use of Local Computational Resources in Mobile Location-Based Services Using Clouds

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Yunsik Son ◽  
Yangsun Lee
Keyword(s):  
Mobile Computing ◽  
Mobile Devices ◽  
Communication Networks ◽  
Fog Computing ◽  
Computing System ◽  
Location Based Services ◽  
Computation Offloading ◽  
Smart Devices ◽  
Smart Device ◽  
Location Information

With the development of mobile computing, location-based services (LBSs) have been developed to provide services based on location information through communication networks or the global positioning system. In recent years, LBSs have evolved into smart LBSs, which provide many services using only location information. These include basic services such as traffic, logistic, and entertainment services. However, a smart LBS may require relatively complicated operations, which may not be effectively performed by the mobile computing system. To overcome this problem, a computation offloading technique can be used to perform certain tasks on mobile devices in cloud and fog environments. Furthermore, mobile platforms exist that provide smart LBSs. The smart cross-platform is a solution based on a virtual machine (VM) that enables compatibility of content in various mobile and smart device environments. However, owing to the nature of the VM-based execution method, the execution performance is degraded compared to that of the native execution method. In this paper, we introduce a computation offloading technique that utilizes fog computing to improve the performance of VMs running on mobile devices. We applied the proposed method to smart devices with a smart VM (SVM) and HTML5 SVM to compare their performances.

Design and Development of Lightweight Operating System Framework for Smart Devices

2021 ◽  
Vol 9 (2) ◽  
pp. 136-149
Author(s):  
Jasleen Kaur ◽  
S. R. N. Reddy
Keyword(s):  
Operating System ◽  
User Interface ◽  
Graphical User Interface ◽  
Resource Constraints ◽  
Smart Devices ◽  
Smart Device ◽  
System Framework ◽  
Design And Development ◽  
Application Specific ◽  
Selection Of

Immeasurable extension of technology for smart devices is perceived in the present scenario, and has resulted in advancements in the growth of such smart devices in diverse domains. An application specific, customized, and lightweight operating system (OS) eventually builds the complete smart device. The user may face difficulties in developing application specific customized OS because of lack of knowledge or resource constraints. The aim of this paper is to assist the users through a generic smart framework that significantly reduces the constraints in the design and development of smart devices and help the users to automatically build an application specific lightweight customized OS. The targeted framework comprises an intelligent graphical user interface that directs the selection of processor and application specific key components. The performance analysis of the framework is done through an experimental test on two different application areas. The findings infer that the size and boot time of an OS build from the framework diminishes by more than 50%.

scholarly journals Evaluation of Multi-Sensor Fusion Methods for Ultrasonic Indoor Positioning

2021 ◽  
Vol 11 (15) ◽  
pp. 6805
Author(s):  
Khaoula Mannay ◽  
Jesús Ureña ◽  
Álvaro Hernández ◽  
José M. Villadangos ◽  
Mohsen Machhout ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Experimental Tests ◽  
Indoor Positioning ◽  
Location Based Services ◽  
Smart Devices ◽  
Final Position ◽  
Positioning Systems ◽  
Local Positioning System ◽  
Tightly Coupled ◽  
Position Estimate

Indoor positioning systems have become a feasible solution for the current development of multiple location-based services and applications. They often consist of deploying a certain set of beacons in the environment to create a coverage volume, wherein some receivers, such as robots, drones or smart devices, can move while estimating their own position. Their final accuracy and performance mainly depend on several factors: the workspace size and its nature, the technologies involved (Wi-Fi, ultrasound, light, RF), etc. This work evaluates a 3D ultrasonic local positioning system (3D-ULPS) based on three independent ULPSs installed at specific positions to cover almost all the workspace and position mobile ultrasonic receivers in the environment. Because the proposal deals with numerous ultrasonic emitters, it is possible to determine different time differences of arrival (TDOA) between them and the receiver. In that context, the selection of a suitable fusion method to merge all this information into a final position estimate is a key aspect of the proposal. A linear Kalman filter (LKF) and an adaptive Kalman filter (AKF) are proposed in that regard for a loosely coupled approach, where the positions obtained from each ULPS are merged together. On the other hand, as a tightly coupled method, an extended Kalman filter (EKF) is also applied to merge the raw measurements from all the ULPSs into a final position estimate. Simulations and experimental tests were carried out and validated both approaches, thus providing average errors in the centimetre range for the EKF version, in contrast to errors up to the meter range from the independent (not merged) ULPSs.

scholarly journals Latency-Optimal Computational Offloading Strategy for Sensitive Tasks in Smart Homes

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2347
Author(s):  
Yanyan Wang ◽  
Lin Wang ◽  
Ruijuan Zheng ◽  
Xuhui Zhao ◽  
Muhua Liu
Keyword(s):  
Queue Length ◽  
Optimization Problem ◽  
Time Slot ◽  
Smart Homes ◽  
Back Pressure ◽  
Smart Devices ◽  
Smart Device ◽  
Simulation Results ◽  
Computational Offloading ◽  
The Stability

In smart homes, the computational offloading technology of edge cloud computing (ECC) can effectively deal with the large amount of computation generated by smart devices. In this paper, we propose a computational offloading strategy for minimizing delay based on the back-pressure algorithm (BMDCO) to get the offloading decision and the number of tasks that can be offloaded. Specifically, we first construct a system with multiple local smart device task queues and multiple edge processor task queues. Then, we formulate an offloading strategy to minimize the queue length of tasks in each time slot by minimizing the Lyapunov drift optimization problem, so as to realize the stability of queues and improve the offloading performance. In addition, we give a theoretical analysis on the stability of the BMDCO algorithm by deducing the upper bound of all queues in this system. The simulation results show the stability of the proposed algorithm, and demonstrate that the BMDCO algorithm is superior to other alternatives. Compared with other algorithms, this algorithm can effectively reduce the computation delay.

scholarly journals The Use of Smart Devices by Care Providers in Emergency Departments: A Cross-Sectional Study (Preprint)

2019 ◽  
Author(s):  
Mohamad Alameddine ◽  
Hussein Soueidan ◽  
Maha Makki ◽  
Hani Tamim ◽  
Eveline Hitti
Keyword(s):  
Health Center ◽  
Healthcare Providers ◽  
Target Population ◽  
Academic Health Center ◽  
Care Quality ◽  
Smart Devices ◽  
Smart Device ◽  
Care Providers ◽  
Cross Sectional ◽  
Academic Health

BACKGROUND The use of smart devices (SD) by healthcare providers in care settings is a common practice nowadays. Such use is not restricted to applications related to the care of patients but often extends to personal calls and applications with frequent prompts and interruptions. This enhances the risk of distractions caused by SD in the hospital settings and raises concerns on service quality and patient safety. Such concerns are exacerbated in complex care settings like the Emergency Department (ED). OBJECTIVE This study measured the frequency and patterns of SD use among healthcare providers in the ED of a large academic health center in Lebanon. The perceived consequences of care providers on using SDs on the provider-provider communication and the care quality of patients in ED were further assessed. The study further examined the factors associated with the use of smart devices and measured the approval for regulating such use. METHODS The study was carried at the ED of an academic health center in Lebanon. The ED received the highest volume of patient visits in the country. Data was collected using a cross-sectional electronic survey sent to all ED healthcare providers (n=236). The target population included core ED faculty members, attending physicians, residents, medical students, and the nursing care providers. RESULTS Half of the target population responded to the questionnaire. A total of 85.6% of the respondents use one or more medical applications on their smart devices. The respondents believed that using the SD in the ED improved the coordination among the care team (81.6%) and that it was beneficial to patient care (78.9%). In addition, 41.1% of the respondents acknowledged they were distracted when using their SD for non-work purposes. Furthermore, 54.8% of the respondents acknowledged having witnessed their colleagues committed a near miss or an error due to the smart device-caused distractions. Regression analysis revealed that age and missing information due to using the SD are major predictors of committing an error at the ED (p<0.05). Interestingly, more than 40% of the respondents were significantly addicted to using SD and more than third of them felt the need to cut down on such use. CONCLUSIONS The findings of this study make it imperative to safeguard the safety and wellbeing of patients, particularly in high intensity, high volume department such as the ED. Irrespective of the positive role the SD play in the healthcare process, the negative effects of its use mandate proper regulation. This is an ethical mandate taking into consideration the important consequences such use may have on care processes and outcomes.

The Negative Effects of Using Smart Devices on the Physical and Psychological Health of Palestinian Children aged (13-16) years from their Perspective

2020 ◽  
Vol 8 (3) ◽  
pp. 01-19
Author(s):  
Nuha Iter
Keyword(s):  
Psychological Health ◽  
Smart Devices ◽  
Smart Device ◽  
Negative Effects ◽  
Physical And Psychological Health ◽  
Palestinian Children ◽  
Open Question ◽  
High Degree ◽  
The Relationship ◽  
Descriptive Method

The study aimed to explore the negative effects of using smart devices on the physical and psychological health of children aged (13-16) years from their perspective. The study was applied to a random sample of children aged (13-16), consisting of (102) male and female students. The descriptive method was used to answer the study questions, and a questionnaire was developed to collect data, which contains (3) sections, first section asked about the most used and preferred devices by children aged (13-16) years, and the number of hours the child used the smart device, the second one asked about the negative effects of using the smart devices on the physical and psychological health of children aged (13-16) years from their perspective, and the third section is an open question to know other negative effects of using the smart devices on the physical and psychological health of children aged (13-16) years. The study achieved a set of results, such as the smartphones are the most used and preferred devices by children aged (13-16) years, where (57%) of the study sample preferred to use, and there is  (86.3%) of children aged (13-16) use these devices at average from 4 up to 6 hours daily.  The responders highly agreed upon the negative effects of the use of smart devices on the physical health with average (4.2); which is a high degree, also the responders highly agreed upon the negative effects of  the use of smart devices on the physiological health with average  is  (3.73) which is also high,  added there are other effects caused by the use of smart devices for long hours on  children aged (13-16); the low rate of family discussions, and causes the low writing skills for child.   Depending on the results of the study, the researcher recommends that:  researchers should conduct a correlative study to know the relationship between the effects and the number of hours of daily use of devices; families should rationalize the use of smart devices.

Human-Robot Interaction Design Using Smart Device Based Robot Partner

2019 ◽  
pp. 119-140
Author(s):  
Jinseok Woo ◽  
Naoyuki Kubota
Keyword(s):  
Nonverbal Communication ◽  
Interaction Design ◽  
Human Robot Interaction ◽  
Smart Devices ◽  
Smart Device ◽  
Design Support ◽  
Motion Patterns ◽  
Software Modules ◽  
Content Design ◽  
Design Support Environment

Nowadays, various robot partners have been developed to realize human-friendly interactions. In general, a robot system is composed of hardware modules, software modules, and application contents. It takes much time to design utterance contents and motion patterns as application contents simultaneously, but the design support systems mainly focus on the generation of robot motion patterns. Furthermore, a methodology is needed to easily change the specification of hardware and software according to diversified needs, and the developmental environment to design the application contents on verbal and nonverbal communication with people. In this paper, the authors propose robot partners with the modularized architecture of hardware and software by using smart devices, and propose a developmental environment to realize easy contents design of verbal and nonverbal communication. In order to solve the problem of difficulty in the content design, they develop a design support environment using design templates of communication application contents. Next, they apply the robot partner to navigate visitors to the robot contest of the system design forum held in Tokyo Metropolitan University. Finally, they show several examples of the interaction cases, and discuss the interaction design for smart device based robot partners.

Next Generation Wearable Devices

2014 ◽  
Vol 6 (2) ◽  
pp. 25-51 ◽  
Author(s):  
Niraj Shakhakarmi
Keyword(s):  
Health Monitoring ◽  
Service Management ◽  
Wearable Sensors ◽  
Wearable Devices ◽  
Smart Devices ◽  
Smart Device ◽  
Monitoring Device ◽  
Next Generation ◽  
Spectrum Utilization ◽  
Smart Health

The next generation wearable devices are Smart health monitoring device and Smart sousveillance hat which are capable of using wearable sensors for measuring physiological information, sousveillanace, navigation, as well as smart device to smart device communications over cellular coverage. Smart health monitoring device collect and observe different health related information deploying biosensors and can predict health problems. Smart sousveillance hat provides the brainwaves based fatigue state, training and sousveillance around the wearer. The next generation wearable smart devices deploy the device to device communications in LTE assisted networks with D2D server, D2D Application server and D2D enhanced LTE signalling for D2D service management, spectrum utilization and broad cellular coverage, which make them portable, social, commercial and sustainable. Thus, the wearable device technology will merge with the smart communications besides the health and wellness. Furthermore, the simulation and performance evaluation shows that LTE-D2D wearable smart device communications provides two times more energy efficiency than LTE-UEs cellular communications. The LTE-D2D data rate is also found significantly higher with higher D2D-SINR for lower relative mobility (= 30m/s) and lower D2D distance (<400m) between devices.

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