scholarly journals Construction of Time-Stamped Mobility Map for Path Tracking via Smith-Waterman Measurement Matching

2014 ◽  
Vol 2014 ◽  
pp. 1-17 ◽  
Author(s):  
Mu Zhou ◽  
Zengshan Tian ◽  
Kunjie Xu ◽  
Haibo Wu ◽  
Qiaolin Pu ◽  
...  
Keyword(s):  
Signal Strength ◽  
Path Tracking ◽  
Location Based Services ◽  
Security And Privacy ◽  
Mobile Environments ◽  
Location Fingerprinting ◽  
Precision Level ◽  
Floor Plans ◽  
Cost Efficient ◽  
Low Dimensional

Path tracking in wireless and mobile environments is a fundamental technology for ubiquitous location-based services (LBSs). In particular, it is very challenging to develop highly accurate and cost-efficient tracking systems applied to the anonymous areas where the floor plans are not available for security and privacy reasons. This paper proposes a novel path tracking approach for large Wi-Fi areas based on the time-stamped unlabeled mobility map which is constructed from Smith-Waterman received signal strength (RSS) measurement matching. Instead of conventional location fingerprinting, we construct mobility map with the technique of dimension reduction from the raw measurement space into a low-dimensional embedded manifold. The feasibility of our proposed approach is verified by the real-world experiments in the HKUST campus Wi-Fi networks, sMobileNet. The experimental results prove that our approach is adaptive and capable of achieving an adequate precision level in path tracking.

Wi-Fi location fingerprinting using an intelligent checkpoint sequence

2017 ◽  
Vol 11 (3) ◽  
Author(s):  
Günther Retscher ◽  
Hannes Hofer
Keyword(s):  
Success Rate ◽  
Mobile Device ◽  
Processing Time ◽  
Signal Strength ◽  
Reference Points ◽  
Regular Grid ◽  
Correct Order ◽  
Location Fingerprinting ◽  
Novel Approach ◽  
Logical Sequence

AbstractFor Wi-Fi positioning location fingerprinting is very common but has the disadvantage that it is very labour consuming for the establishment of a database (DB) with received signal strength (RSS) scans measured on a large number of known reference points (RPs). To overcome this drawback a novel approach is developed which uses a logical sequence of intelligent checkpoints (iCPs) instead of RPs distributed in a regular grid. The iCPs are the selected RPs which have to be passed along the way for navigation from a start point A to the destination B. They are twofold intelligent because of the fact that they depend on their meaningful selection and because of their logical sequence in their correct order. Thus, always the following iCP is known due to a vector graph allocation in the DB and only a small limited number of iCPs needs to be tested when matching the current RSS scans. This reduces the required processing time significantly. It is proven that the iCP approach achieves a higher success rate than conventional approaches. In average correct matching results of 90.0% were achieved using a joint DB including RSS scans of all employed smartphones. An even higher success rate is achieved if the same mobile device is used in both the training and positioning phase.

scholarly journals A Novel and Integrated Architecture for Securing Communication in IoT

2019 ◽  
Vol 9 (2) ◽  
pp. 924-929
Keyword(s):  
Energy Savings ◽  
Response Times ◽  
Security And Privacy ◽  
Iot Security ◽  
Authentication Mechanism ◽  
Use Of Data ◽  
Data Points ◽  
Integrated Architecture ◽  
Cost Efficient ◽  
Lightweight Encryption

Although the IoT opens the door to endless possibilities, but it is also associated with many risks because all devices connected to the internet involve the use of data points. Therefore, it is essential to ensure IoT security and privacy. A review of existing research works highlights the usage of traditional security scheme based on cryptography for data transmission among IoT nodes and gateways. The proposed system proposes an integrated model that combines lightweight encryption technique with robust and cost-efficient authentication mechanism. The proposed system introduces digital signature-based authentication and complexity minimization in order to resist the involvement of any kind of unknown attacks. The simulation outcome of this model exhibits reliable security, faster response times and energy savings for IoT nodes.

scholarly journals Systematizing Genome Privacy Research: A Privacy-Enhancing Technologies Perspective

2019 ◽  
Vol 2019 (1) ◽  
pp. 87-107 ◽  
Author(s):  
Alexandros Mittos ◽  
Bradley Malin ◽  
Emiliano De Cristofaro
Keyword(s):  
Data Privacy ◽  
Online Survey ◽  
Current Knowledge ◽  
Genomic Data ◽  
Well Being ◽  
Security And Privacy ◽  
Genome Data ◽  
Privacy Enhancing Technologies ◽  
Cost Efficient ◽  
New Research

Abstract Rapid advances in human genomics are enabling researchers to gain a better understanding of the role of the genome in our health and well-being, stimulating hope for more effective and cost efficient healthcare. However, this also prompts a number of security and privacy concerns stemming from the distinctive characteristics of genomic data. To address them, a new research community has emerged and produced a large number of publications and initiatives. In this paper, we rely on a structured methodology to contextualize and provide a critical analysis of the current knowledge on privacy-enhancing technologies used for testing, storing, and sharing genomic data, using a representative sample of the work published in the past decade. We identify and discuss limitations, technical challenges, and issues faced by the community, focusing in particular on those that are inherently tied to the nature of the problem and are harder for the community alone to address. Finally, we report on the importance and difficulty of the identified challenges based on an online survey of genome data privacy experts.

scholarly journals Security and Privacy in Location-Based Services for Vehicular and Mobile Communications: An Overview, Challenges, and Countermeasures

2018 ◽  
Vol 5 (6) ◽  
pp. 4778-4802 ◽  
Author(s):  
Philip Asuquo ◽  
Haitham Cruickshank ◽  
Jeremy Morley ◽  
Chibueze P. Anyigor Ogah ◽  
Ao Lei ◽  
...  
Keyword(s):  
Mobile Communications ◽  
Location Based Services ◽  
Security And Privacy

Robustness in Fingerprinting-Based Indoor Positioning Systems

2018 ◽  
pp. 88-141 ◽  
Author(s):  
Shih-Hau Fang
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Signal Strength ◽  
Histogram Equalization ◽  
Indoor Positioning ◽  
Received Signal Strength ◽  
Location Estimation ◽  
Location Based Services ◽  
Indoor Environments ◽  
Positioning Systems

Indoor positioning systems have received increasing attention for supporting location-based services in indoor environments. Received signal strength (RSS), mostly utilized in Wi-Fi fingerprinting systems, is known to be unreliable due to two reasons: orientation mismatch and variations in hardware. This chapter introduces an approach based on histogram equalization to compensate for orientation mismatch in robust Wi-Fi localization. The proposed method involves converting the temporal-spatial radio signal strength into a reference function (i.e., equalizing the histogram). This chapter also introduces an enhanced positioning feature, which is called delta-fused principal strength, to enhance the robustness of Wi-Fi localization against the problem of heterogeneous hardware. This algorithm computes the pairwise delta RSS and then integrates with RSS using principal component analysis. The proposed methods effectively and efficiently improve the robustness of location estimation in the presence of mismatch orientation and hardware variations, respectively.

scholarly journals Surface Correlation-Based Fingerprinting Method Using LTE Signal for Localization in Urban Canyon

Sensors ◽  
2019 ◽  
Vol 19 (15) ◽  
pp. 3325 ◽  
Author(s):  
Jung Ho Lee ◽  
Beomju Shin ◽  
Donghyun Shin ◽  
Jinwoo Park ◽  
Yong Sang Ryu ◽  
...  
Keyword(s):  
Urban Areas ◽  
Service Providers ◽  
Signal Strength ◽  
Multipath Fading ◽  
Location Based Services ◽  
Walking Distance ◽  
Signal Interference ◽  
Measured Signal ◽  
Movement Trajectory ◽  
Fingerprinting Method

The Global Satellite Navigation System (GNSS) used in various location-based services is accurate and stable in outdoor environments. However, it cannot be utilized in an indoor environment because of low signal availability and degradation of accuracy due to the multipath distortion of satellite signals in urban areas. On the contrary, LTE signals are available almost everywhere in urban areas and are quite stable without much variation throughout the year. This is because of the fixed location of base stations and the well-maintained policy of mobile communication service providers. Its varied stability and reliability make LTE signals a more viable method for localization. However, there are some complexities in utilizing LTE signals including signal interference distortion phenomena during propagation multipath fading, and various types of noise. In this paper, we propose a surface correlation-based fingerprinting method to utilize LTE signals for localization in urban areas. The surface correlation converts timely measured signal strength into spatial pattern using the walking distance from a Pedestrian Dead-Reckoning (PDR). The surface correlation is carried out by comparing the spatial signal strength pattern of a pedestrian`s movement trajectory with a fingerprinting database to estimate the location. A reference trajectory of the moving pedestrian is chosen to have a greater correlation among the multiple trajectory candidates generated from a link-based fingerprinting database. By comparing spatial signal strength patterns, the proposed method can improve robustness in localization overcoming the accuracy degradation problem due to RF multipath and noise that are dominant in the conventional RSS measurement-based LTE localization scheme. The test results in urban areas demonstrate that the proposed surface correlation-based fingerprinting method has improved performance compared to the other conventional methods, thus proving to be a useful complementary method to the GNSS in urban areas.

scholarly journals Multi-Slot BLE Raw Database for Accurate Positioning in Mixed Indoor/Outdoor Environments

Data ◽  
2020 ◽  
Vol 5 (3) ◽  
pp. 67 ◽  
Author(s):  
Fernando J. Aranda ◽  
Felipe Parralejo ◽  
Fernando J. Álvarez ◽  
Joaquín Torres-Sospedra
Keyword(s):  
Signal Strength ◽  
Received Signal Strength ◽  
Low Energy ◽  
Location Based Services ◽  
Positioning System ◽  
Positioning Accuracy ◽  
Bluetooth Low Energy ◽  
Outdoor Environments ◽  
The University

The technologies and sensors embedded in smartphones have contributed to the spread of disruptive applications built on top of Location Based Services (LBSs). Among them, Bluetooth Low Energy (BLE) has been widely adopted for proximity and localization, as it is a simple but efficient positioning technology. This article presents a database of received signal strength measurements (RSSIs) on BLE signals in a real positioning system. The system was deployed on two buildings belonging to the campus of the University of Extremadura in Badajoz. the database is divided into three different deployments, changing in each of them the number of measurement points and the configuration of the BLE beacons. the beacons used in this work can broadcast up to six emission slots simultaneously. Fingerprinting positioning experiments are presented in this work using multiple slots, improving positioning accuracy when compared with the traditional single slot approach.

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