scholarly journals Mobility and Spatio-Temporal Exposure Control

2013 ◽  
Author(s):  
Geir M. Køien
Keyword(s):  
Risk Assessment ◽  
Risk Analysis ◽  
Location Privacy ◽  
Location Information ◽  
Exposure Control ◽  
Vm Migration ◽  
Location Data ◽  
Spatio Temporal ◽  
Mobile Subscriber ◽  
User Location

Modern risk assessment methods cover many issues and encompass both risk analysis and corresponding prevention/mitigation measures.However, there is still room for improvement and one aspect that may benefit from more work is “exposure control”.The “exposure” an asset experiences plays an important part in the risks facing the asset.Amongst the aspects that all too regularly get exposed is user identities and user location information,and in a context with mobile subscriber and mobility in the service hosting (VM migration/mobility) the problems associated with lost identity/location privacy becomes urgent.In this paper we look at “exposure control” as a way for analyzing and protecting user identity and user location data.

scholarly journals Privacy vs. Reward in Indoor Location-Based Services

2016 ◽  
Vol 2016 (4) ◽  
pp. 102-122 ◽  
Author(s):  
Kassem Fawaz ◽  
Kyu-Han Kim ◽  
Kang G. Shin
Keyword(s):  
Location Privacy ◽  
Indoor Localization ◽  
Service Providers ◽  
Location Based Services ◽  
Location Information ◽  
Privacy Concerns ◽  
Indoor Location ◽  
Location Data ◽  
Personalized Services ◽  
Privacy Risks

AbstractWith the advance of indoor localization technology, indoor location-based services (ILBS) are gaining popularity. They, however, accompany privacy concerns. ILBS providers track the users’ mobility to learn more about their behavior, and then provide them with improved and personalized services. Our survey of 200 individuals highlighted their concerns about this tracking for potential leakage of their personal/private traits, but also showed their willingness to accept reduced tracking for improved service. In this paper, we propose PR-LBS (Privacy vs. Reward for Location-Based Service), a system that addresses these seemingly conflicting requirements by balancing the users’ privacy concerns and the benefits of sharing location information in indoor location tracking environments. PR-LBS relies on a novel location-privacy criterion to quantify the privacy risks pertaining to sharing indoor location information. It also employs a repeated play model to ensure that the received service is proportionate to the privacy risk. We implement and evaluate PR-LBS extensively with various real-world user mobility traces. Results show that PR-LBS has low overhead, protects the users’ privacy, and makes a good tradeoff between the quality of service for the users and the utility of shared location data for service providers.

scholarly journals Privacy Preserving Spatio-Temporal Databases Based on k-Anonymity

2020 ◽  
Vol 3 (SI1) ◽  
pp. SI82-SI94
Author(s):  
Anh Tuan Truong
Keyword(s):  
Data Mining ◽  
Privacy Protection ◽  
Location Privacy ◽  
Location Based Services ◽  
Sensitive Information ◽  
User Privacy ◽  
Location Data ◽  
Related Information ◽  
Spatio Temporal ◽  
Location Privacy Protection

The development of location-based services and mobile devices has lead to an increase in the location data. Through the data mining process, some valuable information can be discovered from location data. In the other words, an attacker may also extract some private (sensitive) information of the user and this may make threats against the user privacy. Therefore, location privacy protection becomes an important requirement to the success in the development of location-based services. In this paper, we propose a grid-based approach as well as an algorithm to guarantee k-anonymity, a well-known privacy protection approach, in a location database. The proposed approach considers only the information that has significance for the data mining process while ignoring the un-related information. The experiment results show the effectiveness of the proposed approach in comparison with the literature ones.

scholarly journals Location Privacy Protection Scheme for LBS in IoT

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Hongtao Li ◽  
Xingsi Xue ◽  
Zhiying Li ◽  
Long Li ◽  
Jinbo Xiong
Keyword(s):  
Voronoi Diagram ◽  
Privacy Protection ◽  
Location Privacy ◽  
Location Information ◽  
Protection Scheme ◽  
Server Side ◽  
Location Data ◽  
Location Privacy Protection ◽  
Client Side ◽  
Grid Division

The widespread use of Internet of Things (IoT) technology has promoted location-based service (LBS) applications. Users can enjoy various conveniences brought by LBS by providing location information to LBS. However, it also brings potential privacy threats to location information. Location data that contains private information is often transmitted among IoT networks in LBS, and such privacy information should be protected. In order to solve the problem of location privacy leakage in LBS, a location privacy protection scheme based on k -anonymity is proposed in this paper, in which the Geohash coding model and Voronoi graph are used as grid division principles. We adopt the client-server-to-user (CS2U) model to protect the user’s location data on the client side and the server side, respectively. On the client side, the Geohash algorithm is proposed, which converts the user’s location coordinates into a Geohash code of the corresponding length. On the server side, the Geohash code generated by the user is inserted into the prefix tree, the prefix tree is used to find the nearest neighbors according to the characteristics of the coded similar prefixes, and the Voronoi diagram is used to divide the area units to complete the pruning. Then, using the Geohash coding model and the Voronoi diagram grid division principle, the G-V anonymity algorithm is proposed to find k neighbors in an anonymous area so that the user’s location data meets the k -anonymity requirement in the area unit, thereby achieving anonymity protection of location privacy. Theoretical analysis and experimental results show that our method is effective in terms of privacy and data quality while reducing the time of data anonymity.

scholarly journals Surveillance of early stage COVID-19 clusters using search query logs and mobile device-based location information

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Shohei Hisada ◽  
Taichi Murayama ◽  
Kota Tsubouchi ◽  
Sumio Fujita ◽  
Shuntaro Yada ◽  
...  
Keyword(s):  
Web Search ◽  
Early Stage ◽  
Temporal Distribution ◽  
Location Information ◽  
Search Query ◽  
Cluster Development ◽  
Query Logs ◽  
Multiple Devices ◽  
Spatio Temporal ◽  
User Location

Abstract Two clusters of the coronavirus disease 2019 (COVID-19) were confirmed in Hokkaido, Japan, in February 2020. To identify these clusters, this study employed web search query logs of multiple devices and user location information from location-aware mobile devices. We anonymously identified users who used a web search engine (i.e., Yahoo! JAPAN) to search for COVID-19 or its symptoms. We regarded them as web searchers who were suspicious of their own COVID-19 infection (WSSCI). We extracted the location of WSSCI via a mobile operating system application and compared the spatio-temporal distribution of WSSCI with the actual location of the two known clusters. In the early stage of cluster development, we confirmed several WSSCI. Our approach was accurate in this stage and became biased after a public announcement of the cluster development. When other cluster-related resources, such as detailed population statistics, are not available, the proposed metric can capture hints of emerging clusters.

scholarly journals Location-Privacy Leakage and Integrated Solutions for 5G Cellular Networks and Beyond

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5176
Author(s):  
Stefano Tomasin ◽  
Marco Centenaro ◽  
Gonzalo Seco-Granados ◽  
Stefan Roth ◽  
Aydin Sezgin
Keyword(s):  
Cellular Networks ◽  
Mobile Networks ◽  
Location Privacy ◽  
Service Providers ◽  
Information Leakage ◽  
Location Information ◽  
Sensitive Data ◽  
Privacy Leakage ◽  
Improper Use ◽  
User Location

The 5g of cellular networks improves the precision of user localization and provides the means to disclose location information to ott service providers. The nwdaf can further elaborate this information at an aggregated level using artificial intelligence techniques. These powerful features may lead to the improper use of user location information by mno and ott service providers. Moreover, vulnerabilities at various layers may also leak user location information to eavesdroppers. Hence, the privacy of users is likely at risk, as location is part of their sensitive data. In this paper, we first go through the evolution of localization in cellular networks and investigate their effects on location privacy. Then, we propose a location-privacy-preserving integrated solution comprising virtual private mobile networks, an independent authentication and billing authority, and functions to protect wireless signals against location information leakage. Moreover, we advocate the continuous and detailed control of localization services by the user.

Designing Risk Qualitative Assessment on Fiber Optic Instalation Project in Indonesia

2018 ◽  
Vol 2 (01) ◽  
Author(s):  
Devi Pratami
Keyword(s):  
Risk Assessment ◽  
Risk Analysis ◽  
Fiber Optic ◽  
Qualitative Assessment ◽  
Quality And Safety ◽  
Project Implementation ◽  
Cost Impact ◽  
Implementation Assessment ◽  
The Impact ◽  
Impact Cost

A project always has risks that can lead to project failure. In the project, a risk analysis is required to provide an evaluation for the project to proceed as planned. In the event of inadequate planning and ineffective control, it will result in irregularities identified as a risk to the project. This study aims to analyze the qualitative risk on Fiber Optic Installaion project in Sukabumi, West Java, Indonesia. In addition, risk assessment is undertaken on project implementation. Assessment of risk using the impact and probability to measure the impact of risk occurrence. The impacts are more detailed by classified by time impact, cost impact, quality impact, safety and security impact, proximity. The result is there are 36 risk that may occur and mostly risks are associaated by quality and safety&security impact.

IRISK METHOD FOR SECURITY ESTIMATION OF THE SIMULATION POLYGON FOR THE PROTECTION OF CRITICAL INFORMATION RESOURCES

2019 ◽  
Author(s):  
Bogdan Korniyenko ◽  
Lilia Galata
Keyword(s):  
Risk Assessment ◽  
Information System ◽  
Information Security ◽  
Risk Analysis ◽  
Information Resources ◽  
Security System ◽  
Assessment System ◽  
Automated System ◽  
Information Risk ◽  
Critical Information

In this article, the research of information system protection by ana­ ly­ zing the risks for identifying threats for information security is considered. Information risk analysis is periodically conducted to identify information security threats and test the information security system. Currently, various information risk analysis techni­ ques exist and are being used, the main difference being the quantitative or qualitative risk assessment scales. On the basis of the existing methods of testing and evaluation of the vulnerabilities for the automated system, their advantages and disadvantages, for the possibility of further comparison of the spent resources and the security of the information system, the conclusion was made regarding the deter­ mi­ nation of the optimal method of testing the information security system in the context of the simulated polygon for the protection of critical information resources. A simula­ tion ground for the protection of critical information resources based on GNS3 application software has been developed and implemented. Among the considered methods of testing and risk analysis of the automated system, the optimal iRisk methodology was identified for testing the information security system on the basis of the simulated. The quantitative method Risk for security estimation is considered. Generalized iRisk risk assessment is calculated taking into account the following parameters: Vulnerabili­ ty  — vulnerability assessment, Threat — threat assessment, Control — assessment of security measures. The methodology includes a common CVSS vul­ nerability assessment system, which allows you to use constantly relevant coefficients for the calculation of vulnerabilities, as well as have a list of all major vulnerabilities that are associated with all modern software products that can be used in the automated system. The known software and hardware vulnerabilities of the ground are considered and the resistance of the built network to specific threats by the iRisk method is calculated.

scholarly journals The use of the PN-EN 62305-2 standard to the risk assessment of losses in the equipped object in station- devices of the railway traffic controlling

2018 ◽  
Vol 180 ◽  
pp. 05006
Author(s):  
Zofia Wróbel
Keyword(s):  
Risk Assessment ◽  
Risk Analysis ◽  
Public Services ◽  
Lightning Protection ◽  
Control Panel ◽  
The Public ◽  
Railway Traffic ◽  
Correct Estimation ◽  
Atmospheric Discharges

The valuation of the risk of losses makes easy the correct estimation of resulted threats as a result of atmospheric discharges and harms connected to them. Qualifying the need of lightning protection use for the object, we ought to take into account the risk R for the object and for the public services devices. In every case of examining risks we ought to fulfill: the identification of components RX forming the risk, counting the identified components of the risk RX, the entire risk R, identify the tolerated risk RT and compare the risk R with the tolerated value RT. As a result of such analysis we can come to a decision about the use of protection resources. In the report was realized the risk analysis of devices damages for a chosen object - the signal box with installed station - relaying devices of the railway traffic controlling with a computer adjustable control panel. From the realized analysis results that DEHN Risk Tool is a useful tool for the risk analysis of lightning losses in buildings, making possible the improvement of the calculations process, especially in the range of the choice of proper protection resources.

Social Relationship Analysis and Prediction Based on Location Information

2014 ◽  
Vol 926-930 ◽  
pp. 3966-3969
Author(s):  
Hao Hu ◽  
Liang Zhang
Keyword(s):  
Social Relationship ◽  
Social Relation ◽  
Daily Life ◽  
Smart Phones ◽  
Location Information ◽  
Regular Pattern ◽  
Daily Movement ◽  
Location Data ◽  
Relationship Analysis ◽  
Life Pattern

With the development of smart terminal and smart phones, it is more and more conveniently that obtains the peoples locations and movements trajectory. Even though humans daily movement is free and random, we also can find some regular pattern and periodic movements in daily life. These regular movements and locations make up the daily life pattern. The interactions between two daily life pattern cause person-to-person social relation and effect its changing. So we can describe persons life pattern with location data and we also can describe and infer the relations. In this paper, we propose a new method to quantify and predict social relationship affinity with absolute location and approximation location data.

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