Nowadays, Location-based services (LBS) System is commonly used by Mobile users worldwide due to the immense growth of the Internet and Mobile devices. A mobile user uses LBS to access services relevant to their locations. LBS usage raises severe privacy concerns. A secure LBS system is required to protect three fundamentals metrics such as temporal information, user identity, and spatial information. Different models are being used to deal with such privacy metrics such as TTP and NTTP. In current study, we have conducted a comprehensive survey on TTP privacy protecting techniques which are being used in LBS systems. Primarily, it would be facilitating the mobile users with full privacy when they interact with the LBS system. Moreover, it is aimed to provide a promising roadmap to research and development communities for right selection of privacy approach.
This seminar presentation discusses the development of a mobile distributed system for personal security. The system uses GPS and LBS technologies to track a user's location and send emergency alerts via SMS or email with their coordinates. It has a client-server architecture with the mobile phone as the client and synchronization between servers. The system aims to provide location tracking and alerts even when GPS is unavailable by using cell tower or WiFi access point information to determine approximate location. It addresses the problem of location tracking without GPS through a combination of existing technologies and custom developments.
A Survey of Privacy-Preserving Algorithms for Finding meeting point in Mobile...IJERA Editor
Location privacy in Location Based Services (LBS) is the capability to protect the connection between user’s identity, uncertainty sources, servers and database, thereby restraining an impending attacker from conveniently linking users of LBS to convinced locations. Smart Phones have become most important gadget for maintaining the daily activities, highly interconnected urban population is also increasingly dependent on these gadgets to regulate and schedule their daily lives. These applications often depend on current location of user or a class of user. Use of Smart Mapping technology is also increasing in large area; this system provides an easy attainable online platform that can be used for accessing many services. This survey paper projects the privacy-preserving algorithm to find the most favorable meeting location for a class of users. GSM calculates the location of all users.
Cloaking Areas Location Based Services Using Dynamic Grid System & Privacy En...IJMTST Journal
Due to the large increasing use of Location Based Services (LBS), which require personal data of the user to provide the continuous service, protecting the privacy of these data has become a challenge. An approach to preserving a privacy is through anonymity, by hiding the identity and user location data of the mobile device from the service provider(third party) or from any unauthorized party who has access at the user’s request .Considering the challenge mentioned, in this paper gives a classification according to the Architecture, approaches and techniques used in previous works, and presents a survey of solutions to provide anonymity in LBS including the open issues or possible improvements to current solutions. All of this, in order to provide guidelines for choosing the best solution approach to a specific scenery in which anonymity is required.
PERTURBED ANONYMIZATION: TWO LEVEL SMART PRIVACY FOR LBS MOBILE USERS cscpconf
The use of smart mobile devices like tablets, smart phones and navigational gadgets provide
most promising communication and better services to mobile users. Location Based Services
(LBS) have become very common in recent years. Mobile users submit their location dependent
queries to the untrusted LBS server to acquire a particular service. Ideally, user’s personal
information such as location data is supposed to be protected while communicating to LBS and
at the same time quality of service must be maintained. Therefore, there is a need to have a
balanced trade-off between privacy and quality of service. To fulfil such trade-off, this paper
proposes a solution that first forms the cloaking region at mobile device, perform perturbation
to handle the problem of trusted third party and the anonymizer further anonymizes the location
to remove the problem of enough users required to form the cloaking region. The proposed
approach protects the location privacy of the user and also maintains the quality of service by
selecting appropriate service to the particular user. The proposed algorithm provides two-level
location protection to the user, and thus ensures smart mobility of the LBS user.
LPM: A DISTRIBUTED ARCHITECTURE AND ALGORITHMS FOR LOCATION PRIVACY IN LBSIJNSA Journal
Recent advances in mobile communication and development of sophisticated equipments lead to the wide spread use of Location Based Services (LBS). A major concern for large-scale deployment of LBSs is the potential abuse of their client location data, which may imply sensitive personal information. Protecting location information of the mobile user is challenging because a location itself may reveal user identity. Several schemes have been proposed for location cloaking. In our paper, we propose a generic Enhanced Location Privacy Model (LPM), which describes the concept, the architecture, algorithms and the functionalities for location privacy in LBS. As per the architecture, the system ensures location privacy, without trusting anybody including the peers or LBS servers. The system is fully distributed and evaluation shows its efficiency and high level of privacy with QoS
IDP: A Privacy Provisioning Framework for TIP Attributes in Trusted Third Par...Rida Qayyum
Location-Based Services (LBS) System is rapidly growing due to radio communication services with wireless mobile devices having a positioning component in it. LBS System offers location-based services by knowing the actual user position. A mobile user uses LBS to access services relevant to their locations. In order to provide Point of Interest (POI), LBS confronts numerous privacy related challenges in three different formats including Non-Trusted Third Party (NTTP), Trusted Third Party (TTP), and Mobile Peer-to-Peer (P2P). The current study emphasized the TTP based LBS system where the Location server does not provide full privacy to mobile users. In TTP based LBS system, a user’s privacy is concerned with personal identity, location information, and time information. In order to accomplish privacy under these concerns, state-of-the-art existing mechanisms have been reviewed. Hence, the aim to provide a promising roadmap to research and development communities for the right selection of privacy approach has achieved by conducting a comparative survey of the TTP based approaches. Leading to these privacy attributes, the current study addressed the privacy challenge by proposing a new privacy protection model named “Improved Dummy Position” (IDP) that protects TIP (Time, Identity, and Position) attributes under TTP LBS System. In order to validate the privacy level, a comparative analysis has been conducted by implementing the proposed IDP model in the simulation tool, Riverbed Modeler academic edition. The different scenarios of changing query transferring rate evaluate the performance of the proposed model. Simulation results demonstrate that our IDP could be considered as a promising model to protect user’s TIP attributes in a TTP based LBS system due to better performance and improved privacy level. Further, the proposed model extensively compared with the existing work.
This document discusses location based services (LBS) using the Android mobile operating system. It describes the components of an LBS system including mobile devices, applications, communication networks, positioning technologies, and service servers. It also discusses how LBS works on Android, including using the LocationManager class to obtain location from GPS or network providers, and Google Maps API to display maps. Potential applications of LBS are mentioned like navigation, advertising, and tracking family/friends. Advantages of building LBS on Android include its open source nature and ability to access device hardware, while limitations include lack of support from major companies.
Location Based Services, Change in Profile and Notification IRJET Journal
This document discusses a proposed location-based services application for Android devices. It would allow automatic profile changing, weather detection, and message sending based on the user's location. The application would use GPS and internet access to determine the user's location. It describes how location-based services work and the typical components involved, including mobile devices, applications, communication networks, positioning systems like GPS, and backend servers. The proposed application aims to provide these location-based functions for Android smartphones in a simple, automatic way.
This seminar presentation discusses the development of a mobile distributed system for personal security. The system uses GPS and LBS technologies to track a user's location and send emergency alerts via SMS or email with their coordinates. It has a client-server architecture with the mobile phone as the client and synchronization between servers. The system aims to provide location tracking and alerts even when GPS is unavailable by using cell tower or WiFi access point information to determine approximate location. It addresses the problem of location tracking without GPS through a combination of existing technologies and custom developments.
A Survey of Privacy-Preserving Algorithms for Finding meeting point in Mobile...IJERA Editor
Location privacy in Location Based Services (LBS) is the capability to protect the connection between user’s identity, uncertainty sources, servers and database, thereby restraining an impending attacker from conveniently linking users of LBS to convinced locations. Smart Phones have become most important gadget for maintaining the daily activities, highly interconnected urban population is also increasingly dependent on these gadgets to regulate and schedule their daily lives. These applications often depend on current location of user or a class of user. Use of Smart Mapping technology is also increasing in large area; this system provides an easy attainable online platform that can be used for accessing many services. This survey paper projects the privacy-preserving algorithm to find the most favorable meeting location for a class of users. GSM calculates the location of all users.
Cloaking Areas Location Based Services Using Dynamic Grid System & Privacy En...IJMTST Journal
Due to the large increasing use of Location Based Services (LBS), which require personal data of the user to provide the continuous service, protecting the privacy of these data has become a challenge. An approach to preserving a privacy is through anonymity, by hiding the identity and user location data of the mobile device from the service provider(third party) or from any unauthorized party who has access at the user’s request .Considering the challenge mentioned, in this paper gives a classification according to the Architecture, approaches and techniques used in previous works, and presents a survey of solutions to provide anonymity in LBS including the open issues or possible improvements to current solutions. All of this, in order to provide guidelines for choosing the best solution approach to a specific scenery in which anonymity is required.
PERTURBED ANONYMIZATION: TWO LEVEL SMART PRIVACY FOR LBS MOBILE USERS cscpconf
The use of smart mobile devices like tablets, smart phones and navigational gadgets provide
most promising communication and better services to mobile users. Location Based Services
(LBS) have become very common in recent years. Mobile users submit their location dependent
queries to the untrusted LBS server to acquire a particular service. Ideally, user’s personal
information such as location data is supposed to be protected while communicating to LBS and
at the same time quality of service must be maintained. Therefore, there is a need to have a
balanced trade-off between privacy and quality of service. To fulfil such trade-off, this paper
proposes a solution that first forms the cloaking region at mobile device, perform perturbation
to handle the problem of trusted third party and the anonymizer further anonymizes the location
to remove the problem of enough users required to form the cloaking region. The proposed
approach protects the location privacy of the user and also maintains the quality of service by
selecting appropriate service to the particular user. The proposed algorithm provides two-level
location protection to the user, and thus ensures smart mobility of the LBS user.
LPM: A DISTRIBUTED ARCHITECTURE AND ALGORITHMS FOR LOCATION PRIVACY IN LBSIJNSA Journal
Recent advances in mobile communication and development of sophisticated equipments lead to the wide spread use of Location Based Services (LBS). A major concern for large-scale deployment of LBSs is the potential abuse of their client location data, which may imply sensitive personal information. Protecting location information of the mobile user is challenging because a location itself may reveal user identity. Several schemes have been proposed for location cloaking. In our paper, we propose a generic Enhanced Location Privacy Model (LPM), which describes the concept, the architecture, algorithms and the functionalities for location privacy in LBS. As per the architecture, the system ensures location privacy, without trusting anybody including the peers or LBS servers. The system is fully distributed and evaluation shows its efficiency and high level of privacy with QoS
IDP: A Privacy Provisioning Framework for TIP Attributes in Trusted Third Par...Rida Qayyum
Location-Based Services (LBS) System is rapidly growing due to radio communication services with wireless mobile devices having a positioning component in it. LBS System offers location-based services by knowing the actual user position. A mobile user uses LBS to access services relevant to their locations. In order to provide Point of Interest (POI), LBS confronts numerous privacy related challenges in three different formats including Non-Trusted Third Party (NTTP), Trusted Third Party (TTP), and Mobile Peer-to-Peer (P2P). The current study emphasized the TTP based LBS system where the Location server does not provide full privacy to mobile users. In TTP based LBS system, a user’s privacy is concerned with personal identity, location information, and time information. In order to accomplish privacy under these concerns, state-of-the-art existing mechanisms have been reviewed. Hence, the aim to provide a promising roadmap to research and development communities for the right selection of privacy approach has achieved by conducting a comparative survey of the TTP based approaches. Leading to these privacy attributes, the current study addressed the privacy challenge by proposing a new privacy protection model named “Improved Dummy Position” (IDP) that protects TIP (Time, Identity, and Position) attributes under TTP LBS System. In order to validate the privacy level, a comparative analysis has been conducted by implementing the proposed IDP model in the simulation tool, Riverbed Modeler academic edition. The different scenarios of changing query transferring rate evaluate the performance of the proposed model. Simulation results demonstrate that our IDP could be considered as a promising model to protect user’s TIP attributes in a TTP based LBS system due to better performance and improved privacy level. Further, the proposed model extensively compared with the existing work.
This document discusses location based services (LBS) using the Android mobile operating system. It describes the components of an LBS system including mobile devices, applications, communication networks, positioning technologies, and service servers. It also discusses how LBS works on Android, including using the LocationManager class to obtain location from GPS or network providers, and Google Maps API to display maps. Potential applications of LBS are mentioned like navigation, advertising, and tracking family/friends. Advantages of building LBS on Android include its open source nature and ability to access device hardware, while limitations include lack of support from major companies.
Location Based Services, Change in Profile and Notification IRJET Journal
This document discusses a proposed location-based services application for Android devices. It would allow automatic profile changing, weather detection, and message sending based on the user's location. The application would use GPS and internet access to determine the user's location. It describes how location-based services work and the typical components involved, including mobile devices, applications, communication networks, positioning systems like GPS, and backend servers. The proposed application aims to provide these location-based functions for Android smartphones in a simple, automatic way.
Privacy Preservation And Data Security In Location Based ServicesEditorJST
This document summarizes a research paper about preserving privacy and security in location-based services. It proposes a two-stage approach using oblivious transfer and a data retrieval phase to allow a user to query a database without revealing their identity or location to the server. The data on the server is encrypted for security. An intermediate service provider acts as a trusted third party to facilitate the private queries. If data is attacked, it can be recovered from a secondary server using message authentication codes to detect changes. The goal is to let users access location data privately while also protecting the server's data.
Prototyping the Future Potentials of Location Based Services in the Realm of ...IOSR Journals
This document discusses prototyping future potentials of location-based services in e-governance. It begins by defining ubiquitous computing, context-aware applications, and location-based services. It then outlines two classes of LBS - pull, where users actively request location-based data, and push, where networks proactively provide information to users. The document also describes the key components of an LBS communication model, including user devices, communication networks, positioning systems, application servers, and data servers. Lastly, it discusses challenges with incorporating location and context into existing governance models.
This document discusses location-based services (LBS). LBS utilize mobile devices, communication networks, and positioning systems to determine a user's location and provide tailored information and services. The key components of LBS are mobile devices, communication networks, positioning systems, service providers, and data providers. Popular LBS applications include navigation assistance, local search and advertising, and social networking features that share a user's location. For LBS to be useful, they must meet users' information needs by answering questions about their own or others' locations.
This document proposes a user-centric approach called MobiCrowd to improve location privacy in location-based services. MobiCrowd allows mobile users to collaborate by storing each other's location information and responding to queries, hiding users from the location server unless no collaborative peers have the requested information. An epidemic model is developed to analyze how parameters like query rates and data lifetime affect privacy. Results show MobiCrowd hides a high fraction of queries, significantly enhancing privacy, and implementation shows it is lightweight with negligible collaboration costs.
Exploiting Service Similarity for Privacy in Location Based Search QueriesMigrant Systems
This document proposes a privacy-supportive architecture for location-based services that allows users to make informed decisions about location privacy without significantly affecting service quality. The key aspects are:
1) Users first submit queries with generalized locations and receive a "service similarity profile" showing how results may vary across locations.
2) Users can then select a noisy location based on their privacy preferences while observing how it impacts results.
3) An example local search application is described to demonstrate how result set boundaries with no change can be identified, allowing large default privacy regions. Testing found users can add significant location noise while still getting accurate results.
The document proposes a privacy-preserving reputation system for location-based queries. It aims to allow users to query a database of location data (points of interest) while protecting their location information and preventing unauthorized access. The system uses an adaptive oblivious transfer protocol for secure data transmission between the user and location server. It also establishes a secure communication mechanism using encryption and decryption during the data retrieval process. Additionally, the system incorporates a privacy-preserving reputation technique using authorization rules and data integrity checks to control misleading data and ensure data accuracy. The experimental results show that the proposed system using elliptic curve cryptography encryption has lower overhead and delay than existing systems using RSA encryption for private information retrieval.
Privacy - Preserving Reputation with Content Protecting Location Based Queriesiosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
This document proposes a system called MobiCrowd that enhances user location privacy for location-based services. MobiCrowd enables users to obtain location information from other nearby users rather than directly querying the location server. This prevents the server from tracking users' locations. The system relies on users collaboratively sharing cached location data with one another using wireless peer-to-peer connections. Simulations show that MobiCrowd is effective at hiding users' query locations from the server, thereby significantly improving users' privacy.
This document provides a summary of the ongoing evolution and research trends in location-based services (LBS) over the past 10 years. It discusses how LBS applications have become more diverse, including the rise of location-based social networks, gaming, fitness/healthcare applications, and transport services. It also notes the expansion of LBS from outdoor to indoor environments due to advances in indoor positioning technologies and spatial data modeling, allowing LBS in places like malls, museums, and airports. Finally, it outlines several key trends in LBS research like context-awareness, new interface technologies, evaluation of systems, and analysis of LBS-generated data.
This document summarizes a research paper on generating random regions in a spatial cloaking algorithm to preserve location privacy. The paper proposes two algorithms - the first provides a direct list of locations ordered by proximity, while the second generates regions of different shapes to minimize the chances of a user's location being disclosed. Spatial cloaking techniques blur a user's exact location into a cloaked region to satisfy privacy requirements like k-anonymity. The paper presents a system model where users communicate directly with location-based services instead of through peers, and describes how queries are processed by the services to search for points of interest within cloaked regions.
This document summarizes a research paper on privacy in location-based services. It discusses how location privacy is an important issue for location-based services. It describes an architecture used to implement privacy-preserving location services with a client-server model. It also discusses various techniques used for preserving privacy, including obfuscation-based methods, SP-filtering protocols, and Hide and Seek protocols. The paper focuses on implementing and combining the SP-filtering and Hide and Seek protocols to determine if two users are in proximity while preserving their location privacy. It provides details on how these protocols work and how they are implemented using obfuscated locations.
Privacy in Location-Based Services using SP-Filtering in Hide and Seek Protoc...Editor Jacotech
This document summarizes a research paper about preserving privacy in location-based services. It discusses how location privacy is an important issue for location-based services. It describes an architecture used to implement privacy-preserving techniques at the service layer without interfering with existing services. It then covers various privacy-preserving techniques including obfuscation-based methods, SP-filtering protocols, and hide and seek protocols. It provides details on how obfuscation can be used to generalize user locations. It also explains how SP-filtering protocols work to calculate the minimum and maximum distances between generalized locations to determine proximity. Finally, it describes how hide and seek protocols can be combined with SP-filtering to more accurately determine proximity when locations may overlap
IRJET- Security Safe Guarding Location Data ProximityIRJET Journal
The document discusses security safeguarding of location data proximity. It proposes encrypting location data when transmitting requests between users and servers to protect user privacy and data security. The methodology uses symmetric key encryption with an algorithm like AES to encrypt location and other data in transit. This ensures unauthorized entities cannot access the encrypted information. Intermediary servers can act as proxies to hide linkages between user identities and messages from servers. The proposed model uses cloud databases and location-based services to store encrypted user data for protection.
Anonymous Usage of Location-Based Services Through Spatial and.docxrossskuddershamus
Anonymous Usage of Location-Based Services Through Spatial and
Temporal Cloaking
Marco Gruteser and Dirk Grunwald
Department of Computer Science
University of Colorado at Boulder
Boulder, CO 80309
{gruteser,grunwald}@cs.colorado.edu
Abstract
Advances in sensing and tracking technology enable
location-based applications but they also create signif-
icant privacy risks. Anonymity can provide a high de-
gree of privacy, save service users from dealing with
service providers’ privacy policies, and reduce the ser-
vice providers’ requirements for safeguarding private in-
formation. However, guaranteeing anonymous usage of
location-based services requires that the precise location
information transmitted by a user cannot be easily used
to re-identify the subject. This paper presents a mid-
dleware architecture and algorithms that can be used by
a centralized location broker service. The adaptive al-
gorithms adjust the resolution of location information
along spatial or temporal dimensions to meet specified
anonymity constraints based on the entities who may
be using location services within a given area. Using
a model based on automotive traffic counts and carto-
graphic material, we estimate the realistically expected
spatial resolution for different anonymity constraints.
The median resolution generated by our algorithms is
125 meters. Thus, anonymous location-based requests
for urban areas would have the same accuracy currently
needed for E-911 services; this would provide sufficient
resolution for wayfinding, automated bus routing ser-
vices and similar location-dependent services.
1 Introduction
Improvements in sensor and wireless communication
technology enable accurate, automated determination
and dissemination of a user’s or object’s position [1, 2].
There is an immense interest in exploiting this positional
data through location-based services (LBS) [3, 4, 5, 6].
For instance, LBSs could tailor their functionality to the
user’s current location, or vehicle movement data would
improve traffic forecasting and road planning.
However, without safeguards, extensive deployment
of these technologies endangers users’ location privacy
and exhibits significant potential for abuse [7, 8, 9].
Common privacy principles demand, among others, user
consent, purpose binding,1 and adequate data protection
1 When seeking user consent, data collectors need to explain the spe-
cific purpose for which the data will be used. Subsequent use for other
purposes is prohibited without additional user approval.
for collection and usage of personal information [10].
Complying with these principles generally requires no-
tifying users (data subjects) about the data collection and
the purpose through privacy policies; it also entails im-
plementing security measures to ensure that collected
data is only accessed for the agreed-upon purpose.
This paper investigates a complimentary approach that
concentrates on the principle of minimal collection. In
this approach.
Application Of Android Enabled Mobile Device For Personal Information Systemsijasa
The document describes a proposed personal mobile information system (PMIS) developed on the Android platform. The PMIS would provide location-based services like GPS-enabled proximity alerts and a rating system for points of interest. It would also plot routes from a user's location to points of interest, alerting users of any crime incidents along the way based on police data. The system has two types of users: general users who can rate and find points of interest, and police users who can log crime events and update safety ratings to inform alerts for general users. The goal is to create a personalized mobile information system that enhances user safety during navigation.
A survey on hiding user privacy in location based services through clusteringeSAT Journals
Abstract Smartphone’s are being more and more popular as the technology being evolve. The Smartphone’s are capable of providing the location aware services like GPS. They share all the location information with the central location server. When user submit any query then these query also carries some personal information of the user. This query and information is then submitted to the LGS server. At the LBS server this information is not much confidential. Someone can use this information to make user panic. To overcome this we are proposing the new collaborative approach to hide user’s personal data from the LBS server. Our approach does not lead to make changes in the architecture of the LBS server. And we are also not going to use the third party server. Here we are going to use the other user’s device to search other users query so that other user can be get hide from the LBS server. Keywords: Mobile networks, location-based services, location privacy, Bayesian inference attacks, epidemic models
Android application to locate and track mobile phones(aaltm) an implementati...eSAT Journals
Abstract
With the advancement of technology and modern science, people are expecting information about the location of any object for
tracking purposes. GPS is a system which has been implemented and is accessible without any restriction. Having the facility of
GPS, we need a GPS device to calculate the location from the information taken from GPS. This paper presents a study on
Location Based Services and is directed on locating and tracking of Android devices. In this implementation I am using Global
Positioning System (GPS) and Web Services, and android smart phone device since Android devices have a built-in feature of
GPS service. Some latest demanding tools and technology used for this implementation are Java, AVD, WAMP etc.
Keywords: Location Based Services; Global Positioning System (GPS); location; path
USER-DEFINED PRIVACY GRID SYSTEM FOR CONTINUOUS LOCATION-BASED SERVICES - IEE...Nexgen Technology
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Near SBI ATM,
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www.nexgenproject.com
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User-Defined Privacy Grid System for Continuous Location-Based Services1crore projects
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It has been provided Lot of Guidance for Thousands of Students & made them more beneficial in all Technology Training.
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Abstract In today’s world time management is a big task. There could be the possibility that we may forget to do some important and urgent jobs which could results in a negative way for us. Also we have a trend of using smart phones supporting different tools and applications which could make our life simple. Today devices and phones run on many different types of operating systems such as IOS, Android etc. The proposed study is based on android based devices such as smart phones and tablets running on the Android operating system, since Android is designed to be an open source OS it gives a wide opportunity to any developer to develop and try different applications on such devices. In the proposed system we will discuss about the application which provides the service of automatic profile changing based on the user’s location from one to other (e.g. from normal to work mode or vice versa). It uses internet connection and GPS services to learn about the user’s current location and accordingly it updates the profile. Keywords—LBS, anroid OS, profile, GPS.
A Critical Survey on Privacy Prevailing in Mobile Cloud Computing: Challenges...Rida Qayyum
With the explosive growth of mobile applications and extensive praxis of cloud computing, mobile cloud computing has been introduced to be a potential technology for mobile services. But privacy is the main concern for a mobile user in the modern era. In the current study, we address the privacy challenges faced by mobile users while outsourcing their data to the service provider for storage and processing. However, a secure mobile user is required to protect these fundamental privacy factors such as their personal data, real identity, current location and the actual query sent to the cloud vendor server while availing different cloud services. Under these privacy metrics, we evaluated the existing approaches that are counting privacy challenge in mobile cloud computing. The primary focus of this study is to presents a critical survey of recent privacy protection techniques. Leading to objective, the current study conduct a comparative analysis of these state of the art methods with their strong points, privacy level and scalability. After analysis, this paper suggests the pseudo-random permutation method could be a promising solution that can be taken into consideration for preserving user personal information and data query privacy in MCC more efficiently. Primarily, the purpose of the survey was to focus on further advancements of the suggested method. Furthermore, we present the future research directions in the mobile cloud computing paradigms.
Never ask anyone to assign you a research topic because you don't have enough knowledge without reading in this domain. Therefore, this presentation provides all necessary steps to find out a research topic.
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This document discusses prototyping future potentials of location-based services in e-governance. It begins by defining ubiquitous computing, context-aware applications, and location-based services. It then outlines two classes of LBS - pull, where users actively request location-based data, and push, where networks proactively provide information to users. The document also describes the key components of an LBS communication model, including user devices, communication networks, positioning systems, application servers, and data servers. Lastly, it discusses challenges with incorporating location and context into existing governance models.
This document discusses location-based services (LBS). LBS utilize mobile devices, communication networks, and positioning systems to determine a user's location and provide tailored information and services. The key components of LBS are mobile devices, communication networks, positioning systems, service providers, and data providers. Popular LBS applications include navigation assistance, local search and advertising, and social networking features that share a user's location. For LBS to be useful, they must meet users' information needs by answering questions about their own or others' locations.
This document proposes a user-centric approach called MobiCrowd to improve location privacy in location-based services. MobiCrowd allows mobile users to collaborate by storing each other's location information and responding to queries, hiding users from the location server unless no collaborative peers have the requested information. An epidemic model is developed to analyze how parameters like query rates and data lifetime affect privacy. Results show MobiCrowd hides a high fraction of queries, significantly enhancing privacy, and implementation shows it is lightweight with negligible collaboration costs.
Exploiting Service Similarity for Privacy in Location Based Search QueriesMigrant Systems
This document proposes a privacy-supportive architecture for location-based services that allows users to make informed decisions about location privacy without significantly affecting service quality. The key aspects are:
1) Users first submit queries with generalized locations and receive a "service similarity profile" showing how results may vary across locations.
2) Users can then select a noisy location based on their privacy preferences while observing how it impacts results.
3) An example local search application is described to demonstrate how result set boundaries with no change can be identified, allowing large default privacy regions. Testing found users can add significant location noise while still getting accurate results.
The document proposes a privacy-preserving reputation system for location-based queries. It aims to allow users to query a database of location data (points of interest) while protecting their location information and preventing unauthorized access. The system uses an adaptive oblivious transfer protocol for secure data transmission between the user and location server. It also establishes a secure communication mechanism using encryption and decryption during the data retrieval process. Additionally, the system incorporates a privacy-preserving reputation technique using authorization rules and data integrity checks to control misleading data and ensure data accuracy. The experimental results show that the proposed system using elliptic curve cryptography encryption has lower overhead and delay than existing systems using RSA encryption for private information retrieval.
Privacy - Preserving Reputation with Content Protecting Location Based Queriesiosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
This document proposes a system called MobiCrowd that enhances user location privacy for location-based services. MobiCrowd enables users to obtain location information from other nearby users rather than directly querying the location server. This prevents the server from tracking users' locations. The system relies on users collaboratively sharing cached location data with one another using wireless peer-to-peer connections. Simulations show that MobiCrowd is effective at hiding users' query locations from the server, thereby significantly improving users' privacy.
This document provides a summary of the ongoing evolution and research trends in location-based services (LBS) over the past 10 years. It discusses how LBS applications have become more diverse, including the rise of location-based social networks, gaming, fitness/healthcare applications, and transport services. It also notes the expansion of LBS from outdoor to indoor environments due to advances in indoor positioning technologies and spatial data modeling, allowing LBS in places like malls, museums, and airports. Finally, it outlines several key trends in LBS research like context-awareness, new interface technologies, evaluation of systems, and analysis of LBS-generated data.
This document summarizes a research paper on generating random regions in a spatial cloaking algorithm to preserve location privacy. The paper proposes two algorithms - the first provides a direct list of locations ordered by proximity, while the second generates regions of different shapes to minimize the chances of a user's location being disclosed. Spatial cloaking techniques blur a user's exact location into a cloaked region to satisfy privacy requirements like k-anonymity. The paper presents a system model where users communicate directly with location-based services instead of through peers, and describes how queries are processed by the services to search for points of interest within cloaked regions.
This document summarizes a research paper on privacy in location-based services. It discusses how location privacy is an important issue for location-based services. It describes an architecture used to implement privacy-preserving location services with a client-server model. It also discusses various techniques used for preserving privacy, including obfuscation-based methods, SP-filtering protocols, and Hide and Seek protocols. The paper focuses on implementing and combining the SP-filtering and Hide and Seek protocols to determine if two users are in proximity while preserving their location privacy. It provides details on how these protocols work and how they are implemented using obfuscated locations.
Privacy in Location-Based Services using SP-Filtering in Hide and Seek Protoc...Editor Jacotech
This document summarizes a research paper about preserving privacy in location-based services. It discusses how location privacy is an important issue for location-based services. It describes an architecture used to implement privacy-preserving techniques at the service layer without interfering with existing services. It then covers various privacy-preserving techniques including obfuscation-based methods, SP-filtering protocols, and hide and seek protocols. It provides details on how obfuscation can be used to generalize user locations. It also explains how SP-filtering protocols work to calculate the minimum and maximum distances between generalized locations to determine proximity. Finally, it describes how hide and seek protocols can be combined with SP-filtering to more accurately determine proximity when locations may overlap
IRJET- Security Safe Guarding Location Data ProximityIRJET Journal
The document discusses security safeguarding of location data proximity. It proposes encrypting location data when transmitting requests between users and servers to protect user privacy and data security. The methodology uses symmetric key encryption with an algorithm like AES to encrypt location and other data in transit. This ensures unauthorized entities cannot access the encrypted information. Intermediary servers can act as proxies to hide linkages between user identities and messages from servers. The proposed model uses cloud databases and location-based services to store encrypted user data for protection.
Anonymous Usage of Location-Based Services Through Spatial and.docxrossskuddershamus
Anonymous Usage of Location-Based Services Through Spatial and
Temporal Cloaking
Marco Gruteser and Dirk Grunwald
Department of Computer Science
University of Colorado at Boulder
Boulder, CO 80309
{gruteser,grunwald}@cs.colorado.edu
Abstract
Advances in sensing and tracking technology enable
location-based applications but they also create signif-
icant privacy risks. Anonymity can provide a high de-
gree of privacy, save service users from dealing with
service providers’ privacy policies, and reduce the ser-
vice providers’ requirements for safeguarding private in-
formation. However, guaranteeing anonymous usage of
location-based services requires that the precise location
information transmitted by a user cannot be easily used
to re-identify the subject. This paper presents a mid-
dleware architecture and algorithms that can be used by
a centralized location broker service. The adaptive al-
gorithms adjust the resolution of location information
along spatial or temporal dimensions to meet specified
anonymity constraints based on the entities who may
be using location services within a given area. Using
a model based on automotive traffic counts and carto-
graphic material, we estimate the realistically expected
spatial resolution for different anonymity constraints.
The median resolution generated by our algorithms is
125 meters. Thus, anonymous location-based requests
for urban areas would have the same accuracy currently
needed for E-911 services; this would provide sufficient
resolution for wayfinding, automated bus routing ser-
vices and similar location-dependent services.
1 Introduction
Improvements in sensor and wireless communication
technology enable accurate, automated determination
and dissemination of a user’s or object’s position [1, 2].
There is an immense interest in exploiting this positional
data through location-based services (LBS) [3, 4, 5, 6].
For instance, LBSs could tailor their functionality to the
user’s current location, or vehicle movement data would
improve traffic forecasting and road planning.
However, without safeguards, extensive deployment
of these technologies endangers users’ location privacy
and exhibits significant potential for abuse [7, 8, 9].
Common privacy principles demand, among others, user
consent, purpose binding,1 and adequate data protection
1 When seeking user consent, data collectors need to explain the spe-
cific purpose for which the data will be used. Subsequent use for other
purposes is prohibited without additional user approval.
for collection and usage of personal information [10].
Complying with these principles generally requires no-
tifying users (data subjects) about the data collection and
the purpose through privacy policies; it also entails im-
plementing security measures to ensure that collected
data is only accessed for the agreed-upon purpose.
This paper investigates a complimentary approach that
concentrates on the principle of minimal collection. In
this approach.
Application Of Android Enabled Mobile Device For Personal Information Systemsijasa
The document describes a proposed personal mobile information system (PMIS) developed on the Android platform. The PMIS would provide location-based services like GPS-enabled proximity alerts and a rating system for points of interest. It would also plot routes from a user's location to points of interest, alerting users of any crime incidents along the way based on police data. The system has two types of users: general users who can rate and find points of interest, and police users who can log crime events and update safety ratings to inform alerts for general users. The goal is to create a personalized mobile information system that enhances user safety during navigation.
A survey on hiding user privacy in location based services through clusteringeSAT Journals
Abstract Smartphone’s are being more and more popular as the technology being evolve. The Smartphone’s are capable of providing the location aware services like GPS. They share all the location information with the central location server. When user submit any query then these query also carries some personal information of the user. This query and information is then submitted to the LGS server. At the LBS server this information is not much confidential. Someone can use this information to make user panic. To overcome this we are proposing the new collaborative approach to hide user’s personal data from the LBS server. Our approach does not lead to make changes in the architecture of the LBS server. And we are also not going to use the third party server. Here we are going to use the other user’s device to search other users query so that other user can be get hide from the LBS server. Keywords: Mobile networks, location-based services, location privacy, Bayesian inference attacks, epidemic models
Android application to locate and track mobile phones(aaltm) an implementati...eSAT Journals
Abstract
With the advancement of technology and modern science, people are expecting information about the location of any object for
tracking purposes. GPS is a system which has been implemented and is accessible without any restriction. Having the facility of
GPS, we need a GPS device to calculate the location from the information taken from GPS. This paper presents a study on
Location Based Services and is directed on locating and tracking of Android devices. In this implementation I am using Global
Positioning System (GPS) and Web Services, and android smart phone device since Android devices have a built-in feature of
GPS service. Some latest demanding tools and technology used for this implementation are Java, AVD, WAMP etc.
Keywords: Location Based Services; Global Positioning System (GPS); location; path
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User-Defined Privacy Grid System for Continuous Location-Based Services1crore projects
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Abstract In today’s world time management is a big task. There could be the possibility that we may forget to do some important and urgent jobs which could results in a negative way for us. Also we have a trend of using smart phones supporting different tools and applications which could make our life simple. Today devices and phones run on many different types of operating systems such as IOS, Android etc. The proposed study is based on android based devices such as smart phones and tablets running on the Android operating system, since Android is designed to be an open source OS it gives a wide opportunity to any developer to develop and try different applications on such devices. In the proposed system we will discuss about the application which provides the service of automatic profile changing based on the user’s location from one to other (e.g. from normal to work mode or vice versa). It uses internet connection and GPS services to learn about the user’s current location and accordingly it updates the profile. Keywords—LBS, anroid OS, profile, GPS.
Similar to STATE-OF-THE-ART, CHALLENGES: PRIVACY PROVISIONING IN TTP LOCATION BASED SERVICES SYSTEMS (20)
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With the explosive growth of mobile applications and extensive praxis of cloud computing, mobile cloud computing has been introduced to be a potential technology for mobile services. But privacy is the main concern for a mobile user in the modern era. In the current study, we address the privacy challenges faced by mobile users while outsourcing their data to the service provider for storage and processing. However, a secure mobile user is required to protect these fundamental privacy factors such as their personal data, real identity, current location and the actual query sent to the cloud vendor server while availing different cloud services. Under these privacy metrics, we evaluated the existing approaches that are counting privacy challenge in mobile cloud computing. The primary focus of this study is to presents a critical survey of recent privacy protection techniques. Leading to objective, the current study conduct a comparative analysis of these state of the art methods with their strong points, privacy level and scalability. After analysis, this paper suggests the pseudo-random permutation method could be a promising solution that can be taken into consideration for preserving user personal information and data query privacy in MCC more efficiently. Primarily, the purpose of the survey was to focus on further advancements of the suggested method. Furthermore, we present the future research directions in the mobile cloud computing paradigms.
Never ask anyone to assign you a research topic because you don't have enough knowledge without reading in this domain. Therefore, this presentation provides all necessary steps to find out a research topic.
External Defense (TTP based LBS System) Rida Qayyum
Muhammad Usman Ashraf, Rida Qayyum, and Hina Ejaz, ”STATE- OF-THE-ART, CHALLENGES: PRIVACY PROVISIONING IN TTP LOCATION BASED SERVICES SYSTEMS”, International Journal of Advanced Research in Computer Science (IJARCS), Vol. 10, No. 2, pp. 68-75, April 2019. DOI: https://doi.org/10.26483/ijarcs.v10i2
Rida Qayyum, Hina Ejaz “Provisioning Privacy for TIP Attribute in Trusted Third Party (TTP) Location Based Services (LBS) System”, May 2019. DOI: 10.13140/RG.2.2.25631.59041
Rida Qayyum, Hina Ejaz, " Data Security in Mobile Cloud Computing: A State of the Art Review", International Journal of Modern Education and Computer Science (IJMECS), Vol. 12, No. 2, pp. 30-35, April 2020. DOI: 10.5815/ijmecs.2020.02.04
Muhammad Usman Ashraf, Kamal M. Jambi, Rida Qayyum, Hina Ejaz, and Iqra Ilyas “IDP: A Privacy Provisioning Framework for TIP Attributes in Trusted Third Party-based Location-based Services Systems”, International Journal of Advanced Computer Science and Applications(IJACSA), 11(7), pp. 604-617, July 2020. DOI: 10.14569/IJACSA.2020.0110773
Rida Qayyum. " A Roadmap Towards Big Data Opportunities, Emerging Issues and Hadoop as a Solution ", International Journal of Education and Management Engineering (IJEME), Vol.10, No.4, pp.8-17, 2020. DOI: 10.5815/ijeme.2020.04.02
Rida Qayyum,Hina Ejaz."A Comparative Study of Location Based Services Simulators". International Journal of Computer Engineering In Research Trends (IJCERT) ,ISSN:2349-7084 ,Vol.7, Issue 11,pp.1-12, November 2020, DOI :10.22362/ijcert/2020/v7/i11/v7i1101
Provisioning Privacy for TIP Attribute in Trusted Third Party (TTP) Location ...Rida Qayyum
Currently, Location Based Services (LBS) System is rapidly growing due to radio communication services with wireless mobile devices having a positioning component in it. LBS System offers location-based services by knowing the actual user position. A mobile user uses LBS to access services relevant to their locations. In order to provide Point of Interest (POI), LBS confronts numerous privacy-related challenges. Conventionally, LBS systems are treat in three ways including Non-Trusted Third Party (NTTP), Trusted Third Party (TTP) and Mobile Peer-to-Peer (P2P). The current study emphasized the TTP based LBS system where the Location server does not provide full privacy to mobile users. In TTP based LBS system, a user’s privacy is concerned with personal identity, location information, and time information. In order to accomplish privacy under these concerns, state-of-the-art existing mechanisms have been reviewed. Hence, the aim to provide a promising roadmap to research and development communities for right selection of privacy approach has achieved by conducting a comparative survey of the TTP based approaches. Leading to these privacy attributes, current study addressed the privacy challenge by proposing a new privacy protection model named “Improved Dummy Position” (IDP) that protects TIP (Time, Identity, and Position) attributes under TTP LBS System. In order to validate the privacy level, a comparative analysis has been conduct by implementing the proposed IDP model in the simulation tool, Riverbed Modeler academic edition. The different scenarios of changing query transferring rate evaluate the performance of proposed model. Simulation results demonstrate that our IDP could be considered as a promising model to protect user’s TIP attributes in a TTP based LBS system due to better performance and improved privacy level. Further, the proposed model extensively compared with the existing work.
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* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.