Hiding in the Mobile Crowd: Location Privacy through Collaboration android project | Hiding in the Mobile Crowd: Location Privacy through Collaboration android project free download
Hiding in the Mobile Crowd: Location Privacy through Collaboration
ABSTRACT:
Location-aware smartphones support various location-based services (LBSs): users query the LBS server and learn on the fly about their surroundings. However, such queries give away private information, enabling the LBS to track users. We address this problem by proposing a user-collaborative privacy-preserving approach for LBSs. Our solution does not require changing the LBS server architecture and does not assume third party servers; yet, it significantly improves users’ location privacy. The gain stems from the collaboration of mobile devices: they keep their context information in a buffer and pass it to others seeking such information. Thus, a user remains hidden from the server, unless all the collaborative peers in the vicinity lack the sought information. We evaluate our scheme against the Bayesian localization attacks that allow for strong adversaries who can incorporate prior knowledge in their attacks. We develop a novel epidemic model to capture the, possibly time-dependent, dynamics of information propagation among users. Used in the Bayesian inference framework, this model helps analyze the effects of various parameters, such as users’ querying rates and the lifetime of context information, on users’ location privacy. The results show that our scheme hides a high fraction of location-based queries, thus significantly enhancing users’ location privacy. Our simulations with real mobility traces corroborate our model-based findings. Finally, our implementation on mobile platforms indicates that it is lightweight and the cost of collaboration is negligible.
EXISTING SYSTEM:
Among other increasingly powerful mobile computing devices, offer various methods of localization. Integrated GPS receivers, or positioning services based on nearby communication infrastructure (Wi-Fi access points or base stations of cellular networks), enable users to position themselves fairly accurately, which has led to a wide offering of Location-based Services (LBSs). Such services can be queried by users to provide real-time information related to the current position and surroundings of the device, e.g., contextual data about points of interest such as petrol stations, or more dynamic information such as traffic conditions. The value of LBSs is in their ability to obtain on the fly up-to-date information. Although LBSs are convenient, disclosing location information can be dangerous. Each time an LBS query is submitted, private information is revealed. Users can be linked to their locations, and multiple pieces of such information can be linked together. They can then be profiled, which leads to unsolicited targeted advertisements or price discrimination.
DISADVANTAGES OF EXISTING SYSTEM:
] Can be inferred from a user’s whereabouts. This could make user the target of blackmail or harassment.
] A stalker can also exploit the location information.
] Misuse their rich data by, e.g., selling it to advertisers or to private investigators.
PROPOSED SYSTEM:
We propose a novel location-privacy preserving mechanism for LBSs. To take advantage of the high effectiveness of hiding user queries from the server, which minimizes the exposed information about the users’ location to the server, we propose a mechanism in which a user can hide in the mobile crowd while using the service. The rationale behind our scheme is that users who already have some location-specific information (originally given by the service provider) can pass it to other users who are seeking such information. They can do so in a wireless peer-to-peer manner. Simply put, information about a location can “remain” around the location it relates to and change hands several times before it expires. Our proposed collaborative scheme enables many users to get such location-specific information from each other without contacting the server, hence minimizing the disclosure of their location information to the adversary
ADVANTAGES OF PROPOSED SYSTEM:
ü The System is attached to the information and protected with the digital signature.
ü Malicious users cannot mislead others into receiving fake information, because messages are digitally signed by the LBS.
ü A user’s query becomes hidden from the server due to MobiCrowd protocol.
MODULES
Ø Mobile Users
Ø Location Based Server (LBS)
Ø User Query
Ø Check authenticity
Ø User privacy
MODULES DESCRIPTION:
MOBILE USERS
Consider N users who move in an area split into M discrete regions/locations. The mobility of each user u is a discrete-time Markov chain on the set of regions: The probability that user u, currently in region ri, will next visit region rj is denoted by pu(rj |ri). Let πu(ri) be the probability that user u is in region ri. Each user possesses a location-aware wireless device, capable of ad hoc device-to-device communication and of connecting to the wireless infrastructure (e.g., cellular and Wi-Fi networks).
LOCATION BASED SERVER (LBS)
As users move between regions, they leverage the infrastructure to submit local-search queries to LBS. The information that the LBS provides expires periodically, in the sense that it is no longer valid. Note that information expiration is not equivalent to the user accessing the LBS: A user accesses the LBS when her information has expired and she wishes to receive the most up-to-date version of it.
USER QUERY
A seeker, essentially a user who does not have the sought information in her buffer, first broadcasts her query to her neighbors through the wireless ad hoc interface of the device. This a local query. Each user with valid information about a region is termed informed user for that region. Users interested in getting location-specific information about a region are called information seekers of that region.
CHECK AUTHENTICITY
The information the LBS provides is self-verifiable, i.e., users can verify the integrity and authenticity of the server responses. This can be done in different ways; in our system, the user device verifies a digital signature of the LBS on each reply by using the LBS provider’s public key. As a result, a compromised access point or mobile device cannot degrade the experience of users by altering replies or disseminating expired information.
USER PRIVACY
In essence, a subset of users in every region has to contact the LBS to get the updated information, and the rest of the users benefit from the peer-to-peer collaboration. Intuitively, the higher the proportion of hidden user queries, the higher her location privacy is.
SYSTEM REQUIREMENTS:
HARDWARE REQUIREMENTS:
Ø System : Pentium IV 2.4 GHz.
Ø Hard Disk : 40 GB.
Ø Floppy Drive : 1.44 Mb.
Ø Monitor : 15 VGA Colour.
Ø Mouse : Logitech.
Ø Ram : 512 Mb.
Ø MOBILE : ANDROID
SOFTWARE REQUIREMENTS:
Ø Operating system : Windows XP/7.
Ø Coding Language : Java 1.7
Ø Tool Kit : Android 2.3 ABOVE
Ø IDE : Eclipse
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