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2008.pdf", "accessDate": "", "url": "", "note": "", "contentType": "application/pdf", "charset": "", "filename": "Mining user similarity based on location history - 2008.pdf", "md5": "12eac3b37517bd32ddd9672e0b7f7882", "mtime": 1456160845636, "tags": [], "relations": {}, "dateAdded": "2016-02-22T17:07:42Z", "dateModified": "2016-02-22T17:07:42Z" } }, { "key": "WIMDV6NS", "version": 17, "library": { "type": "group", "id": 485255, "name": "LeakyData", "links": { "alternate": { "href": "https://www.zotero.org/groups/leakydata", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/485255/items/WIMDV6NS", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/leakydata/items/WIMDV6NS", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1995943, "username": "bbhpennstate", "name": "Biobehavioral Health", "links": { "alternate": { "href": "https://www.zotero.org/bbhpennstate", "type": "text/html" } } }, "creatorSummary": "Li et al.", "parsedDate": "2008-11", "numChildren": 1 }, "data": { "key": "WIMDV6NS", "version": 17, "itemType": "conferencePaper", "title": "Mining user similarity based on location history", "creators": [ { "creatorType": "author", "firstName": "Quannan", "lastName": "Li" }, { "creatorType": "author", "firstName": "Yu", "lastName": "Zheng" }, { "creatorType": "author", "firstName": "Xing", "lastName": "Xie" }, { "creatorType": "author", "firstName": "Wei-Ying", "lastName": "Ma" } ], "abstractNote": "

The pervasiveness of location-acquisition technologies (GPS, GSM networks, etc.) enable people to conveniently log the location histories they visited with spatio-temporal data. The increasing availability of large amounts of spatio-temporal data pertaining to an individual’s trajectories has given rise to a variety of geographic information systems, and also brings us opportunities and challenges to automatically discover valuable knowledge from these trajectories. In this paper, we move towards this direction and aim to geographically mine the similarity between users based on their location histories. Such user similarity is significant to individuals, communities and businesses by helping them effectively retrieve the information with high relevance. A framework, referred to as hierarchical-graph-based similarity measurement (HGSM), is proposed for geographic information systems to consistently model each individual’s location history and effectively measure the similarity among users. In this framework, we take into account both the sequence property of people’s movement behaviors and the hierarchy property of geographic spaces. We evaluate this framework using the GPS data collected by 65 volunteers over a period of 6 months in the real world. As a result, HGSM outperforms related similarity measures, such as the cosine similarity and Pearson similarity measures.

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Yunus", "lastName": "Nayan" }, { "creatorType": "author", "firstName": "Fazli Subhanc M. Fadzil", "lastName": "Hassan" }, { "creatorType": "author", "firstName": "Muhammad Amir", "lastName": "Khan" } ], "abstractNote": "Abstract The extensive usages of {WLANs} and mobile devices have increased the interest in Indoor localization systems for wireless environments. In the context of wireless-based localization system, researchers have always focused on device-based localization system, in which tracked entities must have a device attached. This practice for many years developed localization systems like Global Positioning System; Radio Frequency based system, Ultrasonic bases system and Infrared base systems. These all location based systems need a device to be attached with tracked entity, in order to run part of localization algorithm. Thus, all these systems are called as active device-based location systems. Recently a new concept device-free localization system is introduced; this system can detect and track any entity without carrying any radio device or participating actively in the localization process. A human body is detected in the device-free localization system by observing the changes in the received signal strength of {WLAN} environment. This paper presents a comprehensive survey of various techniques of the device-free localization system.", "publicationTitle": "Procedia - Social and Behavioral Sciences", "publisher": "", "place": "", "date": "2014", "volume": "129", "issue": "", "section": "", "partNumber": "", "partTitle": "", "pages": "422 - 429", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "http://dx.doi.org/10.1016/j.sbspro.2014.03.696", "citationKey": "", "url": "http://www.sciencedirect.com/science/article/pii/S187704281402878X", "accessDate": "", "PMID": "", "PMCID": "", "ISSN": "1877-0428", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "", "rights": "", "extra": "2nd International Conference on Innovation, Management and Technology Research", "tags": [ { "tag": "Device-free Localization" } ], "collections": [ "KG8C7X25" ], "relations": {}, "dateAdded": "2016-02-22T16:57:16Z", "dateModified": "2016-02-22T16:57:16Z" } }, { "key": "5H268MXF", "version": 13, "library": { "type": "group", "id": 485255, "name": "LeakyData", "links": { "alternate": { "href": "https://www.zotero.org/groups/leakydata", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/485255/items/5H268MXF", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/leakydata/items/5H268MXF", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/485255/items/ZSAZSFKM", "type": "application/json" } }, "meta": { "createdByUser": { "id": 1995943, "username": "bbhpennstate", "name": "Biobehavioral Health", "links": { "alternate": { "href": "https://www.zotero.org/bbhpennstate", "type": "text/html" } } } }, "data": { "key": "5H268MXF", "version": 13, "parentItem": "ZSAZSFKM", "itemType": "attachment", "linkMode": "imported_url", "title": "Device-free Localization Technique for Indoor Detection and Tracking of Human Body: A Survey", 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"href": "https://www.zotero.org/groups/leakydata/items/F9RQNWEF", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/485255/items/MZKQI3EV", "type": "application/json" } }, "meta": { "createdByUser": { "id": 1995943, "username": "bbhpennstate", "name": "Biobehavioral Health", "links": { "alternate": { "href": "https://www.zotero.org/bbhpennstate", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "F9RQNWEF", "version": 11, "parentItem": "MZKQI3EV", "itemType": "attachment", "linkMode": "imported_file", "title": "Indoor Location Using Trilateration Characteristics.pdf", "accessDate": "", "url": "", "note": "", "contentType": "application/pdf", "charset": "", "filename": "Indoor Location Using Trilateration Characteristics.pdf", "md5": "b9e9b7dafa2c4ef979f82c93f17a6a46", "mtime": 1443127428218, "tags": [], "relations": {}, "dateAdded": "2016-02-22T16:52:17Z", "dateModified": "2016-02-22T16:52:17Z" } }, { "key": "MZKQI3EV", "version": 9, "library": { "type": "group", "id": 485255, "name": "LeakyData", "links": { "alternate": { "href": "https://www.zotero.org/groups/leakydata", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/485255/items/MZKQI3EV", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/leakydata/items/MZKQI3EV", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1995943, "username": "bbhpennstate", "name": "Biobehavioral Health", "links": { "alternate": { "href": "https://www.zotero.org/bbhpennstate", "type": "text/html" } } }, "creatorSummary": "Cook et al.", "numChildren": 1 }, "data": { "key": "MZKQI3EV", "version": 9, "itemType": "conferencePaper", "title": "Indoor location using trilateration characteristics", "creators": [ { "creatorType": "author", "firstName": "B", "lastName": "Cook" }, { "creatorType": "author", "firstName": "G", "lastName": "Buckberry" }, { "creatorType": "author", "firstName": "I", "lastName": "Scowcroft" }, { "creatorType": "author", "firstName": "J", "lastName": "Mitchell" }, { "creatorType": "author", "firstName": "T", "lastName": "Allen" } ], "abstractNote": "", "proceedingsTitle": "", "conferenceName": "", "publisher": "Citeseer", "place": "", "date": "", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "", "series": "", "seriesNumber": "", "DOI": "", "ISBN": "", "citationKey": "", "url": "", "accessDate": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "KG8C7X25" ], "relations": {}, "dateAdded": "2016-02-22T16:51:49Z", "dateModified": "2016-02-22T16:51:49Z" } }, { "key": "XJIBU9FI", "version": 8, "library": { "type": "group", "id": 485255, "name": "LeakyData", "links": { "alternate": { "href": "https://www.zotero.org/groups/leakydata", "type": "text/html" } } }, "links": { "self": { "href": 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"relations": {}, "dateAdded": "2016-02-22T16:49:15Z", "dateModified": "2016-02-22T16:49:15Z" } }, { "key": "MRDUU4C8", "version": 6, "library": { "type": "group", "id": 485255, "name": "LeakyData", "links": { "alternate": { "href": "https://www.zotero.org/groups/leakydata", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/485255/items/MRDUU4C8", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/leakydata/items/MRDUU4C8", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/485255/items/Q63INUPB", "type": "application/json" } }, "meta": { "createdByUser": { "id": 1995943, "username": "bbhpennstate", "name": "Biobehavioral Health", "links": { "alternate": { "href": "https://www.zotero.org/bbhpennstate", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "MRDUU4C8", "version": 6, "parentItem": "Q63INUPB", "itemType": "attachment", "linkMode": "imported_file", "title": "Thwarting location privacy protection inlocation-based social discovery services - 2016.pdf", "accessDate": "", "url": "", "note": "", "contentType": "application/pdf", "charset": "", "filename": "Thwarting location privacy protection inlocation-based social discovery services - 2016.pdf", "md5": "b1f0d7882b01225313a8a92f6ec41107", "mtime": 1455836825415, "tags": [], "relations": {}, "dateAdded": "2016-02-22T16:48:49Z", "dateModified": "2016-02-22T16:48:49Z" } }, { "key": "Q63INUPB", "version": 4, "library": { "type": "group", "id": 485255, "name": "LeakyData", "links": { "alternate": { "href": "https://www.zotero.org/groups/leakydata", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/485255/items/Q63INUPB", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/leakydata/items/Q63INUPB", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1995943, "username": "bbhpennstate", "name": "Biobehavioral Health", "links": { "alternate": { "href": "https://www.zotero.org/bbhpennstate", "type": "text/html" } } }, "creatorSummary": "Xue et al.", "parsedDate": "2015-04", "numChildren": 1 }, "data": { "key": "Q63INUPB", "version": 4, "itemType": "conferencePaper", "title": "I know where you are: Thwarting privacy protection in location-based social discovery services", "creators": [ { "creatorType": "author", "firstName": "Minhui", "lastName": "Xue" }, { "creatorType": "author", "firstName": "Yong", "lastName": "Liu" }, { "creatorType": "author", "firstName": "K.W.", "lastName": "Ross" }, { "creatorType": "author", "firstName": "Haifeng", "lastName": "Qian" } ], "abstractNote": "", "proceedingsTitle": "Computer Communications Workshops (INFOCOM WKSHPS), 2015 IEEE Conference on", "conferenceName": "", "publisher": "", "place": "", "date": "April 2015", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "179-184", "series": "", "seriesNumber": "", "DOI": "10.1109/INFCOMW.2015.7179381", "ISBN": "", "citationKey": "", "url": "", "accessDate": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Accuracy" }, { "tag": "Conferences" }, { "tag": "Global Positioning System" }, { "tag": "Lattices" }, { "tag": "Probes" }, { "tag": "data privacy" }, { "tag": "geographic neighborhoods" }, { "tag": "location-based social discovery services" }, { "tag": "mobile computing" }, { "tag": "multiple virtual probes" }, { "tag": "original LBSD services" }, { "tag": "privacy" }, { "tag": "privacy protection" }, { "tag": "user location privacy leakage problem" } ], "collections": [ "5QDAFJ5X" ], "relations": {}, "dateAdded": "2016-02-22T16:48:31Z", "dateModified": "2016-02-22T16:48:31Z" } }, { "key": "DI5S6868", "version": 3, "library": { "type": "group", "id": 485255, "name": "LeakyData", "links": { "alternate": { "href": "https://www.zotero.org/groups/leakydata", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/485255/items/DI5S6868", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/leakydata/items/DI5S6868", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1995943, "username": "bbhpennstate", "name": "Biobehavioral Health", "links": { "alternate": { "href": "https://www.zotero.org/bbhpennstate", "type": "text/html" } } }, "creatorSummary": "Polakis et al.", "parsedDate": "2015-10", "numChildren": 1 }, "data": { "key": "DI5S6868", "version": 3, "itemType": "conferencePaper", "title": "Where's Wally?: Precise User Discovery Attacks in Location Proximity Services", "creators": [ { "creatorType": "author", "firstName": "Iasonas", "lastName": "Polakis" }, { "creatorType": "author", "firstName": "George", "lastName": "Argyros" }, { "creatorType": "author", "firstName": "Theofilos", "lastName": "Petsios" }, { "creatorType": "author", "firstName": "Suphannee", "lastName": "Sivakorn" }, { "creatorType": "author", "firstName": "Angelos D.", "lastName": "Keromytis" } ], "abstractNote": "Location proximity schemes have been adopted by social networks and other smartphone apps as a means of balancing user privacy with utility. However, misconceptions about the privacy offered by proximity services have rendered users vulnerable to trilateration attacks that can expose their location. Such attacks have received major publicity. and, as a result, popular service providers have deployed countermeasures for preventing user discovery attacks. In this paper, we systematically assess the effectiveness of the defenses that proximity services have deployed against adversaries attempting to identify a user's location. We provide the theoretical foundation for formalizing the problem under different proximity models, design practical attacks for each case, and prove tight bounds on the number of queries required for carrying out the attacks. To evaluate the completeness of our approach, we conduct extensive experiments against popular services. While we identify a diverse set of defense techniques that prevent trilateration attacks, we demonstrate their inefficiency against more elaborate attacks. In fact, we pinpoint Facebook users within 5 meters of their exact location, and 90% of Foursquare users within 15 meters. Our attacks are extremely efficient and complete within 3-7 seconds. The severity of our attacks was acknowledged by Facebook and Foursquare, both of which have followed our recommendations and adopted spatial cloaking to protect their users. Furthermore, our findings have wide implications as numerous popular apps with a massive user base remain vulnerable to this significant threat.", "proceedingsTitle": "Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security", "conferenceName": "", "publisher": "ACM", "place": "Denver, CO, USA", "date": "October 2015", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "817–828", "series": "CCS '15", "seriesNumber": "", "DOI": "10.1145/2810103.2813605", "ISBN": "978-1-4503-3832-5", "citationKey": "", "url": "http://dx.doi.org/10.1145/2810103.2813605", "accessDate": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "location" }, { "tag": "privacy" }, { "tag": "security" } ], "collections": [ "5QDAFJ5X" ], "relations": {}, "dateAdded": "2016-02-22T16:29:06Z", "dateModified": "2016-02-22T16:29:06Z" } } ]