An efficient Location Privacy Protection Scheme based on the Chinese Remainder Theorem

Wang, Jingjing; Han, Yiliang; Yang, Xiaoyuan

doi:10.1109/tst.2016.7488737

Cited by 7 publications

(2 citation statements)

References 9 publications

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“…Widely used today, the major problem that professional policing presents is that it completely ignores the citizen, concentrating its actions exclusively on social offenders' search. This behavior strengthens the idea that the offender's arrest is more important than maintaining order; providing assistance to people; monitoring the consequences of crimes; knowledge of the ways in which crime works; execution of differentiated actions to reduce violence such as urbanization; an improvement in social cohesion; among others [35].…”

Section: The Policy Paradigmsupporting

confidence: 62%

Intelligent Technology to Enhance Policing and Public Accountability

Aloísio¹,

Ce²

2021

AIS

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In view of the situation of violence faced in Brazil, several actors, from the most diverse areas of knowledge, have been dedicated to studying, analyzing and proposing solutions for public security. The great challenge of much of what is produced is to combine theory with practice. In addition, the fact that we do not have State policies, but Government policies contribute significantly to the lack of long-term studies. Discontinuities, whether due to the ineffectiveness of what is proposed, or due to cultural and organizational changes in crime, preclude a cycle of planning, execution, evaluation and correction. This brings us to the first observation of modern public security: volatility. Thus, it is impossible to imagine modern management without the use of technology for the quick and assertive analysis of the problems faced. In this sense, the use of the intelligence, strategy, and technology triad becomes essential for accurate monitoring of these changes, providing guidelines and subsidies for the modernization of public security management and security and policing matrix. Given these statements, the present study has the general objective of presenting the Policy to Combat the Mobility of Crime and its effects on the Public Security of the State of Cear[Pleaseinsert“PrerenderUnicode–˝intopreamble] (Brazil), referring to the period from 2017 to 2019. Through an empirical analysis, statistical data were collected to present a direct scenario of the implementation and the results achieved and present the theoretical relationship between the actions and the results, thus providing an exploratory depth of the facts and their impacts. In order to show the positive results achieved, a quantitative and qualitative method was used to correlate aspects and concepts in the large area of the humanities with practical policing and technological applications. As a result of the implementation of the Combating the Mobility of Crime, the State of Cear[Pleaseinsert“PrerenderUnicode–˝intopreamble] managed to place the number of robberies and homicides among the lowest rates of the decade, gaining national prominence of strategy and technology employed. Thus, the Policy to Combat the Mobility of Crime changed the policing matrix, allowing greater efficiency of the resources used and better monitoring the indicators.

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Section: The Policy Paradigmsupporting

confidence: 62%

Intelligent Technology to Enhance Policing and Public Accountability

Aloísio¹,

Ce²

2021

AIS

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“…In recent years, research regarding the location privacy problem has attracted the interest of many researchers [25][26][27] . The location information of users can be obtained by a variety of applications [28][29][30][31][32] . Recent work in clustering social networks has found location information to also be very important.…”

Section: Related Workmentioning

confidence: 99%

Location- and relation-based clustering on privacy-preserving social networks

Yin

Shen

2018

Tinshhua Sci. Technol.

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Graph clustering has a long-standing problem in that it is difficult to identify all the groups of vertices that are cohesively connected along their internal edges but only sparsely connected along their external edges. Apart from structural information in social networks, the quality of the location-information clustering has been improved by identifying clusters in the graph that are closely connected and spatially compact. However, in real-world scenarios, the location information of some users may be unavailable for privacy reasons, which renders existing solutions ineffective. In this paper, we investigate the clustering problem of privacy-preserving social networks, and propose an algorithm that uses a prediction-and-clustering approach. First, the location of each invisible user is predicted with a probability distribution. Then, each user is iteratively assigned to different clusters. The experimental results verify the effectiveness and efficiency of our method, and our proposed algorithm exhibits high scalability on large social networks.

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An energy efficient privacy-preserving content sharing scheme in mobile social networks

Cai

Han

et al. 2016

Pers Ubiquit Comput

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An efficient Location Privacy Protection Scheme based on the Chinese Remainder Theorem

Cited by 7 publications

References 9 publications

Intelligent Technology to Enhance Policing and Public Accountability

Intelligent Technology to Enhance Policing and Public Accountability

Location- and relation-based clustering on privacy-preserving social networks

An energy efficient privacy-preserving content sharing scheme in mobile social networks

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