A Study on Improving the Location of CCTV Cameras for Crime Prevention through an Analysis of Population Movement Patterns using Mobile Big Data

The amount of data in our industry and the world is exploding. Data is being collected and stored at unprecedented rates. The challenge is not only to store and manage the vast volume of data, which is also called big data, but also to analyze and query from it. In order to put forward the universal method to response mobile big data query, queries are separated and grouped according to kinds of query for massive mobile objects in the space. The indexing method for grouping the mobile objects with Grid (GG TPR-tree) has great efficiency to manage a massive capacity of mobile objects within a limited area, but it only could meet a part of requirements for mobile big data query if the GG TPR-tree was used solely. This thesis offers solutions to simple immediate query, simple continuous query, active window query, and continuous window query, dynamic condition query and other query requests by employing DTDI index structure. The experiments prove that with the support of DTDI index structure, query of massive mobile objects has higher precision and better query performance.

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Protecting lightweight block cipher implementation in mobile big data computing

Peer-to-Peer Networking and Applications ◽

10.1007/s12083-016-0481-0 ◽

2016 ◽

Vol 11 (2) ◽

pp. 252-264

Author(s):

Weidong Qiu ◽

Bozhong Liu ◽

Can Ge ◽

Lingzhi Xu ◽

Xiaoming Tang ◽

...

Keyword(s):

Big Data ◽

Block Cipher ◽

Mobile Big Data ◽

Lightweight Block Cipher ◽

Big Data Computing

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Urban Crime and Security

Urban Informatics - The Urban Book Series ◽

10.1007/978-981-15-8983-6_14 ◽

2021 ◽

pp. 213-228

Author(s):

Tao Cheng ◽

Tongxin Chen

Keyword(s):

Resource Allocation ◽

Big Data ◽

Crime Prevention ◽

Urban Crime ◽

Data Driven ◽

Big Data Technologies ◽

Urban Security ◽

Made In

AbstractScientists have an enduring interest in understanding urban crime and developing security strategies for mitigating this problem. This chapter reviews the progress made in this topic from historic criminology to data-driven policing. It first reviews the broad implications of urban security and its implementation in practice. Next, it focuses on the tools to prevent urban crime and improve security, from analytical crime hotspot mapping to police resource allocation. Finally, a manifesto of data-driven policing is proposed, with its practical demand for efficient security strategies and the development of big data technologies. It emphasizes that data-driven strategies could be applied in cities due to their promising effectiveness for crime prevention and security improvement.

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Mobile Big Data

Advances in Multimedia and Interactive Technologies - Emerging Perspectives on the Mobile Content Evolution ◽

10.4018/978-1-4666-8838-4.ch008 ◽

2016 ◽

pp. 138-158

Author(s):

Shivom Aggarwal ◽

Abhishek Nayak

Keyword(s):

Big Data ◽

Internet Of Things ◽

Value Chain ◽

Mobile Technologies ◽

Complex Concept ◽

Current Trends ◽

Mobile Big Data ◽

Challenges And Opportunities ◽

New Challenges ◽

Data Ecosystem

Mobile technologies have given rise to tremendous amounts of data in real-time, which can be unstructured and uncertain. This growth can be attributed as Mobile Big Data and provides new challenges and opportunities for innovation. This chapter attempts to define the concept of Mobile Big Data, provide description of various sources of Mobile Big Data and discuss SWAI (Sources Warehousing Analytics Insights) model of Big Data processing. To understand this complex concept, it is important to visualize the Big Data ecosystem, respective players. Moreover, mobile computing, Internet of things, and other associated technologies have been discussed in light of marketing and communications based applications. The current trends in Mobile Big Data and associated value chain help us understand where the next frontiers of innovation are and how one can create value. This is linked to the future aspects of the Mobile Big Data and evolution of technologies from now onwards.

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Digital Economy and Anti-Corruption: New Digital Models

SHS Web of Conferences ◽

10.1051/shsconf/20197103004 ◽

2019 ◽

Vol 71 ◽

pp. 03004

Author(s):

E.L. Sidorenko ◽

A.A. Lykov

Keyword(s):

Artificial Intelligence ◽

Big Data ◽

Internet Of Things ◽

Crime Prevention ◽

Digital Technologies ◽

Digital Economy ◽

Digital Models ◽

Research Results ◽

Corruption Prevention

The authors of this paper consider promising areas of the corruption prevention using the latest digital technologies: Blockchain, Internet of Things, Artificial Intelligence and Big Data. The purpose of this research is the analysis of advantages of the digital economy development in terms of solving social problems and crime prevention. The authors also show functional digital models of the anti-corruption compliance are defined. In addition, the research results include the determination of some shortcomings of the proposed models associated with the imperfection of the current legislation.

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