Big data analytics in public safety and personal security: Challenges and potential

Biliri, Evmorfia; Kokkinakos, Panagiotis; Michailitsi, Ariadni; Papaspyros, Dimitris; Tsapelas, John; Mouzakitis, Spiros; Koussouris, Sotirios; Glickman, Yury; Kirstein, Fabian

doi:10.1109/ice.2017.8280043

Cited by 5 publications

(3 citation statements)

References 2 publications

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“…Personal data about people and their activities also present new opportunities to people and organizations [61,11]. The privacy of personal data is considered a great challenge nowadays.…”

Section: Government Businessmentioning

confidence: 99%

“…The above-mentioned departments are using big data and data analytics to perform analysis of crime history data to forecast and predict incidents and potential impacts for a more proactive response. Police departments can maximize the use of IoTs to collect and share big data amongst relevant stakeholders like police, citizens [11]. The mixing of heterogeneous data from multiple sources of data also provides reliable and up-to-date information and advanced safety and security services to the citizens Transportation and Logistics: PAs generate transportation big data and use it to control traffic, optimize infrastructure, to plan the route, to develop intelligent transport systems, and to enhance road safety [63,55].…”

Section: Rq4 Impact Of the Gbdementioning

confidence: 99%

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Government Big Data Ecosystem: Definitions, Types of Data, Actors, and Roles and the Impact in Public Administrations

Shah

Peristeras

Magnisalis

2021

J. Data and Information Quality

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The public sector, private firms, business community, and civil society are generating data that are high in volume, veracity, and velocity and come from a diversity of sources. This type of data is today known as big data. Public administrations pursue big data as “new oil” and implement data-centric policies to collect, generate, process, share, exploit, and protect data for promoting good governance, transparency, innovative digital services, and citizens’ engagement in public policy. All of the above constitute the Government Big Data Ecosystem (GBDE). Despite the great interest in this ecosystem, there is a lack of clear definitions, the various important types of government data remain vague, the different actors and their roles are not well defined, while the impact in key public administration sectors is not yet deeply understood and assessed. Such research and literature gaps impose a crucial obstacle for a better understanding of the prospects and nascent issues in exploiting GBDE. With this study, we aim to start filling the above-mentioned gaps by organizing our findings from an extended Systematic Literature Review into a framework to organise and address the above-mentioned challenges. Our goal is to contribute in this fast-evolving area by bringing some clarity and establishing common understanding around key elements of the emerging GBDE.

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“…Personal data about people and their activities also present new opportunities to people and organizations [61,11]. The privacy of personal data is considered a great challenge nowadays.…”

Section: Government Businessmentioning

confidence: 99%

Section: Rq4 Impact Of the Gbdementioning

confidence: 99%

Government Big Data Ecosystem: Definitions, Types of Data, Actors, and Roles and the Impact in Public Administrations

Shah

Peristeras

Magnisalis

2021

J. Data and Information Quality

View full text Add to dashboard Cite

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“…Several EU projects and works in literature have tackled in the past the challenges of collaborative networks and platforms for enterprises [4], [5] even for data sharing [6]. Most of these solutions however prefer to follow a more generic approach, ignoring the special characteristics and peculiarities of serving a particular domain.…”

Section: Introductionmentioning

confidence: 99%

Designing a Trusted Data Brokerage Framework in the Aviation Domain

Biliri¹,

Pertselakis²,

Phinikettos³

et al. 2019

Collaborative Networks and Digital Transformation

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In recent years, there is growing interest in the ways the European aviation industry can leverage the multi-source data fusion towards augmented domain intelligence. However, privacy, legal and organisational policies together with technical limitations, hinder data sharing and, thus, its benefits. The current paper presents the ICARUS data policy and assets brokerage framework, which aims to (a) formalise the data attributes and qualities that affect how aviation data assets can be shared and handled subsequently to their acquisition, including licenses, IPR, characterisation of sensitivity and privacy risks, and (b) enable the creation of machine-processable data contracts for the aviation industry. This involves expressing contractual terms pertaining to data trading agreements into a machine-processable language and supporting the diverse interactions among stakeholders in aviation data sharing scenarios through a trusted and robust system based on the Ethereum platform.

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A Novel Template - Based Data Structurization Scheme for Normalizing and Analyzing Medical Data

Chandru¹,

Seetharam²

2018

Intelligent Systems in Cybernetics and Automation Control Theory

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Big data analytics in public safety and personal security: Challenges and potential

Cited by 5 publications

References 2 publications

Government Big Data Ecosystem: Definitions, Types of Data, Actors, and Roles and the Impact in Public Administrations

Government Big Data Ecosystem: Definitions, Types of Data, Actors, and Roles and the Impact in Public Administrations

Designing a Trusted Data Brokerage Framework in the Aviation Domain

A Novel Template - Based Data Structurization Scheme for Normalizing and Analyzing Medical Data

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