Methodology for Data and Information Quality Assessment in the Context of Emergency Situational Awareness

Botega, Leonardo Castro; Souza, Jéssica Oliveira de; Jorge, Fábio Rodrigues; Coneglian, Caio Saraiva; Campos, Márcio Roberto de; Neris, Vânia Paula de Almeida; Araújo, Regina B.

doi:10.1007/s10209-016-0473-0

Cited by 24 publications

(8 citation statements)

References 18 publications

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“…The ISO/IEC 25012 standard [101] and several studies into IQ have helped to develop frameworks (defined as "multidimensional structure consisting of general concepts, relations, classifications, and methodologies that could serve as a resource and guide for developing context-specific IQ measurement models" [86]) and methodologies to assess quality in different fields. However, the authors of [103] affirm that there are no patterns to establish dimensions and functions for IQ. Based on the comment made by Stvilia et al in [86] regarding the limited functionality of IQ frameworks, "most of these frameworks (...) cannot produce robust and systematic models" and "little work had been done to identify and describe the roots of IQ problems".…”

Section: Information Quality Assessment Framework and Methodologiesmentioning

confidence: 99%

Information Quality Assessment for Data Fusion Systems

Becerra

Tobón

Castro-Ospina

et al. 2021

Data

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This paper provides a comprehensive description of the current literature on data fusion, with an emphasis on Information Quality (IQ) and performance evaluation. This literature review highlights recent studies that reveal existing gaps, the need to find a synergy between data fusion and IQ, several research issues, and the challenges and pitfalls in this field. First, the main models, frameworks, architectures, algorithms, solutions, problems, and requirements are analyzed. Second, a general data fusion engineering process is presented to show how complex it is to design a framework for a specific application. Third, an IQ approach, as well as the different methodologies and frameworks used to assess IQ in information systems are addressed; in addition, data fusion systems are presented along with their related criteria. Furthermore, information on the context in data fusion systems and its IQ assessment are discussed. Subsequently, the issue of data fusion systems’ performance is reviewed. Finally, some key aspects and concluding remarks are outlined, and some future lines of work are gathered.

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Section: Information Quality Assessment Framework and Methodologiesmentioning

confidence: 99%

Information Quality Assessment for Data Fusion Systems

Becerra

Tobón

Castro-Ospina

et al. 2021

Data

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“…Magee et al [15] developed a threat intelligence collection system to identify threats by classifying threat intelligence according to its type, maliciousness, and credibility. Botega et al [16] proposed IQESA for assessing information quality. This strategy consisted of three stages: capturing data and information quality requirements, defining metric functions and quantifying quality dimensions, and instantiating contextual information using ontology.…”

Section: Related Workmentioning

confidence: 99%

An Automatic Assessment Method of Cyber Threat Intelligence Combined with ATT&CK Matrix

Zhang

Chen

Bai

et al. 2022

Wireless Communications and Mobile Computing

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With the occurrence of cyber security incidents, the value of threat intelligence is coming to the fore. Timely extracting Indicator of Compromise (IOC) from cyber threat intelligence can quickly respond to threats. However, the sparse text in public threat intelligence scatters useful information, which makes it challenging to assess unstructured threat intelligence. In this paper, we proposed Cyber Threat Intelligence Automated Assessment Model (TIAM), a method to automatically assess highly sparse threat intelligence from multiple dimensions. TIAM implemented automatic classification of threat intelligence based on feature extraction, defined assessment criteria to quantify the value of threat intelligence, and combined ATT&CK to identify attack techniques related to IOC. Finally, we associated the identified IOCs, ATT&CK techniques, and intelligence quantification results. The experimental results shown that TIAM could better assess threat intelligence and help security managers to obtain valuable cyber threat intelligence.

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“…In ''Comparative Study on Skills Needed by Organizations and effectively developed in eLearning Management Courses'' Sousa and González-Loureiro [5] investigates the skills developed in higher education management courses through an eLearning platform. The article ''Methodology for Data and Information Quality Assessment in the Context of Emergency Situation Awareness'' [6] presents a new methodology to improve the capabilities of Situation Assessment system by enriching knowledge about situations with reliable metadata, to provide powerful resources to support decisionmakers in emergency response systems. In ''Meta-model of Information Visualization Based on Treemap'' [7] describes an information visualization classification approach based on Treemap, in order to identify the best information visualization model for a given problem.…”

Section: Development Of the Special Sectionmentioning

confidence: 99%