Design and validation of a metamodel for metacognition support in artificial intelligent systems

Piñeres, Manuel Fernando Caro; Josyula, Darsana P.; Cox, Michael T.; Jiménez, Jovani

doi:10.1016/j.bica.2014.07.002

Cited by 35 publications

(27 citation statements)

References 24 publications

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“…Later, a metamodel for managing disaster management knowledge was developed [ 40 ], using an 8-step metamodeling creation process. Moreover, the study in [ 41 ] used 7-step of metamodeling process to design a comprehensive and general purpose metamodel for metacognition that support artificial intelligence systems. To develop MFM, we used an 8-step metamodeling process adapted from [ 39 ], [ 40 ] and [ 41 ], which are the works most closely related to this study, and which present a thorough and structured process for identifying major concepts and their relationships.…”

Section: Mobile Forensic Metamodelmentioning

confidence: 99%

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A metamodel for mobile forensics investigation domain

et al. 2017

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With the rapid development of technology, mobile phones have become an essential tool in terms of crime fighting and criminal investigation. However, many mobile forensics investigators face difficulties with the investigation process in their domain. These difficulties are due to the heavy reliance of the forensics field on knowledge which, although a valuable resource, is scattered and widely dispersed. The wide dispersion of mobile forensics knowledge not only makes investigation difficult for new investigators, resulting in substantial waste of time, but also leads to ambiguity in the concepts and terminologies of the mobile forensics domain. This paper developed an approach for mobile forensics domain based on metamodeling. The developed approach contributes to identify common concepts of mobile forensics through a development of the Mobile Forensics Metamodel (MFM). In addion, it contributes to simplifying the investigation process and enables investigation teams to capture and reuse specialized forensic knowledge, thereby supporting the training and knowledge management activities. Furthermore, it reduces the difficulty and ambiguity in the mobile forensics domain. A validation process was performed to ensure the completeness and correctness of the MFM. The validation was conducted using two techniques for improvements and adjustments to the metamodel. The last version of the adjusted metamodel was named MFM 1.2.

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Section: Mobile Forensic Metamodelmentioning

confidence: 99%

“…The extracted concepts should be related to the MF domain, otherwise, they were excluded. However, similarly to the procedures in [ 39 , 41 , 82 , 83 ], the concepts were extracted manually from each model in Set I. We adapted the concept extraction process from [ 84 – 87 ].…”

Section: Mobile Forensic Metamodelmentioning

confidence: 99%

A metamodel for mobile forensics investigation domain

et al. 2017

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“…In this step investigation processes from the 22 models were extracted based on criteria adapted from [43,44]: i. Titles, abstracts, related works, and conclusions were excluded: the investigation process was either extracted from the diagram or from the main textual model.…”

Section: Phase Ii: Recognize and Extract Database Forensic Investigatmentioning

confidence: 99%

Categorization and Organization of Database Forensic Investigation Processes

et al. 2020

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Database forensic investigation (DBFI) is an important area of research within digital forensics. It's importance is growing as digital data becomes more extensive and commonplace. The challenges associated with DBFI are numerous, and one of the challenges is the lack of a harmonized DBFI process for investigators to follow. In this paper, therefore, we conduct a survey of existing literature with the hope of understanding the body of work already accomplished. Furthermore, we build on the existing literature to present a harmonized DBFI process using design science research methodology. This harmonized DBFI process has been developed based on three key categories (i.e. planning, preparation and pre-response, acquisition and preservation, and analysis and reconstruction). Furthermore, the DBFI has been designed to avoid confusion or ambiguity, as well as providing practitioners with a systematic method of performing DBFI with a higher degree of certainty. INDEX TERMS Database forensics, database forensic investigation, digital forensics, investigation process model.

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“…In this step investigation processes from the 22 models were extracted based on criteria adapted from [45,46]: i. Titles, abstracts, related works, and conclusions were excluded: the investigation process was either extracted from the diagram or the main textual model.…”

Section: Phase 2: Extract Relevant Processesmentioning

confidence: 99%

Towards the Development of an Integrated Incident Response Model for Database Forensic Investigation Field

et al. 2020

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For every contact that is made in a database, a digital trace will potentially be left and most of the database breaches are mostly aimed at defeating the major security goals (Confidentiality, Integrity, and Authenticity) of data that reside in the database. In order to prove/refute a fact during litigation, it is important to identify suitable investigation techniques that can be used to link a potential incident/suspect to the digital crime. As a result, this paper has proposed suitable steps of constructing and Integrated Incident Response Model (IIRM) that can be relied upon in the database forensic investigation field. While developing the IIRM, design science methodology has been adapted and the outcome of this study has shown significant and promising approaches that could be leveraged by digital forensic experts, legal practitioners and law enforcement agencies. This is owing to the fact, that IIRM construction has followed incident investigation principles that are stipulated in ISO guidelines. INDEX TERMS Database security, database forensics investigation, database incident, pre-incident response, during-incident response, post-incident response.

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Design and validation of a metamodel for metacognition support in artificial intelligent systems

Cited by 35 publications

References 24 publications

A metamodel for mobile forensics investigation domain

A metamodel for mobile forensics investigation domain

Categorization and Organization of Database Forensic Investigation Processes

Towards the Development of an Integrated Incident Response Model for Database Forensic Investigation Field

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