Pattern detection for conceptual schema recovery in data-intensive systems

Zanoni, Marco; Perin, Fabrizio; Fontana, Francesca Arcelli; Viscusi, Gianluigi

doi:10.1002/smr.1656

Cited by 22 publications

(14 citation statements)

References 32 publications

(64 reference statements)

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“…None of these attempts investigates the concept of patterns on architectural level. Another concept of using design patterns in data-intensive systems offers [8]. Though, they aim in detecting design patterns for reverse engineering purposes and not safety or security challenges.…”

Section: Background and Related Workmentioning

confidence: 99%

Design Optimization of IoT Models: Structured Safety and Security Flaw Identification

Rauscher

Bauer

2020

Lecture Notes in Business Information Processing

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More and more devices are being interconnected, thus extending the use of Internet of Things (IoT) systems. However, the larger the networks are the more vulnerable and inscrutable they become. This is a significant challenge especially when IoT is used in safety-and security-critical areas. In these areas, a flawless architecture must be guaranteed already in the design phase. Therefore, a structured possibility is needed to scan models completely for vulnerabilities as early as possible. We developed a pattern recognition framework (PRF) that enables the definition of design patterns and anti-patterns. These patterns are used for a holistic and automated identification of flaws in IoT models during design phase and enable a design optimization.

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Section: Background and Related Workmentioning

confidence: 99%

Design Optimization of IoT Models: Structured Safety and Security Flaw Identification

Rauscher

Bauer

2020

Lecture Notes in Business Information Processing

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“…policymakers can then indicate the potential missing or new entities to be considered in (new) policies. Thus, we propose adopting conceptual model features applied for reverse engineering (Zanoni, Perin, Fontana, & Viscusi, ) at the policy level. In this case, the aim is to identify discrepancies between database schemas and current policies and to correlate the information extracted from the database schema with the usage of valuable information for constituencies.…”

Section: Related Workmentioning

confidence: 99%

Information Production and Social Value for Public Policy: A Conceptual Modeling Perspective

Viscusi¹,

Batini²

2016

Policy & Internet

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The article investigates the potential role of conceptual modeling for policymaking. It argues that the use of conceptual schemas may provide an effective understanding of public sector information assets, and how they might be used to satisfy the needs of constituencies, thus having a public as well as social value. The article first defines the information assets of public administration, and goes on to consider the role of conceptual modeling for eliciting social value with regard to open data, using as a case study open data concerning hospitals in the United States, Canada, and Italy. An interpretive framework is outlined to support public managers for choosing the data sets to be “opened,” thereby exploiting public sector information assets under a social value perspective.

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“…The most important of these risks is the unauthorized or accidental deletion of the data [2]. There are file recovery and carving software for recovering deleted files from the storage devices [3]. When the user wants to open a file, the operating system first loads the file into RAM before opening it.…”

Section: Introductionmentioning

confidence: 99%

Recovering Multimedia Files from a Memory Image

Süzen¹,

Taşdelen²

2018

Journal of Polytechnic

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The widespread use of digital technologies increases the size of data stored in digital media. The increased amount of stored data also brings along data security risks. One of the most important risks in personal data security is the unauthorized or accidental data deletion. There are file recovery and carving software for recovering deleted files from the storage devices. Files must be loaded into RAM to be used in the operating system. These files are stored in RAM for a certain amount of time by the memory manager. Therefore, a file opened or deleted by the user in the operating system can be found in the RAM. File carving techniques must be applied to RAM to access these files. In this study, the file carving and the performance values of the multimedia files carved by using different signature structures with file carving software from the RAM image were compared. In the study, carving has been performed with the header and footer signatures of the used and terminated multimedia files (JPG, PNG, GIF, BMP) used in Windows 10 operating system. In the carving process, file carving durations and carving success rates are extracted using different signature structures of the same file type. In the light of these results, the performance data of multimedia file types are evaluated according to the signature structures used. The RAM image retrieval and file carving software used in the study has been developed by us as a part of the Ph.D. project.

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Pattern detection for conceptual schema recovery in data-intensive systems

Cited by 22 publications

References 32 publications

Design Optimization of IoT Models: Structured Safety and Security Flaw Identification

Design Optimization of IoT Models: Structured Safety and Security Flaw Identification

Information Production and Social Value for Public Policy: A Conceptual Modeling Perspective

Recovering Multimedia Files from a Memory Image

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