A provenance model based on declarative specifications for intensive data analyses in hemotherapy information systems

A Provenance Model Based on Declarative Specifications for Intensive Data Analyses in Hemotherapy Information Systems

2014 IEEE 10th International Conference on e-Science ◽

10.1109/escience.2014.28 ◽

2014 ◽

Cited By ~ 1

Author(s):

Fernanda Nascimento Almeida ◽

Gisela Tunes ◽

Ester Cerdeira Sabino ◽

Alfredo Mendrone-Junior ◽

Joao Eduardo Ferreira

Keyword(s):

Information Systems ◽

Model Based ◽

Data Analyses ◽

Declarative Specifications

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A Novel Monte-Carlo Simulation-Based Model for Malware Detection (eRBCM)

Electronics ◽

10.3390/electronics10222881 ◽

2021 ◽

Vol 10 (22) ◽

pp. 2881

Author(s):

Muath Alrammal ◽

Munir Naveed ◽

Georgios Tsaramirsis

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Information Systems ◽

Malware Detection ◽

New Model ◽

Malicious Activity ◽

Model Based ◽

Simulation Based ◽

Computer Based ◽

Reinforcement Model

The use of innovative and sophisticated malware definitions poses a serious threat to computer-based information systems. Such malware is adaptive to the existing security solutions and often works without detection. Once malware completes its malicious activity, it self-destructs and leaves no obvious signature for detection and forensic purposes. The detection of such sophisticated malware is very challenging and a non-trivial task because of the malware’s new patterns of exploiting vulnerabilities. Any security solutions require an equal level of sophistication to counter such attacks. In this paper, a novel reinforcement model based on Monte-Carlo simulation called eRBCM is explored to develop a security solution that can detect new and sophisticated network malware definitions. The new model is trained on several kinds of malware and can generalize the malware detection functionality. The model is evaluated using a benchmark set of malware. The results prove that eRBCM can identify a variety of malware with immense accuracy.

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A Case Studies Approach to the Analysis of Profiling and Framing Structures for Pervasive Information Systems

International Journal of Web Portals ◽

10.4018/jwp.2012040101 ◽

2012 ◽

Vol 4 (2) ◽

pp. 1-18 ◽

Cited By ~ 1

Author(s):

José Eduardo Fernandes ◽

Ricardo J. Machado ◽

João Á. Carvalho

Keyword(s):

Information Systems ◽

Case Studies ◽

Software Design ◽

Expert Knowledge ◽

Structural Approach ◽

Technological Changes ◽

Design And Development ◽

Structure Approach ◽

Model Based ◽

Widespread Adoption

Model-Based/Driven Development (MDD) constitutes an approach to software design and development that potentially contributes to: concepts closer to domain and reduction of semantic gaps, automation and less sensitivity to technological changes, and the capture of expert knowledge and reuse. The widespread adoption of pervasive technologies as basis for new systems and applications lead to the need of effectively design pervasive information systems that properly fulfil the goals they were designed for. This paper presents a profiling and framing structure approach for the development of Pervasive Information Systems (PIS). This profiling and framing structure allows the organization of the functionality that can be assigned to computational devices in a system and of the corresponding development structures and models, being. The proposed approach enables a structural approach to PIS development. The paper also presents two case studies that allowed demonstrating the applicability of the approach.

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Frameworks for Model-Based Design of Enterprise Information Systems

Handbook of Research on Modern Systems Analysis and Design Technologies and Applications ◽

10.4018/978-1-59904-887-1.ch021 ◽

2009 ◽

pp. 326-356 ◽

Cited By ~ 1

Author(s):

Mara Nikolaidou ◽

Nancy Alexopoulou

Keyword(s):

Information Systems ◽

System Design ◽

Systems Engineering ◽

System Architecture ◽

Enterprise Architecture ◽

Enterprise Information ◽

Enterprise Information Systems ◽

Model Based ◽

Modern Enterprise ◽

Design Tradeoffs

System design is an important phase of system engineering, determining system architecture to satisfy specific requirements. System design focuses on analyzing performance requirements, system modeling and prototyping, defining and optimizing system architecture, and studying system design tradeoffs and risks. Modern enterprise information systems (EIS) are distributed systems usually built on multitiered client server architectures, which can be modeled using well-known frameworks, such as Zachman enterprise architecture or open distributed processing reference model (RM-ODP). Both frameworks identify different system models, named views, corresponding to discrete stakeholder’s perspectives, specific viewpoints, and could serve as a basis for model-based system design. The main focus of this chapter is to explore the potential of model-based design for enterprise information systems (EIS). To this end, the basic requirements for model-based EIS design are identified, while three alternative approaches are discussed based on the above requirements, namely, rational unified process for systems engineering (RUP SE), UML4ODP and EIS design framework.

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Model-based Design of Trustworthy Health Information Systems

Methods of Information in Medicine ◽

10.1055/s-0038-1625333 ◽

2008 ◽

Vol 47 (05) ◽

pp. 389-391

Author(s):

J. Sztipanovits ◽

E. Ammenwerth ◽

R. Breu

Keyword(s):

Information Systems ◽

Health Information ◽

Health Information Systems ◽

Model Based

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Towards a Model-Based Framework for Forensic-Enabled Cloud Information Systems

Trust, Privacy and Security in Digital Business - Lecture Notes in Computer Science ◽

10.1007/978-3-319-44341-6_3 ◽

2016 ◽

pp. 35-47 ◽

Cited By ~ 5

Author(s):

Stavros Simou ◽

Christos Kalloniatis ◽

Haralambos Mouratidis ◽

Stefanos Gritzalis

Keyword(s):

Information Systems ◽

Model Based

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Model-based Design of Clinical Information Systems

Methods of Information in Medicine ◽

10.3414/me9121 ◽

2008 ◽

Vol 47 (05) ◽

pp. 399-408 ◽

Cited By ~ 3

Author(s):

J. Werner ◽

Y. Lee ◽

B. Malin ◽

A. Ledeczi ◽

J. Mathe

Keyword(s):

Information System ◽

Information Systems ◽

Service Oriented Architecture ◽

Clinical Information System ◽

Clinical Information ◽

Security And Privacy ◽

Clinical Information Systems ◽

Great Promise ◽

Model Based ◽

Business Process Execution

Summary Objective: The goal of this research is to provide a framework to enable the model-based development, simulation, and deployment of clinical information system prototypes with mechanisms that enforce security and privacy policies. Methods: We developed the Model-Integrated Clinical Information System (MICIS), a software toolkit that is based on model-based design techniques and highlevel modeling abstractions to represent complex clinical workflows in a service-oriented architecture paradigm. MICIS translates models into executable constructs, such as web service descriptions, business process execution language procedures, and deployment instructions. MICIS models are enriched with formal security and privacy specifications, which are enforced within the execution environment. Results: We successfully validated our design platform by modeling multiple clinical workflows and deploying them onto the execution platform. Conclusions: The model-based approach shows great promise for developing, simulating, and evolving clinical information systems with formal properties and policy restrictions.

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