Software agents supporting the security of IT systems handling personal information

Żytniewski, Mariusz; Stanek, Stanisław

doi:10.1080/12460125.2020.1848373

Cited by 4 publications

(3 citation statements)

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“…User behaviors can be assessed and profiled, owing to the availability of a database of potential attack patterns and an algorithm for their investigation. While the relevance of artificial intelligence in IDS/IPS design has been demonstrated by a number of works [32][33][34][35][36], the limitations emphasized by [37] gives a proposal of a system/user assessment mechanism where the user-data-protection algorithm involves the use of software agents. In addition, the results reported in [37] showed that the method can be effective in building user-behavior profiles.…”

Section: Reference-system Architecturementioning

confidence: 99%

“…While the relevance of artificial intelligence in IDS/IPS design has been demonstrated by a number of works [32][33][34][35][36], the limitations emphasized by [37] gives a proposal of a system/user assessment mechanism where the user-data-protection algorithm involves the use of software agents. In addition, the results reported in [37] showed that the method can be effective in building user-behavior profiles. The artificial intelligence algorithm proposed in this article is an extension of that approach and is to be applied in profiling the operations of a smart grid.…”

Section: Reference-system Architecturementioning

confidence: 99%

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A Multi-Agent Adaptive Architecture for Smart-Grid-Intrusion Detection and Prevention

Kisielewicz

Stanek²,

Żytniewski

2022

Energies

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The present paper deals with selected aspects of energy prosumers’ security needs. The analysis reported aim to illustrate the concept of the implementation of intrusion-detection systems (IDS)/intrusion-prevention systems (IPS), as supporting agent systems for smart grids. The contribution proposes the architecture of an agent system aimed at collecting, processing, monitoring, and possibly reacting to changes in the smart grid. Furthermore, an algorithm is proposed to support the construction of a smart-grid-operating profile, based on a set of parameters describing the devices. Its application is presented in the example of data collected from the network, indicating the process of building a device-operation profile and a possible mechanism for detecting its changes. The proposed algorithm for building the operating profile of devices in the smart grid, based on the mechanism of continuous learning by the system, allows for detecting network malfunctions not only in terms of individual events but also regarding limits of the scope of system alerts, by determining the typical behavior of devices in the smart grid. The paper gives recommendations to a software-agent system development, which is dedicated to detecting and preventing anomalies in smart grids.

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Section: Reference-system Architecturementioning

confidence: 99%

Section: Reference-system Architecturementioning

confidence: 99%

A Multi-Agent Adaptive Architecture for Smart-Grid-Intrusion Detection and Prevention

Kisielewicz

Stanek²,

Żytniewski

2022

Energies

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“…Hopes for a breakthrough may be reasonably associated with the application of ontologies in conjunction with multi-agent systems. Work on such solutions has already commenced (Drozdowicz, Paprzycki, and Ganzha 2020;Żytniewski and Stanek 2020;Skorupka, Żytniewski, and Stanek, 2018).…”

Section: Introductionmentioning

confidence: 99%

The Application of IT Tools in Assessing Employees’ Personality and Motivation

Stanek¹,

Sabat²

2021

ERSJ

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Purpose:The paper aims to explore the applicability of information technologies in assessing employee personalities and motivations, outline the evolution trajectories of relevant IT tools, and report experiences with their application methodologies. Design/Methodology/Approach: The paper presents the findings of research on the applicability of IT support tools in determining employees' personality and motivation. The research methods included primarily Development and Assessment Center A&DC, and literature studies. The following techniques were used, interview, participant observation, role play, self-reflection sheet, feedback, and cause-and-effect analysis. The following psychometric tools were also employed: Hogan Systems, Test Intentio Consensio, Thalento. Findings: The proliferating applications of psychometrics are bilaterally tied to progress in related research. Evolution trajectories of considered tools lead toward the embracement of BI, AI, IT ontologies. A&DC methodology should be developed in parallel. Practical Implications: The metaplan technique utilized by the authors compares business practice (what is it like?), as demonstrated by case studies, against a research model (what should it be like?). The resulting recommendations are given.Originality/value: The paper seeks to make a contribution to the methodology foundations for the application of information technology in support of employee personality and motivation assessment, and to indicate paths for the evolution of relevant tools. Identification of user requirements is followed up by a set of practical recommendations, based on descriptors and selection criteria, concerning the use of such tools in organizational settings, with a special focus on the needs of HR knowledge workers.

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