Version 1
: Received: 27 January 2023 / Approved: 31 January 2023 / Online: 31 January 2023 (08:59:39 CET)
How to cite:
Noetzold, D.; Rossetto, A.G.D.M.; Leithardt, V.R.Q. Spyware Integrated with Prediction Models for Monitoring Corporate Computers. Preprints.org2023, 2023010580. https://doi.org/10.20944/preprints202301.0580.v1
Noetzold, D.; Rossetto, A.G.D.M.; Leithardt, V.R.Q. Spyware Integrated with Prediction Models for Monitoring Corporate Computers. Preprints.org 2023, 2023010580. https://doi.org/10.20944/preprints202301.0580.v1
Cite as:
Noetzold, D.; Rossetto, A.G.D.M.; Leithardt, V.R.Q. Spyware Integrated with Prediction Models for Monitoring Corporate Computers. Preprints.org2023, 2023010580. https://doi.org/10.20944/preprints202301.0580.v1
Noetzold, D.; Rossetto, A.G.D.M.; Leithardt, V.R.Q. Spyware Integrated with Prediction Models for Monitoring Corporate Computers. Preprints.org 2023, 2023010580. https://doi.org/10.20944/preprints202301.0580.v1
Abstract
Technological innovations and the expansion of Internet access have produced significant changes in the configurations of organizations and, consequently, in the relationships between employees and employers. This new scenario generates the need for greater monitoring in the workplace in order to control inappropriate behavior or situations that may generate misfortunes. Two important problems faced are the dissemination of hate through networks and data leakage that can have social, psychological, and financial impacts. Thus, monitoring tools can be incorporated to assist in surveillance, and thus ensure the achievement of organizational objectives. This paper presents a workplace computer monitoring solution that integrates Spyware techniques, and text sentiment classification, along with a distributed microservices architecture, which aims to collect a range of information and generate alerts to managers regarding hate speech and vulnerabilities. Preliminary tests have been conducted to evaluate the performance of Spyware integrated with prediction models.
Keywords
Electronic monitoring; hate speech; data leakage; prediction.
Subject
Computer Science and Mathematics, Information Systems
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
