Exportar Publicação

Noetzold, D., Rossetto, A., Izquierdo, L. & Leithardt, V. (2023). Use of spyware integrated with prediction models for computer monitoring. In 2023 18th Iberian Conference on Information Systems and Technologies (CISTI). Aveiro: IEEE.

D. Noetzold et al.,  "Use of spyware integrated with prediction models for computer monitoring", in 2023 18th Iberian Conf. on Information Systems and Technologies (CISTI), Aveiro, IEEE, 2023

@inproceedings{noetzold2023_1731984488744,
	author = "Noetzold, D. and Rossetto, A. and Izquierdo, L. and Leithardt, V.",
	title = "Use of spyware integrated with prediction models for computer monitoring",
	booktitle = "2023 18th Iberian Conference on Information Systems and Technologies (CISTI)",
	year = "2023",
	editor = "",
	volume = "",
	number = "",
	series = "",
	doi = "10.23919/cisti58278.2023.10211594",
	publisher = "IEEE",
	address = "Aveiro",
	organization = "",
	url = "https://ieeexplore.ieee.org/document/10211594"
}

TY  - CPAPER
TI  - Use of spyware integrated with prediction models for computer monitoring
T2  - 2023 18th Iberian Conference on Information Systems and Technologies (CISTI)
AU  - Noetzold, D.
AU  - Rossetto, A.
AU  - Izquierdo, L.
AU  - Leithardt, V.
PY  - 2023
SN  - 2166-0727
DO  - 10.23919/cisti58278.2023.10211594
CY  - Aveiro
UR  - https://ieeexplore.ieee.org/document/10211594
AB  - he new scenario of technological innovations and expansion of Internet access have created the need for greater monitoring in the workplace in order to control inappropriate behavior or situations that may cause misfortune. Two important problems faced are the dissemination of hate speech through networks and data leaks that can have social, psychological, and financial impacts. Therefore, monitoring tools can be incorporated to assist in surveillance and thus ensure the achievement of organizational goals. This work presents a computer monitoring solution in the workplace that integrates spyware techniques, sentiment classification in texts, along with a distributed architecture in microservices, aimed at collecting a series of information and generating alerts to managers regarding hate speech and vulnerabilities. Preliminary tests were conducted to evaluate the performance of the Spyware integrated with prediction models.
ER  -