Cybercrime Predicting in the Light of Police Statistics

Autor: Jerzy Kosiński, Grzegorz Krasnodębski
Rok vydání: 2021
Předmět:
Zdroj: Cybersecurity, Privacy and Freedom Protection in the Connected World ISBN: 9783030685331
DOI: 10.1007/978-3-030-68534-8_5
Popis: Cybercrime is widely felt to be a huge and growing threat to individuals, companies and organizations and even entire countries. In view of the number of such incidents and their potential danger and the need to counteract them adequately, the development of cybercrime should be predict. The paper presents attempts to predict of different categories of cybercrimes in Poland in 2020 and checks whether the predicting of cybercrime gives satisfactory results, as well as to what extent the results of the predicting will indicate a trend and cyclicality in the light of random factors. For this purpose, police statistical data on cybercrime in Poland in the years 2000–2019 were used and the concept of cybercrime and its interpretation in the Polish Penal Code have been described. It also seems to be an important practical issue to determine the time horizon of predicting, based on statistical data obtained from police data, by various exploration methods, as well as the magnitude of predicting error resulting from accidental and cyclical factors. Linear trend and the Holt’s method were used for predicting.
Databáze: OpenAIRE