THEFT OF A MOBILE PHONE: SELECTED ISSUES

This article focuses on selected issues related to the theft of mobile phones within the context of substantive criminal law. It discusses the classification of such theft as either a crime or a misdemeanor, considering the criteria for criminalization and current thresholds. Additionally, it examines the legal consequences associated with the functionalities of smartphones, including the unauthorized use of telecommunication services and the problem of stealing digital documents stored on the device. The article bridges theory with practice, Wykładowca providing insight into mobile phone theft as a legal phenomenon with complex implications, requiring detailed analysis and new interpretations in light of modern technologies.

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Publication Details

Journal
Roczniki Administracji i Prawa
Published
2024-09-26
DOI
https://doi.org/10.5604/01.3001.0054.7549
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

THEFT OF A MOBILE PHONE: SELECTED ISSUES

Łukasz Deda
Roczniki Administracji i Prawa
Advanced Malware Detection Techniques
article

THEFT OF A MOBILE PHONE: SELECTED ISSUES

Łukasz Deda
article en

Abstract

This article focuses on selected issues related to the theft of mobile phones within the context of substantive criminal law. It discusses the classification of such theft as either a crime or a misdemeanor, considering the criteria for criminalization and current thresholds. Additionally, it examines the legal consequences associated with the functionalities of smartphones, including the unauthorized use of telecommunication services and the problem of stealing digital documents stored on the device. The article bridges theory with practice, Wykładowca providing insight into mobile phone theft as a legal phenomenon with complex implications, requiring detailed analysis and new interpretations in light of modern technologies.

Roczniki Administracji i PrawaVol. 3(XXIV)
Humanitas (United States) (US)
Openalex Percentile: Top 82%
Advanced Malware Detection Techniques
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