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Forensic Significance of Certain Types of Computer Networks

https://doi.org/10.17803/1729-5920.2024.214.9.072-083

Abstract

Stating the great forensic potential of computer networks, the author differentiates computer networks into 6 types (in terms of functionality and level of service): personal (BAN), personal (PAN), local (LAN), campus (CAN), urban (MAN) and global networks (WAN). It seems that the BAN and PAN level networks can be conditionally combined into a single group — personal networks (some of its devices can be part of both one and the other network or be elements of both at the same time). It is logical to accumulate LAN and CAN networks into a group — collective networks, and megapolis (MAN) and global (WAN) networks into a group — multiuser networks. In the paper, the author focuses on collective and multiuser networks. At the same time, it is also indicated that there is a need to allocate a national level of computer networks. The author examines the criminalistically significant fundamentals of the functioning of the networks under consideration. The paper determines the specifics of the work and the main tasks of the researcher in the study of networks of various levels. It is stated that relevant information can be extracted from almost any type of network. Awareness of the type, hierarchy and level of network coverage will help optimize the investigation by increasing the speed of identifying the provider, the administrator and obtaining information about the network user from him. Based on the results of the study of network specifics, general recommendations for working with any type of network are offered.

About the Author

A. B. Smushkin
Saratov State Law Academy
Russian Federation

Aleksandr B. Smushkin, Cand. Sci. (Law), Associate Professor, Department of Criminology

Saratov



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Review

For citations:


Smushkin A.B. Forensic Significance of Certain Types of Computer Networks. Lex Russica. 2024;77(9):72-83. (In Russ.) https://doi.org/10.17803/1729-5920.2024.214.9.072-083

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ISSN 1729-5920 (Print)
ISSN 2686-7869 (Online)