Forensic Analysis of WhatsApp chat data

Kaushik, Keshav; Katara, Yash

doi:10.1109/icrito56286.2022.9965028

Cited by 1 publication

(1 citation statement)

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“…In [4], the procedures for choosing one of three types of information collection before starting an investigation -manual, logical or physical, are considered. Existing data collection technologies use them in various ways to create images of content, files of certain categories of data, or data from a particular application.…”

Section: Methodsmentioning

confidence: 99%

Development of the information-analytical system for monitoring external communications of the enterprise in C#

Butsenko,

Basharina

2024

E3S Web Conf.

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Information security and data protection are currently important elements of the activity of any enterprise. The changes taking place in the global economy stimulate the emergence of new software products that reduce the risk of confidential data leakage. The article proposes a solution to the problem of monitoring and evaluating the communications of enterprise employees with customers, customers and partners. As a result of the study, a software system for monitoring and evaluating two types of messages was developed: voice and text. The main method in the development of this monitoring system is a technical and forensic analysis. With its help, a software implementation of the system was created in the C# programming language. The program consists of two main functional parts: the first part is designed to process audio files, the second is responsible for the analysis of text messages. Also, a detailed description of the main procedures of the program operation is given, taking into account differences in the methods of storing and processing data, which is justified by different formats of the analysed files. Using the developed program can help the enterprise build a communication strategy to reduce further possible costs and identify as much data as possible about intruders. In the future, this system can be improved, and supplemented with functionality and a more user-friendly interface.

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Section: Methodsmentioning

confidence: 99%