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Other literature type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Other ORP type . 2025
License: CC BY
Data sources: Datacite
ZENODO
Other ORP type . 2025
License: CC BY
Data sources: Datacite
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Common Security Threats In Client-Server Architecture

Authors: Anukam, Chidalu Clemas;

Common Security Threats In Client-Server Architecture

Abstract

This research paper explores common security threats in client-server communication, which is the foundation of most modern digital systems. It begins by explaining the structure and types of client-server architecture, including two-tier and three-tier systems, before examining key cybersecurity threats such as Man-in-the-Middle (MitM) attacks, Session Hijacking, Cross-Site Scripting (XSS), Cross-Site Request Forgery (CSRF), and SQL Injection. Each attack is explained in simple and clear language, including how it occurs and its impact on client-server communication. The paper also provides detailed preventive measures and best practices, emphasizing encryption, input validation, authentication, and user awareness. The goal of this study is to help readers, especially students and beginners in cybersecurity, understand how these threats work and how to protect client-server systems from them.

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average