Mitigating Botnet Attack Using Encapsulated Detection Mechanism (EDM)
Maxwell Scale Uwadia Osagie, C. I. Okoye, Amenze Joy Osagie

TL;DR
This paper discusses a new detection mechanism called Encapsulated Detection Mechanism (EDM) designed to mitigate botnet attacks, which are rapidly growing threats causing significant financial losses worldwide.
Contribution
The paper introduces EDM, a novel detection approach aimed at effectively identifying and mitigating botnet threats in network environments.
Findings
EDM shows improved detection accuracy over existing methods
Significant reduction in botnet-related network threats observed
Potential to save billions in financial losses
Abstract
Botnet as it is popularly called became fashionable in recent times owing to it embedded force on network servers. Botnet has an exponential growth of about 170, 000 within network server and client infrastructures per day. The networking environment on monthly basis battle over 5 million bots. Nigeria as a country loses above one hundred and twenty five (N125) billion naira to network fraud annually, end users such as Banks and other financial institutions battle daily the botnet threats.
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Taxonomy
TopicsNetwork Security and Intrusion Detection · Internet Traffic Analysis and Secure E-voting · Advanced Malware Detection Techniques
