AN ARCHITECTURE FOR A DISTRIBUTED CLOUD HONEYPOT

DDoS assaults present a significant menace to the Internet. With the increasing prevalence of the Internet of Things (IoT), the DDoS attack has evolved beyond a simple traffic attack. The primary focus of the attack has shifted from the network layer to the application layer. In addition, DDoS attacks utilizing botnets yield more devastating consequences. The objective of this study is to introduce a novel collaborative active defensive framework that combines Honeypot and cloud platform technologies. This framework is designed to identify and protect against future Distributed Denial of Service (DDoS) assaults inside the Internet of Things (IoT) context. The framework is capable of detecting and mitigating large volumes of malicious traffic, measured in Terabytes, in real-time.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-19
DOI
https://doi.org/10.5281/zenodo.14183574
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

AN ARCHITECTURE FOR A DISTRIBUTED CLOUD HONEYPOT

Zenodo (CERN European Organization for Nuclear Research)
Network Security and Intrusion Detection
article

AN ARCHITECTURE FOR A DISTRIBUTED CLOUD HONEYPOT

article en

Abstract

DDoS assaults present a significant menace to the Internet. With the increasing prevalence of the Internet of Things (IoT), the DDoS attack has evolved beyond a simple traffic attack. The primary focus of the attack has shifted from the network layer to the application layer. In addition, DDoS attacks utilizing botnets yield more devastating consequences. The objective of this study is to introduce a novel collaborative active defensive framework that combines Honeypot and cloud platform technologies. This framework is designed to identify and protect against future Distributed Denial of Service (DDoS) assaults inside the Internet of Things (IoT) context. The framework is capable of detecting and mitigating large volumes of malicious traffic, measured in Terabytes, in real-time.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 60%
Network Security and Intrusion Detection
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AN ARCHITECTURE FOR A DISTRIBUTED CLOUD HONEYPOT · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS