A Deep Learning-Based Intrusion Detection System for Securing Cloud Computing Environments Against Emerging Cyber Threats

Abstract

The increasing reliance on cloud computing for critical business operations has made cloud
environments a prime target for cyber attacks. Traditional intrusion detection systems often struggle
to keep pace with the evolving threat landscape and the complexity of cloud infrastructures. This
research paper proposes a novel deep learning-based intrusion detection system specifically
designed to secure cloud computing environments against emerging cyber threats. The proposed
system leverages the power of deep neural networks to accurately identify and classify malicious
activities in real-time, enabling prompt response and mitigation measures. The research
methodology involves the collection and preprocessing of a diverse dataset encompassing various
types of cloud-based attacks, such as distributed denial-of-service (DDoS), insider threats, and
advanced persistent threats (APTs). The dataset is used to train and validate a deep learning model,
employing state-of-the-art architectures such as convolutional neural networks (CNNs) and long
short-term memory (LSTM) networks. The model is optimized through rigorous hyperparameter
tuning and cross-validation techniques to ensure high accuracy and generalization capabilities. The
proposed intrusion detection system is evaluated through extensive experiments and benchmarked
against existing solutions, demonstrating superior performance in terms of detection accuracy, false
positive rates, and real-time responsiveness. The study presents a comprehensive analysis of the
system's ability to adapt to new attack patterns and its scalability in handling large-scale cloud
environments. The findings of this research have significant implications for enhancing the security
posture of cloud computing environments. By leveraging deep learning techniques, the proposed
intrusion detection system offers a proactive and intelligent approach to detecting and mitigating
cyber threats, reducing the risk of data breaches and ensuring the confidentiality, integrity, and
availability of cloud-based assets. This research contributes to the advancement of cybersecurity in
the cloud computing era, providing a robust and adaptable solution to safeguard organizations
against the ever-evolving threat landscape.[