Advanced Techniques for Detecting and Responding to Cyber Threats in Cloud Environments

EasyChair Preprint 13060

Abstract

Cloud environments have revolutionized the way organizations store, process, and manage data, but they have also introduced new challenges and vulnerabilities in terms of cybersecurity. As the adoption of cloud services continues to rise, so too does the sophistication and frequency of cyber threats targeting cloud infrastructures. In response to this evolving threat landscape, organizations must deploy advanced techniques for detecting and responding to cyber threats in cloud environments effectively.

This article explores advanced techniques and strategies for detecting and responding to cyber threats in cloud environments. It begins by examining the unique challenges posed by cyber threats in cloud environments, including the dynamic nature of cloud infrastructure, the shared responsibility model, and the complexity of multi-cloud and hybrid environments. Understanding these challenges is crucial for developing effective detection and response strategies tailored to cloud environments.

The article then delves into advanced detection techniques, including behavioral analytics, machine learning, and threat intelligence. Behavioral analytics leverages patterns of user behavior and network traffic to identify anomalous activities indicative of potential security threats. Machine learning algorithms analyze vast amounts of data to detect patterns and anomalies, enabling proactive threat detection and response. Threat intelligence feeds provide organizations with real-time information about emerging threats and attack vectors, empowering them to prioritize and respond to the most critical threats effectively

Keyphrases: Cloud environments, Cyber Security, Cyber Threats

@booklet{EasyChair:13060,
  author    = {Shophia Lorriane},
  title     = {Advanced Techniques for Detecting and Responding to Cyber Threats in Cloud Environments},
  howpublished = {EasyChair Preprint 13060},
  year      = {EasyChair, 2024}}