YoVDO

Cloud-based Detection Techniques for Botnets and Malware - AppSecEU 2014

Offered By: OWASP Foundation via YouTube

Tags

Malware Analysis Courses Cybersecurity Courses Network Traffic Analysis Courses Cloud Security Courses IoT security Courses DDoS Attacks Courses Data Center Security Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore cloud-based detection techniques for botnets and other malware in this informative conference talk from AppSecEU 2014. Delve into the limitations of traditional signature-based malware detection methods and discover how cloud-based traffic analysis can provide pre-infection detection. Learn about the communication patterns of botnets and their potential for launching DDoS attacks against IoT devices and Smart Cities. Examine the advantages of cloud-centric traffic-based detection in complementing traditional anti-malware approaches. Gain insights into the emerging threat of malware in virtual environments and the need for new detection techniques in data center infrastructure. Follow speaker Mark Graham, a PhD student at Anglia Ruskin University, as he covers topics including malware evolution, botnet detection methods, fluxing, correlation, and the challenges posed by virtual environments in cybersecurity.

Syllabus

Introduction
Overview
Malware evolution
Botnets
Signaturebased detection
Botnet evolution
Detecting botnets
Fluxing
Correlation
Virtual Environments
Conclusion
Questions


Taught by

OWASP Foundation

Related Courses

Academia de auditoría en la nube: independencia en la nube (Español LATAM) | Cloud Audit Academy - Cloud Agnostic (Spanish from Latin America)
Amazon Web Services via AWS Skill Builder
Accelerating GKE Incident Response with Prisma Cloud and Cortex XSOAR
Google via Google Cloud Skills Boost
Amazon Detective Deep Dive
A Cloud Guru
AWS Certified Cloud Practitioner (CLF-C01)
A Cloud Guru
AWS Certified Security - Specialty 2020
A Cloud Guru