School of Cybersecurity
Rocheston Certified Cybersecurity Engineer (Level 2)
There is no description for this course
Course content
-
Module 2: Deep Network Insights for Deeper Analytics
-
Module 3: Read Privileged Kernel Memory and Leak Data to Escalate Privileges
-
Module 4: Advanced Blockchain Exploits and Cryptocurrency Mining Attacks
-
Module 5: Sophisticated Government use of Cyberweapon Attacks and How they work
-
Module 6: Principles of Quantum Entanglement to Secure Communication (Unhackable networks)
-
Module 7: Guidance For Cybersecurity Disclosure and Advanced Techniques for Cyber Bounty hunting
-
Module 8: Advanced Mobile Banking and ATM Trojans
-
Module 9: Quantum Computing and Cryptography
-
Module 10: Dark Web and How to Download Sophisticated Stealth Tools
-
Module 11: Advanced Cloud Security - Azure, AWS, Digital Ocean, Google VM
-
Module 12: H2O Driverless AI, Amazon SageMaker, and Azure Machine Learning AutoML
-
Module 13: Deepfakes and Generating Automated Fake news
-
Module 14: Advanced Threat Modelling Attacks
-
Module 15: Cognitive-Powered Security Intelligence Platform
-
Module 16: Advanced Ransomware and Cryptojacking Attacks
-
Module 17: Open Source Intelligence in Cybersecurity
-
Module 18: Attacking AI Chatbot and Voice Assistants - Siri, Google Home and Alexa
-
Module 19: DeepLocker: How AI Can Power a Stealthy New Breed of Malware
-
Module 20: Cybersecurity Insurance
-
Module 21: Advanced File System Protection With Cyber Deception
-
Module 22: Legal AI: How Machine Learning Is Aiding, Concerning Law Practitioners
-
Module 23: Advanced Threat Hunting Techniques
-
Module 24: Vulnerability Management Process Based on Weaponization and Asset Value
-
Module 25: Passwordless Authentication With FIDO
-
Module 26: Advanced PowerShell Attacks
-
Module 27: Next Generation of the Cyber Range Attacks
-
Module 28: Advanced Payment Gateway and Financial Cyberattacks
-
Module 29: Developing Immersive Cybersecurity Simulation
-
Module 30: Advanced DDOS Attacks Using IoT Botnets
-
Module 31: Attacking Hidden Endpoint Management Firewalls and IDS
-
Module 32: Advanced BGP Router Attacks
-
Module 33: Machine Learning with Automated Software Vulnerabilities
-
Module 34: Hacking Medical IoT Devices
-
Module 35: Hacking Biometric Security, and Facial Recognition Systems
-
Module 36: Threat Intelligence Models for Cyber Warfare
-
Module 37: Artificial Intelligence and Cyberwarfare
-
Module 38: Hacking Connected Cars
-
Module 39: Hacking Power Grids
-
Module 40: Advanced Mobile Phone Hacking, Spying, GPS and Monitoring
-
Module 41: Home Automation and IoT Gadgets
-
Module 42: How To Use Tensorflow
-
Module 43: Advanced EMP Cyberattacks
-
Module 44: Hacking heart devices and pacemakers
-
Module 45: Integrating IoT Security Into Vulnerability Management Program
-
Module 46: Containers & Cloud Native Security
-
RCCE Level 2 Labs