Cyberattacks are a serious economic and security threat. To combat both immediate and future dangers, businesses and governments are investing in cyber security. Understanding trends in computer science and how machine learning and anti-malware defenses can respond to threats is a critical component of protecting networks, infrastructure and users.
This course explores the growing challenges of securing sensitive data, networks, mobile devices and applications with different privacy controls to defend against malicious acts.
Includes exclusive interviews with Eric Grosse (Former VP of Security Engineering, Google), Himanshu Dwivedi (CEO, Data Theorem Inc.), Mukul Khullar (Staff Information Security Engineer, LinkedIn) and Parisa Tabriz (Engineering Director, Google).
You Will Learn
Advanced persistent threats and mobile threats
Cloud trust assumptions and threat models
Machine learning use for detection and defenses
Network traffic analysis, web trafficking and defenses
SSL/TLS protocol and authentication infrastructure
Trusted cloud hardware and advanced cryptographic solutions
Dan Boneh, Professor of Computer Science and of Electrical Engineering, Stanford University
Neil Daswani, Chief Information Security Officer, LifeLock (acquired by Symantec)
John Mitchell, Professor of Computer Science and, by courtesy, of Electrical Engineering and of Education, Stanford University