About the course
Cyber attacks 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.
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
This course is approximately 7 hours of video content with 1.5 hours of coursework.
Online participants are asked to complete a final exam at the end of each course to maintain the integrity of the program. A score of 85% must be achieved to successfully pass the exam. A digital record of completion will be emailed to participants when they pass the exam.
It is required that participants complete the course evaluation once they have passed the final exam.
John Mitchell is the Mary and Gordon Crary Family Professor in the School of Engineering at Stanford University. He has a faculty appointment in Computer Science, as well as courtesy appointments in Electrical Engineering and the Graduate School of Education. He has research interests in computer...
Professor Boneh heads the applied cryptography group and co-directs the computer security lab. Professor Boneh's research focuses on applications of cryptography to computer security. His work includes cryptosystems with novel properties, web security, security for mobile devices, and cryptanalys...
Neil Daswani is a co-founder of Dasient, Inc., a new stealth-mode Internet security company backed by some of the most influential investors in Silicon Valley. In the past, Neil has served in a variety of research, development, teaching, and managerial roles at Google, Stanford University, DoCoMo...
Because of COVID-19, many providers are cancelling or postponing in-person programs or providing online participation options.
We are happy to help you find a suitable online alternative.