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Measuring the Efficacy of Real-Time Intrusion Detection Systems - Jeffrey Richard Baez (ANYCon 2017 Videos) (Hacking Illustrated Series InfoSec Tutorial Videos)

Measuring the Efficacy of Real-Time Intrusion Detection Systems
Jeffrey Richard Baez

ANYCon 2017

To solve the problem of attack detection in the cloud, Artificial Intelligence (AI) techniques can be used because AI has the ability to solve a problem after learning from certain examples. It is clear that additional solutions are needed to complement existing security infrastructure in a layered defense model.

Jeffrey Richard Baez is an expert in the field of information technology with more than 16 years experience in information systems (analysis and design), information security and project management. He holds a bachelor's degree in information science and policy and East Asian studies, in addition to a master's degree in information science from the University at Albany. Baez teaches topics in information technology (programming through python, Databases through SQL, and OS & networking fundamentals in Windows and Linux through Kali). He also teaches information security at the intermediate to graduate level in the following areas: cyber incident response, network monitoring, malware analysis, information security policy, user awareness training, penetration testing, and more. Baez serves as the Chief Information Security Officer with New York State Dept. of Financial Services. He also collaborates on curriculum development with the College of Emergency Preparedness, Homeland Security and Cybersecurity. Baez has more than eight industry leading certifications, including the CISSP from (ISC)2 and MCSE from Microsoft.

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