22nd Annual CERIAS Cybersecurity Symposium
Event submitted on Tuesday, April 6th 2021, approved by Content Team ✓
This event has been tagged as follows:
AI and machine learning (ML) have become key technologies in information security because they can easily monitor millions of incidents to recognise a wide range of risks, from ransomware leveraging zero-day vulnerabilities to detecting risky behaviour that might lead to a phishing attack or malicious code download. This systems improve over time, building on previous attacks to detect new forms of attacks in the present. User, asset, and network profiles are created using behaviour histories, allowing AI to identify and respond to deviations from existing norms.
Conference Event Summary
The following description was either submitted by the Conference Organizer on Tuesday, April 6th 2021, or created by us.
The 22nd annual CERIAS Security Symposium will bring together experts and practitioners from all areas of cyber and cyber-physical systems with interests in security, privacy, resiliency, autonomy, trusted electronics, and explainable AI.
Attendees will consist of a mix of academic, industry, government, and military representatives who are interested in learning new and innovative ways to secure our future.
The Symposium consists of keynote speakers, panel discussions, technical talks by Purdue research faculty, and Industry SMEs.
It also includes a virtual student poster session. The event also consists of a poster session allowing university students, from multiple schools, highlight their cybersecurity projects and research. There is a sizable number of commercial organizations who attend, and are part of the formal proceeding, but there is no vendor exposition, and we do not allow sales or marketing pitches as part of the formal event.
Complimentary or discounted registration is available to .edu, .org, .gov and .mil attendees.