Inspire The Next Generation Through Forensics and Ethics
As cybersecurity attacks and fraud have continued to increase during the pandemic, the need for new cybersecurity professionals has also continued to grow. Predictions show a shortage of over 1 million needed professionals in just the next two years. So how do we get more people including women and minorities into cybersecurity?
Cyber forensics combines the structure of the scientific process with the fun of real-world missions, all while teaching both ethics and digital citizenship knowledge. During this webinar we will hear from Daryl Pfeif who has organized Cyber Sleuth Science Lab to inspire more young women and underrepresented students to pursue education and careers in digital forensics and computer science, and from Dr. Damopooulos on the ethics in cybersecurity education.
Daryl Pfeif, Co-Principal Investigator,Cyber Sleuth Science Labs
Daryl Pfeif is the Founding Partner of Digital Forensics Solutions (GotDFS.com) and CEO of Digital Security Associates (GotDSA.com). Since 2004, she has been actively engaged in digital forensics and cyber security, supervising forensic and data breach investigations, security audits and analysis, training, research and software development. Daryl is also a founding Board Member and the COO of DFRWS.org, a volunteer-driven non-profit organization that coordinates international knowledge sharing and collaborative activities for leaders in education, government, and industry to address emerging challenges and to advance the science in DFIR research and practice. Daryl’s most recent endeavor is the Cyber Sleuth Science Lab, (CyberSleuthLab.org) an initiative founded in 2016 to empower young women and other underrepresented youth to pursue careers in DFIR and related fields.
Dr. Dimitrios Damopoulos, Associate Professor, University of South Alabama
Dr. Damopoulos' ten years of research experience combines the Security of smartphones and the Internet of Things (IoT) with Data Mining, Machine Learning (ML) and Deep Learning (DL) to design and build secure behavior-based Intrusion Detection Systems (IDS). His goal is to design and build systems capable of enhancing Machine Learning/Deep Learning, Security systems, and Human- & System- Behaviors, into a synergetic approach. The past three years, Dr. Damopoulos has been involved in the Text Mining domain including sentiment analysis, topic modeling, and stance classification utilizing machine learning for big data.