Martin Soukup leads global R&D for the Connected Transport team at Irdeto. Martin’s special talent is being able to see the order in chaos. His current focus is bringing his experience in cybersecurity, IT/OT convergence, and compliance-compatible agility from telecoms and other industries to the connected mobility world. Martin has over 25 years of R&D experience, 16 in cybersecurity. He has led large teams in electronic design, embedded software, high performance networking, cloud, data analytics, and machine learning. He has led ethical hacking teams for 10 years and even wrote his first hack as a teen. He has run startups and held leadership roles in Fortune 500 and medium-sized businesses around the world.
Martin holds a Master of Science in Information Technology from the University of Liverpool (Computer Security) and a Bachelor of Arts Psychology from Carleton University. He has also studied at the University of British Columbia, the University of California at Berkeley, and the Wharton School of Business. Martin has experience speaking about cybersecurity topics and technology trends at various industry events and forums, has numerous academic and trade publications, contributed to robots.txt, IETF, IEEE, ITU-T, Java, and W3C standards. He has over 40 granted and pending patents and is a Senior Member of the IEEE.
Increasingly connected vehicles are increasingly vulnerable to cyberattacks. Learn how machine learning techniques could help anticipate and respond to these malicious attacks. This blog summarizes the white paper DDoS Attack Prediction Using Misbehaviour Detection Model by Anika Anwar of Queen’s Reliable Software Technology (QRST) Lab.
