Analyzing, implementing and maintaining security requirements of software-intensive systems and achieving truly secure software systems requires planning for security from ground up, and continuously assuring that security is maintained across the software's lifecycle and after deployment during operations when software evolves. Given the increasing complexity of software systems, new application domains, dynamic and often critical operating conditions, the distributed nature of many software systems and fast moving markets which put pressure on software vendors, building secure systems from ground up becomes even more challenging. Security-related issues have previously been targeted in software engineering sub-communities and venues. In this third edition of the SEAD workshop, we aim to bring the research and practitioner communities of requirements engineers, security experts, architects, developers, and testers together to identify foundations, challenges and formulate solutions related to the analysis, design, implementation, testing, and maintenance of secure software systems. SEAD 2020 will be a "virtual" event.

Keynotes

• Security Engineering for Machine Learning, Gary McGraw (Berryville Institute of Machine Learning, US)

• The Future of Software Security Is Instrumentation, Jeff Williams (Contrast Security, US)

To register click here.