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Mon 10 Oct 2022 09:30 - 10:00 at Ambassador A - Opening, Keynote and Session 1

The growth in the popularity of smart contracts has been accompanied by a rise in security attacks targeting smart contracts, which have led to financial losses of millions of dollars and erosion of trust. To enable developers discover vulnerabilities in smart contracts, several static analysis tools have been proposed. However, despite the numerous bug-finding tools, security vulnerabilities abound in smart contracts, and developers rely on finding vulnerabilities manually. Our goal in this dissertation study is to expand the space of security vulnerabilities detection by proposing effective static analysis approaches for smart contracts. We study the effectiveness of the existing static analysis tools and propose solutions for security vulnerabilities detection relying on analyzing the dependency of the contract code on user inputs that lead to security vulnerabilities. Our results of evaluating static analysis tools show that existing static tools for smart contracts have significant false-negatives and false-positives. Further, the results show that our first vulnerability detection approach achieves a significant improvement in the effectiveness of detecting vulnerabilities compared to the prior work.

Mon 10 Oct

Displayed time zone: Eastern Time (US & Canada) change

08:30 - 10:00
Opening, Keynote and Session 1Doctoral Symposium at Ambassador A
Day opening
Welcome from the Chairs
Doctoral Symposium
Laurie Williams North Carolina State University, Silvia Abrahão Universitat Politècnica de València
Secrets of the Tenured Professor
Doctoral Symposium
Tim Menzies North Carolina State University
Doctoral symposium paper
Towards Effective Static Analysis Approaches for Security Vulnerabilities in Smart ContractsVirtual
Doctoral Symposium
Asem Ghaleb University of British Columbia