Cybersecurity & Networking
Ubiquitous interconnectivity is the source of great knowledge and risk. Our research into networking and cybersecurity addresses both extremes. In networking, we explore novel communication service architectures to ensure correctness and scalability. To protect this infrastructure, we focus on topics including cryptocurrency, production isolation for risk mitigation, contextual authentication and authorization.
Research in cybersecurity is driven by our fundamental need to protect systems and information from malicious actors and events. It focuses on a combination of network security, data analytics, and policies and procedures for dealing with potential threats.
Baylor Computer Science participates in a variety of competition-based learning activities. The goal of competitive learning is to foster teamwork in venues that apply real-world problem solving in structured competition environments.
Baylor CyberSecurity Team
Baylor participates in the Collegiate Cyber Defense Competition (CCDC), placing 4th in the nation in 2018 and 3rd in the Southwest Region in 2021. The CCDC allows students the opportunity to sharpen their skills in technical and non-technical areas related to cybersecurity in a competitive forum. The goal of competition-based education in cybersecurity is to closely replicate real world environments associated with offensive and defensive cyber actions. Read more about the National Collegiate Cyber Defense Competition. The Baylor team consistently ranks in the top 25 nationally.
Faculty Involved
Expertise: Machine learning, Unsupervised learning, Efficient learning, Eye disease symptom detection Dr. Pablo Rivas
Expertise: Hardware assisted software security analysis, Malware analysis, High performance computing security
Expertise: Responsible AI, Standards for AI ethics, Deep learning, Machine learning, AI , Fuzzy systems, Cybersecurity