Welcome to SecureNetLab, the premier research lab at Southeast Missouri State University dedicated to advancing the frontiers of cybersecurity and distributed systems. Our lab brings together a diverse team of researchers, faculty members, and students passionate about addressing the complex challenges facing digital security and network technologies in today's interconnected world.
At SecureNetLab, we are committed to conducting cutting-edge research that pushes the boundaries of knowledge in cybersecurity and distributed systems. Our research spans a wide range of topics, including but not limited to:
Cybersecurity
From threat detection and prevention to secure software development and cryptography, we strive to develop innovative solutions to protect digital assets and infrastructure from cyber threats.
Distributed Systems
Our research explores the design, analysis, and optimization of distributed systems, including cloud computing, peer-to-peer networks, and decentralized applications, to enhance reliability, scalability, and efficiency.
Blockchain Technology
We investigate the potential of blockchain technology beyond cryptocurrencies, exploring its applications in secure data sharing, decentralized finance, supply chain management, and more.
Machine Learning
We leverage machine learning techniques to enhance cybersecurity defenses, detect anomalies, and analyze large-scale data sets for actionable insights in various domains.
Healthcare
Our research focuses on applying cybersecurity, distributed systems, and machine learning principles to improve healthcare outcomes, including secure medical data sharing, predictive analytics for disease diagnosis and treatment, and personalized healthcare delivery.
Through collaborative research projects, publications, and industry partnerships, SecureNetLab aims to make meaningful contributions to academia, industry, and society. Our lab provides a supportive and dynamic environment for graduate and undergraduate students to engage in hands-on research experiences, collaborate with peers and faculty mentors, and develop valuable skills for their future careers in cybersecurity, distributed systems, machine learning, and healthcare.
Join us in shaping the future of cybersecurity, distributed systems, machine learning, and healthcare. Explore our ongoing research projects, meet our team members, and learn how you can get involved. Together, we can make a positive impact on the security, reliability, and effectiveness of digital systems, networks, and healthcare services worldwide.
Current Students
Anjila Neupane - MS - Efficient and Secured Data Lookup Protocol using Public-Key and Digital Signature Authentication in RC-Based Hierarchical Structured P2P Network.
Sai Kiran Devarasetti - MS - Establishing Trust using Zero Knowledge Succinct Proof in Peer-to-peer Data Transfer
Hanumanthu Vinaganti - MS
Nikhitha Chowdary Tannedi - MS
Pooja Nannuri - MS
Mehmuna Haque - Undergrad
Samana Dahal - Undergrad