ResearchCybersecurity
VulnGuard SDN
ONOS and FastAPI prototype for risk-aware network decisions.
ONOSJavaFastAPIMininetOpenFlowscikit-learn
Logs, API output, Mininet tests.
CV
Daniel Ghattas
Computer Science student focused on cybersecurity, machine learning, and secure systems engineering.
Profile
Computer Science student focused on cybersecurity, machine learning, and secure systems engineering. Experienced in building research prototypes involving SDN controllers, vulnerability intelligence, FastAPI services, classical ML models, Android applications, Linux tooling, and cloud-hosted systems.
Technical Skills
Cybersecurity
Vulnerability prioritisationSDN securitySecure software designOWASP awarenessCloud security basics
Machine Learning
scikit-learnTF-IDFLogistic regressionLinear SVM/SGDComplement Naive BayesModel evaluation metrics
Networking
ONOSOpenFlowMininetOpen vSwitchDocker networking
Backend
PythonFastAPIREST APIsJavaTypeScript
Systems
LinuxDockerGitShell scripting
Mobile / Cloud
AndroidWear OSAWS basics
Featured projects
WorkingML
ML Vulnerability Prioritisation
Classical ML pipeline for CVE risk classification.
Pythonscikit-learnTF-IDFpandasCSV datasets
Metrics and dataset notes.
Case study→GitHub pending
CourseworkCloud
Secure Cloud Deployment
AWS-hosted booking system with EC2, RDS, IAM, S3, and monitoring evidence.
AWSEC2RDSIAMS3Monitoring
Screenshots and deployment notes.
Case study→GitHub pending
Education
Birmingham City University / Computer Science / dates pending.
Project experience
Built and documented prototypes across SDN research, ML vulnerability prioritisation, secure backend systems, Android/Wear OS development, Linux automation, and cloud deployment basics.
Tools
Linux, Docker, Git, shell scripting, ONOS, Mininet, Open vSwitch, FastAPI, scikit-learn, Android tooling, AWS basics.