The aims of the Network and Information Security Laboratory are:

• To produce solutions to up-to-date network and information security problems and to apply them
• To train undergraduate and graduate students in the field of network and information security
• To meet the needs of information and resource of undergraduate graduation projects and graduate thesis studies in the field of cyber security
• Carrying out research projects in the field of cyber security

• Information Security Management and Applications
• Security Studies in Cloud Computing
• Security Applications in Social Networks
• Security Applications in IoT
• Digital Signature Research and Applications
• Security Applications in Wired and Wireless Networks
• Biometric Security Applications
• Malware and Malicious Code Detection Applications
• Intrusion Detection Applications
• Vulnerability Scanning Applications
• Cryptology-based Security Applications

• 2 Smart Card Readers
• 7 PCs
• 3 Workstations

Projects:

• BAP Project (no: 2007-A-19): Designing Information Security Management System Which is Concordant to the International Standards and Application at GIT as a Case Study
• TUBITAK ARDEB1001 project (no: 108E132 ): Hi-AuthMe: Designing An Electronic Signature with Hierarchical Authorization Model and Implementation of The Model on Smart Card Systems
• TUBITAK 1003 project (no: 116E539): Developing High Performance and Real time Method for Malware Detection and Implementation for Different Platforms
• BAP Project (no: 2022-A-113-03): Developing Multipurpose Malware Detection and Prevention System  

Academic Dissertations:

• Aktaş F.Özden, "Choosing the most proper and objective method in information security risk management"
• Ergüner E., "Smart card based remote authentication system design"
• Kırmızıgül S., "Intrusion detection with clustering and K nearest neighbour method"
• Bilgin B., "Design of a remote authentication system using smart cards"
• Kakışım A., "Community detection in suspect networks"
• Çarkacı N., "Real time metamorphic malware detection system"
• Kakışım A., "Unsupervised binary feature construction method for networked data"
• Nar M., "Software behavior modeling and detection by using hybrid features"
•  Ahi Ş., "Analysis and detection of advanced social engineering attacks" 
• Gülmez S., "Graph-based malware detection using opcode analysis"