HORIZON-CL3-2024-FCT-01-01

PAPİLON SAVUNMA (PAPILON) is expert in information system infrastructures (embedded systems, IoT/IIoT systems and computer networks) studies which were carried out in real and simulation environments. In our study on Computer Networks in 2022, algorithms such as KNN-Minkowski, KNN-Euclidean, MultinominalNB and LSTM were used together with the Honey Pie system.was used and a success rate of 98.37% was achieved. In our study on IoT / IIoT security in 2022, Hello flood K-means algorithm was used against the attack and the attacker devices were detected in this way. In our study on detection against password attacks in 2021 on Naive Bayes, Generalized Linear Model, Logistic Regression, Fast Large Margin, Deep Learning, Decision Tree algorithms have been used and a 99% success rate has been achieved with the Deep Learning algorithm. On continuous monitoring in cybersecurity and fake data injection successful studies have been carried out. The scientific gains obtained in this way can be used in this project. Ensuring the cyber security of any data through the targeted Expert System by focusing on different data systems can be carried out due to our previous studies. So PAPILON can use it’s domain expertise on guaranteeing real-time threat detection and mitigation across heterogenous devices in any possible project consortium upon the call HORIZON-CL3-2024-FCT-01-01.