Dainius Čeponis

Evaluation of Deep Learning Methods Efficiency for Malicious and Benign System Calls Classification on the AWSCTD

Nikolaj Goranin, Dainius Čeponis, 2019, Secur. Commun. Networks.

Investigation of AWSCTD dataset applicability for malware type classification

Nikolaj Goranin, Dainius Čeponis, N. Goranin, 2018 .

Windows API hooking libraries research / Windows API funkcijų sekų perėmimo bibliotekų tyrimas

Lukas Radvilavicius, Dainius Čeponis, 2011 .

Investigation of Dual-Flow Deep Learning Models LSTM-FCN and GRU-FCN Efficiency against Single-Flow CNN Models for the Host-Based Intrusion and Malware Detection Task on Univariate Times Series Data

Nikolaj Goranin, Dainius Čeponis, N. Goranin, 2020 .

Method for Attack Tree Data Transformation and Import Into IT Risk Analysis Expert Systems

Nikolaj Goranin, Jonathan Salter, Donatas Vitkus, 2020 .

Research of machine and deep learning methods application for host-level intrusion detection and classification

Dainius Čeponis, Dainius Ceponis, Dainius Čeponis, 2021 .