Malware Detection Based on Code Visualization and Two-Level Classification

Malware creators generate new malicious software samples by making minor changes in previously generated code, in order to reuse malicious code, as well as to go unnoticed from signature-based antivirus software. As a result, various families of variations of the same initial code exist today. Visualization of compiled executables for malware analysis has been proposed several years ago. Visualization can greatly assist malware classification and requires neither disassembly nor code execution. Moreover, new variations of known malware families are instantly detected, in contrast to traditional signature-based antivirus software. This paper addresses the problem of identifying variations of existing malware visualized as images. A new malware detection system based on a two-level Artificial Neural Network (ANN) is proposed. The classification is based on file and image features. The proposed system is tested on the ‘Malimg’ dataset consisting of the visual representation of well-known malware families. From this set some important image features are extracted. Based on these features, the ANN is trained. Then, this ANN is used to detect and classify other samples of the dataset. Malware families creating a confusion are classified by a second level of ANNs. The proposed two-level ANN method excels in simplicity, accuracy, and speed; it is easy to implement and fast to run, thus it can be applied to antivirus software, smart firewalls, web applications, etc

Non - linear estimation algorithms

Ο σκοπός της διατριβής αυτής είναι η μελέτη των δυνατοτήτων βελτίωσης της ακρίβειας υπολογισμού του χρόνου ζωής των κατασκευών, μέσω: α) εξελιγμένων μη-γραμμικών αλγορίθμων επεξεργασίας δεδομένων, β) κατάλληλα προσαρμοσμένων σε αυτούς μοντέλων του προβλήματος, και, γ) της υλοποίησής τους σε σύγχρονα υπολογιστικά συστήματα. Πιο συγκεκριμένα η παρούσα διατριβή, βασιζόμενη σε σύγχρονα υπολογιστικά συστήματα και εργαλεία, μελετά την εφαρμογή προηγμένων αλγορίθμων επεξεργασίας δεδομένων και προτείνει νέα ή/και τροποποιημένα μοντέλα του προβλήματος, δημιουργώντας έτσι μια ακριβέστερη μέθοδο εκτίμησης του χρόνου ζωής των εξαρτημάτων και εφαρμόζοντάς την στην περίπτωση ενός πυρηνικού αντιδραστήρα. […

A Novel Intrusion Detection System Based on Neural Networks

This paper proposes a novel intrusion detection system (IDS) based on Artificial Neural Networks (ANNs). The system is still under development. Two types of attacks have been tested so far: DDoS and PortScan. The experimental results obtained by analyzing the proposed IDS using the CICIDS2017 dataset show satisfactory performance and superiority in terms of accuracy, detection rate, false alarm rate and time overhead, compared to state of the art existing schemes

WENEMOR: Wind tunnel tests for the evaluation of the installation effects of noise emissions of an open rotor advanced regional aircraft

This paper presents the key objectives from an European Union funded collaborative project investigating the noise installation effects for novel regional advanced aircraft concepts using Open Rotor (OR) propulsion systems. The consortium for the project:WENEMOR, will address the topic by carrying out aero-acoustic measurements in the open test section of a large low speed wind tunnel using a complete reduced scale modular model of different configurations of an aircraft with installed counter rotating open rotor systems operating in both pusher and tractor modes. The principal goal of the project is to assess experimentally the noise shielding effectiveness of classic airframe components for different Open Rotor aircraft configurations. A complete 1/7th scale aircraft has been designed and built for installation in the Pininfarina Aerodynamic and Aeroacoustic Research Center Wind Tunnel. The model has two Open Rotors with a contra-rotating fan at the same scale as the airframe. Various positions of the ORs with respect to the airframe will be tested with noise measurements being performed both in the near and the far field. The test campaign will provide, for the first time in Europe, a comprehensive database on noise installation effects for novel regional advanced aircraft concepts using OR propulsion systems. Two accompanying conference papers present preliminary result