Please use this identifier to cite or link to this item:
Author: Μέμος, Βασίλειος
Title: Novel algorithms, models and architectures for enhanced cyber security and energy efficiency in Internet of Things environments
Alternative Titles: Νέοι αλγόριθμοι, μοντέλα και αρχιτεκτονικές για βελτιωμένη κυβερνοασφάλεια και ενεργειακή απόδοση σε περιβάλλοντα διαδικτύου των πραγμάτων
Date Issued: 2022
Department: Πανεπιστήμιο Μακεδονίας. Τμήμα Εφαρμοσμένης Πληροφορικής (ΕΠ)
Supervisor: Ψάννης, Κωνσταντίνος
Abstract: It is a fact that the interconnection of a huge number of devices on the Internet, known as the “Internet of Things” or simply IoT, causes risks in terms of user privacy, device security, and overall network protection from potential cyber attacks. This is due to the limited resources available on such devices to support efficient security mechanisms and advanced encryption algorithms. As a consequence, the low level of security in IoT-based devices motivates attackers to use them in order to create their own network, turning the Internet of Things into a Botnet of Things (BoT) so as to launch a series of Distributed-Denial-of-Service (DDoS) and Man-in-the-Middle (MitM) attacks. In this way, they can steal personal sensitive information and cause network instability, setting out of order a large number of devices. Therefore, the transition from IPv4 to IPv6 poses big challenges that should be carefully addressed. In this Doctoral Thesis, novel secure algorithms, models, and architectures are proposed to ensure cyber security and privacy in IoT. In addition, advanced routing algorithms and energy-efficient (EE) data collection mechanisms are proposed to improve the network lifetime and packet delivery ratio in Wireless Sensor Networks (WSN) and IoT. The role of Unmanned Aerial Vehicles (UAV) as both data collectors and energy transmitters for a WSN is also explored, while new mechanisms can be used in parallel in order to harvest energy the environment to power WSN nodes more efficiently. Big Data Analytics (BDA) and Artificial Intelligence (AI) methods can also be used on a cloud server thanks to Cloud Computing (CC) solutions to improve both energy efficiency and cyber security in current and future IoT environments.
Keywords: Botnet of Things
Cyber Security
Energy Efficiency
Internet of Things
Unmanned Aerial Vehicles
Wireless Sensor Networks
Information: Διατριβή (Διδακτορική)--Πανεπιστήμιο Μακεδονίας, Θεσσαλονίκη, 2022.
Rights: Αναφορά Δημιουργού-Μη Εμπορική Χρήση 4.0 Διεθνές
Appears in Collections:Τμήμα Εφαρμοσμένης Πληροφορικής (Δ)

Files in This Item:
File Description SizeFormat 
MemosVasileiosPhD2022.pdfΔιδακτορική Διατριβή Μέμος Βασίλειος3.65 MBAdobe PDFView/Open

This item is licensed under a Creative Commons License Creative Commons