In this thesis work it has been analysed the state of the art of the cybersecurity of IoT devices (Internet of Things) to then derive the main trends. Firstly, it has been analysed a sample of 37 cyberattacks, to study the main threats targeting the connected-devices. Furthermore, it has been analysed a second sample of 97 companies (start-ups, SMEs, Big Players) both to the technic side and the fundings side. Starting from this data, but also with some white papers and academic papers, it has been derived some trends on how is evolving the IoT Cybersecurity market. In conclusion it’s has been pointed out that an integrated solution (that implement also different techniques / technologies like Artificial Intelligence, Machine Learning, Deep Learning and Blockchain) can be really valuable.
In questa tesi viene analizzato lo stato attuale della cybersecurity di oggetti IoT (Internet of Things). Viene analizzato prima un campione di 37 cyberattacchi, per studiare le principali minacce informatiche. Viene analizzato poi un secondo campione di 97 soluzioni di altrettante aziende (startup, PMI, e Grandi Player) sia dal punto di vista tecnico che da quello dei finanziamenti. Partendo da tali dati, con l’aiuto di white-paper e paper accademici, vengono derivati trends per quanto riguarda il mercato della Cybersecurity applicata all’IoT. Per concludere viene sottolineato come le soluzioni integrate, ovvero quelle che implementano al loro interno diverse tecniche / tecnologie, quali: Artificial Intelligence, Machine Learning, Deep Learning e Blockchain, possano essere di notevole valore.
The integration between Internet of Things and cybersecurity : state of the art and main trends
ZOPPE', MICHELE
2017/2018
Abstract
In this thesis work it has been analysed the state of the art of the cybersecurity of IoT devices (Internet of Things) to then derive the main trends. Firstly, it has been analysed a sample of 37 cyberattacks, to study the main threats targeting the connected-devices. Furthermore, it has been analysed a second sample of 97 companies (start-ups, SMEs, Big Players) both to the technic side and the fundings side. Starting from this data, but also with some white papers and academic papers, it has been derived some trends on how is evolving the IoT Cybersecurity market. In conclusion it’s has been pointed out that an integrated solution (that implement also different techniques / technologies like Artificial Intelligence, Machine Learning, Deep Learning and Blockchain) can be really valuable.File | Dimensione | Formato | |
---|---|---|---|
2018_10_Zoppe.pdf
non accessibile
Descrizione: Testo della tesi
Dimensione
4.34 MB
Formato
Adobe PDF
|
4.34 MB | Adobe PDF | Visualizza/Apri |
I documenti in POLITesi sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/10589/142445