ETD system

Electronic theses and dissertations repository

 

Tesi etd-11182019-124246


Thesis type
Tesi di laurea magistrale
Author
FACCHINI, SIMONE
URN
etd-11182019-124246
Title
Protecting Smart Home Environments by exploiting Multi-Level Distributed Intrusion Detection System
Struttura
INGEGNERIA DELL'INFORMAZIONE
Corso di studi
COMPUTER ENGINEERING
Commissione
relatore Prof. Dini, Gianluca
correlatore Dott. Perazzo, Pericle
correlatore Dott. Saracino, Andrea
Parole chiave
  • Smart Home
  • Machine Learning
  • Intrusion Detection System
  • Distributed Systems
Data inizio appello
09/12/2019;
Consultabilità
secretata d'ufficio
Riassunto analitico
The proliferation of smart devices and the introduction of the Internet of Things (IoT) paradigm have played a significant role in the creation of smart environments. The increased deployment of smart devices has led to an increase of potential security risks: most of the devices have lack of security features, and only one security hole in one device can lead to the compromise of the entire network. This work proposes a novel multi-level approach to design a Distributed Intrusion Detection System for Smart Home environments. The proposed approach aims to detect, in a distributed way, unexpected behaviors of network components by exploiting the collaboration between the different IoT devices.
The problem has been addressed by implementing an architecture based on a distributed hash table (DHT) that allows sharing network and system information between nodes. An Intrusion Detection System, distributed in each node of the network, represents the core component to detect malicious behavior. The proposed Intrusion Detection exploits a binary classifier, based on a machine learning mechanism, which analyzes, in a novel way, the aggregation of features extracted from data coming from kernel, network and DHT level.
File