Technology keeps advancing towards a future where everything is connected together. The Internet of Things (IoT) goal is to make every device accessible from the Internet. Even the most common electrical appliances, such as ovens and light bulbs, will have their own IP address, and will be reachable
Raspberry Pi Based Intrusion Detection System for Internet of Things
Technology keeps advancing towards a future where everything is connected together. The Internet of Things (IoT) goal is to make every device accessible from the Internet. Even the most common electrical appliances, such as ovens and light bulbs, will have their own IP address, and will be reachable remotely. While this enhanced connectivity will definitely improve our quality of life, it also raises serious security, privacy and trustworthiness questions; the resource constrained nature of IoT entities makes traditional security techniques impractical.
In this project, intrusion detection architecture for the IoT devices is proposed. This project analyses the feasibility of employing a commodity device as the core component of the architecture. In particular, the performance of the Raspberry Pi will be under test, one of the most used commodity single-board computers, while running Snort, a widely known and open source Intrusion Detection System (IDS). This project validates that the proposed architecture based on resource constrained devices, such as the Raspberry Pi, can effectively serve as IDS in a distributed system such as IoT.
Raspberry Pi Based Intrusion Detection System, a novel IDS architecture for the IoT. At the core of this proposal stands a Raspberry Pi equipped with Snort, a full-fledged IDS. In this project it is validated that proposed architecture, based on a commodity device such as the Raspberry Pi, is suitable to perform intrusion detection in an IoT environment. The Raspberry Pi acting as a monitoring node to analyze different types of network traffic.
The Internet of Things (IoT) goal is to make every device accessible from the Internet. Even the most common electrical appliances, such as ovens and light bulbs, will have their own IP address, and will be reachable remotely. While this enhanced connectivity will definitely improve our quality of life, it also raises serious security, privacy and trustworthiness questions; the resource constrained nature of IoT entities makes traditional security techniques impractical.
The outcomes of the project are to develop an efficient intrusion detection system for Internet of Things which can mitigate the risk of privacy issues of IoT devices.
Raspberry Pi Based SNORT configured Intrusion Detection System (IDS) node with IoT Devices.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Raspberry Pi Module | Equipment | 5 | 5600 | 28000 |
| Arduino Yun | Equipment | 1 | 6500 | 6500 |
| Arduino Ethernet Shield | Equipment | 1 | 1200 | 1200 |
| Raspberry Pi Casings | Equipment | 5 | 600 | 3000 |
| Raspberry Pi Adoptors | Equipment | 5 | 500 | 2500 |
| Raspberry Pi compatible Capacitive Touch LCD Screen | Equipment | 1 | 7000 | 7000 |
| OverHead Expenditure | Miscellaneous | 1 | 6000 | 6000 |
| Total in (Rs) | 54200 |
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