Abstract:
The Internet of Things (IoT) is a new technology that connects and exchanges data
with other devices and systems over the internet or other communication networks us-
ing physical objects that are integrated with sensors, computing power, software, and
other technology. The network nodes in a decentralised infrastructure are typically
mobile and have limited resources, such as low memory, low processing power and
inadequate battery backup. As a result, they are vulnerable to a variety of Denial-
of-Service (DoS) attacks, of which SYN flooding, Route Request (RREQ) flooding
and HELLO flooding are examples. It is crucial to identify these attacks to ensure
that the network can survive an attack. However, most of the works that are now
available employ fixed threshold algorithms which led to large false-positive rates.
The majority of attacks vary seasonally and are challenging to detect with current
techniques. This project suggests a technique for detecting flooding attacks that also
consider network traffic seasonal changes.
