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Mohammad Fathi

Mohammad Fathi

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId: 56694062400
Faculty: Faculty of Engineering
Address: Department of Electrical Engineering
Phone:

Research

Title
An Intrusion Detection System on Ping of Death Attacks in IoT Networks
Type
JournalPaper
Keywords
Internet of things, cyber security, ping of death attack, intrusion detection system.
Year
2020
Journal Wireless Personal Communications
DOI
Researchers Asrin Abdollahi ، Mohammad Fathi

Abstract

Internet of things (IoT) is almost vulnerable to cyber security attacks due to the limited computational resources of conventional IoT devices. In this paper, ping of death as a cyber security attack is modeled for IoT networks. Attackers increase the length of transmit packets intentionally in order to degrade the network resources. To mitigate ping of death attacks, an intrusion detection system (IDS) is designed to be included in the network gateway to detect attacks and to filter out the over-length packets. The IDS relies on an integer optimization problem minimizing the false alarm probability while maintaining the missed detection probability below a desired level. The problem is solved using a search method. Simulation results demonstrate the impact of the proposed IDS by not allowing the gateway queue lengths to grow unexpectedly and to maintain queues at a normal level. Furthermore, simulation results provide a guideline for the network administrator to configure the IDS parameters such a normal packet length.