Using a Cluster for Securing Embedded Systems
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 9
Abstract
In today's increasingly interconnected world, the deployment of an Intrusion Detection System (IDS) is becoming very important for securing embedded systems from viruses, worms, attacks, etc. But IDSs face many challenges like computational resources and ubiquitous threats. Many of these challenges can be resolved by running the IDS in a cluster to allow tasks to be parallelly executed. In this paper, we propose to secure embedded systems by using a cluster of embedded cards that can run multiple instances of an IDS in a parallel way. This proposition is now possible with the availability of new low-power single-board computers (Raspberry Pi, BeagleBoard, Cubieboard, Galileo, etc.). To test the feasibility of our proposed architecture, we run two instances of the Bro IDS on two Raspberry Pi. The results show that we can effectively run multiple instances of an IDS in a parallel way on a cluster of new low-power single-board computers to secure embedded systems.
Authors and Affiliations
Mohamed LMIMOUNI, Khalid BOUKHDIR, Hicham MEDROMI, Siham BENHADOU
Keywords
Related Articles
- EP ID EP149412
- DOI 10.14569/IJACSA.2016.070923
- Views 102
- Downloads 0
A Comparative Study of Forensic Tools for WhatsApp Analysis using NIST Measurements
One of the popularly used features on Android smartphone is WhatsApp. WhatsApp can be misused, such as for criminal purposes. To conduct investigation involving smartphone devices, the investigators need to use forensic...
Combination of Neural Networks and Fuzzy Clustering Algorithm to Evalution Training Simulation-Based Training
With the advancement of computer technology, computer simulation in the field of education are more realistic and more effective. The definition of simulation is to create a virtual environment that accurately and real e...
Effective Performance of Information Retrieval by using Domain Based Crawler
World Wide Web continuously introduces new capabilities and attracts many people[1]. It consists of more than 60 billion pages online. Due to this explosion in size, the information retrieval system or Search Engines are...
Effect of Driver Strength on Crosstalk in Global Interconnects
The Noise estimation and avoidance are becoming critical, in today’s high performance IC design. An accurate yet efficient crosstalk noise model which contains as many driver/interconnect parameters as possible, is neces...
Using Data Mining Techniques to Build a Classification Model for Predicting Employees Performance
Human capital is of a high concern for companies’ management where their most interest is in hiring the highly qualified personnel which are expected to perform highly as well. Recently, there has been a growing in...