Efficient adaptive framework for securing the Internet of Things devices

Umer Farooq,Najam Ul Hasan,Naeem Shehzad,Imran Baig

doi:10.1186/s13638-019-1531-0

Umer Farooq, Najam Ul Hasan + Show 2 more

Open Access

https://doi.org/10.1186/s13638-019-1531-0

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Abstract

The research on the Internet of Things (IoT) has made huge strides forward in the past couple of years. IoT has its applications in almost every walk of life, and it is being regarded as the next big thing that can change the way humans perceive about their daily life. Smart IoT devices of heterogeneous nature make an essential part of modern day IoT-based systems. The security of these devices is of paramount importance as they handle an enormous amount of critical data and its breach can lead to potentially life-threatening situations. To secure the IoT devices of heterogeneous nature, we formulated a weighted optimization problem in this work. The objective function of this problem is to secure the IoT devices while finding the best trade-off between their resource usage and throughput. To achieve the objective, we consider a pool of five different implementations of Advanced Encryption Standard (AES) cryptographic schemes that offer varied resources and throughput numbers. These implementation schemes are mapped to IoT devices of heterogeneous nature. The mapping is performed through a novel adaptive framework that can consider different weights for resources and throughput to eventually find the best trade-off between the resources and throughput of an IoT-based system. This framework considers the resource and throughput requirements of different IoT devices and uses the Hungarian algorithm to adaptively map different AES implementations on them. Extensive experimentation is performed where the best trade-off is found through varying resource and throughput weight combinations. The comparison of the proposed framework with random and greedy approaches is also performed. Comparison results show that the proposed framework adaptively secures the IoT-based system while providing better resource usage and throughput results. The proposed framework provides, on average, 11% and 17% better throughput and 3% and 13% better resource usage results as compared to random and greedy approach, respectively.

Highlights

The Internet of Things (IoT) is a paradigm that has seen enormous popularity in last few years
5.2 Results and analysis In this work, we consider a system model where our objective is to map the Advanced Encryption Standard (AES) cryptographic scheme to heterogeneous IoT devices in such a way that the average throughput of the system is maximized while minimizing the number of resources used
It can be seen from this figure that the average throughput increases as the number of users (i.e., IoT devices) increase and it stabilizes after the number of devices surpass a certain number

Summary

Introduction

The Internet of Things (IoT) is a paradigm that has seen enormous popularity in last few years. Contrary to the aforecited work, in this work, we propose an adaptive framework that considers five different AES implementation schemes [22] for IoT devices. Efficient resource and area throughput based encryption scheme selection for heterogeneous IoT devices

Results

Conclusion