Abstract
The Internet of Things (IoT) has established itself as a multibillion-dollar business in recent years. Despite its obvious advantages, the widespread nature of IoT renders it insecure and a potential target for cyber-attacks. Furthermore, these devices broad connectivity and dynamic heterogeneous nature can open up a new surface of attack for refined malware attacks. There is a critical need to protect the IoT environment from such attacks and malware. Therefore this research aims to propose an intelligent, SDN-enabled hybrid framework leveraging Cuda Long Short Term Memory Gated Recurrent Unit (cuLSTMGRU) for efficient threat detection in IoT environments. To properly assess the proposed system, a state-of-the-art IoT-based dataset and standard evaluation metrics were used. The proposed model achieved 99.23 % detection accuracy with a low false-positive rate. For further verification, we compare the proposed model results with two of our constructed models (i.e., cuBLSTM and cuGRUDNN) and current benchmark algorithms. The proposed model outclassed the other models regarding speed efficiency, detection accuracy, precision, and other standard evaluation metrics. Finally, the proposed work employed 10-fold cross-validation to ensure that the results were completely unbiased.
Highlights
With the development in information technology (IT), the Internet of things (IoT) has significantly evolved over the last two decades
In the last several years, there has been a rapid growth in Internet of Things (IoT) devices along with the data shared by these devices
As the IoT devices are heterogeneous in nature and follow different protocols, various security measures need to be followed for these devices due to their seamless nature
Summary
With the development in information technology (IT), the Internet of things (IoT) has significantly evolved over the last two decades. IoT expands the existence of the Internet by connecting smart devices. The increase of user demands and the large data throughput produced by IoT devices have grown to billions of gigabytes. The IoT connects millions of smart devices resulting in smart environments, i.e., smart factories, ecosystems, smart cities, and intelligent health systems [1]. The high user demand and the increasing connectivity of these devices result in raising multiple security concerns. Many threats and attacks are focusing on the networks of IoT [2]. IoT comprises heterogeneous and homogenous networks along with networking devices using different protocols. As the IoT devices are heterogeneous in nature and follow different protocols, various security measures need to be followed for these devices due to their seamless nature. The security of the IoT environment remains a major challenge and presents a serious need for security
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
