OTS Scheme Based Secure Architecture for Energy-Efficient IoT in Edge Infrastructure

For the past few decades,the Internet of Things(IoT)has been one of the main pillars wielding significant impact on various advanced industrial applications,including smart energy,smart manufacturing,and others.These applications are related to industrial plants,automation,and e-healthcare fields.IoT applications have several issues related to developing,planning,and managing the system.Therefore,IoT is transforming into G-IoT(Green Internet of Things),which realizes energy efficiency.It provides high power efficiency,enhances communication and networking.Nonetheless,this paradigm did not resolve all smart applications’challenges in edge infrastructure,such as communication bandwidth,centralization,security,and privacy.In this paper,we propose the OTS Scheme based Secure Architecture for Energy-Efficient IoT in Edge Infrastructure to resolve these challenges.An OTS-based Blockchain-enabled distributed network is used at the fog layer for security and privacy.We evaluated our proposed architecture’s performance quantitatively as well as security and privacy.We conducted a comparative analysis with existing studies with different measures,including computing cost time and communication cost.As a result of the evaluation,our proposed architecture showed better performance.

M-IDM: A Multi-Classication Based Intrusion Detection Model in Healthcare IoT

In recent years,the application of a smart city in the healthcare sector via loT systems has continued to grow exponentially and various advanced network intrusions have emerged since these loT devices are being connected.Previous studies focused on security threat detection and blocking technologies that rely on testbed data obtained from a single medical IoT device or simulation using a well-known dataset,such as the NSL-KDD dataset.However,such approaches do not reect the features that exist in real medical scenarios,leading to failure in potential threat detection.To address this problem,we proposed a novel intrusion classication architecture known as a Multi-class Classication based Intrusion Detection Model(M-IDM),which typically relies on data collected by real devices and the use of convolutional neural networks(i.e.,it exhibits better performance compared with conventional machine learning algorithms,such as naïve Bayes,support vector machine(SVM)).Unlike existing studies,the proposed architecture employs the actual healthcare IoT environment of National Cancer Center in South Korea and actual network data from real medical devices,such as a patient’s monitors(i.e.,electrocardiogram and thermometers).The proposed architecture classies the data into multiple classes:Critical,informal,major,and minor,for intrusion detection.Further,we experimentally evaluated and compared its performance with those of other conventional machine learning algorithms,including naïve Bayes,SVM,and logistic regression,using neural networks.

OTP-Based Software-Defined Cloud Architecture for Secure Dynamic Routing

In the current era,anyone can freely access the Internet thanks to the development of information and communication technology.The cloud is attracting attention due to its ability to meet continuous user demands for resources.Additionally,Cloud is effective for systems with large data flow such as the Internet of Things(IoT)systems and Smart Cities.Nonetheless,the use of traditional networking technology in the cloud causes network traffic overload and network security problems.Therefore,the cloud requires efficient networking technology to solve the existing challenges.In this paper,we propose one-time password-based software-defined cloud architecture for secure dynamic routing to mitigating the above-mention issues.The proposed cloud architecture provides a secure data path through dynamic routing using One-Time Internet Protocol(OTIP)algorithm between each layer.On the network side,we use software-defined technology to provide efficient network management and data security.We introduce a software-defined cloud architecture that applies OTIP algorithms for secure dynamic routing.We conduct a comparative analysis between general IP communication and proposed OTIP communication architecture.It evaluates the performance of OTIP algorithms.Finally,we examine the proposed software-defined cloud architecture,including how to apply OTIP in secure dynamic routing according to the results of the comparative analysis.