Securing Communication in IoT Ecosystem Using Cryptographic Algorithms

Singh, Tanya; Jain, Anshul

doi:10.35940/ijeat.a1851.109119

Cited by 3 publications

(1 citation statement)

References 32 publications

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“…Using cryptography has its side effects even if it is lightweight; most trusted cryptographic algorithms are CPU intensive, requiring a massive battery for its processing. Jain and Singh (2019) provide a detailed comparison of all cryptographic algorithms used to secure the IoT ecosystem.…”

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confidence: 99%

Implementing Security in IoT Ecosystem Using 5G Network Slicing and Pattern Matched Intrusion Detection System: A Simulation Study

Jain¹,

Singh²,

Sharma

et al. 2021

IJIKM

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Aim/Purpose: 5G and IoT are two path-breaking technologies, and they are like wall and climbers, where IoT as a climber is growing tremendously, taking the support of 5G as a wall. The main challenge that emerges here is to secure the ecosystem created by the collaboration of 5G and IoT, which consists of a network, users, endpoints, devices, and data. Other than underlying and hereditary security issues, they bring many Zero-day vulnerabilities, which always pose a risk. This paper proposes a security solution using network slicing, where each slice serves customers with different problems. Background: 5G and IoT are a combination of technology that will enhance the user experience and add many security issues to existing ones like DDoS, DoS. This paper aims to solve some of these problems by using network slicing and implementing an Intrusion Detection System to identify and isolate the compromised resources. Methodology: This paper proposes a 5G-IoT architecture using network slicing. Research here is an advancement to our previous implementation, a Python-based software divided into five different modules. This paper’s amplification includes induction of security using pattern matching intrusion detection methods and conducting tests in five different scenarios, with 1000 up to 5000 devices in different security modes. This enhancement in security helps differentiate and isolate attacks on IoT endpoints, base stations, and slices. Contribution: Network slicing is a known security technique; we have used it as a platform and developed a solution to host IoT devices with peculiar requirements and enhance their security by identifying intruders. This paper gives a different solution for implementing security while using slicing technology. Findings: The study entails and simulates how the IoT ecosystem can be variedly deployed on 5G networks using network slicing for different types of IoT devices and users. Simulation done in this research proves that the suggested architecture can be successfully implemented on IoT users with peculiar requirements in a network slicing environment. Recommendations for Practitioners: Practitioners can implement this solution in any live or production IoT environment to enhance security. This solution helps them get a cost-effective method for deploying IoT devices on a 5G network, which would otherwise have been an expensive technology to implement. Recommendation for Researchers: Researchers can enhance the simulations by amplifying the different types of IoT devices on varied hardware. They can even perform the simulation on a real network to unearth the actual impact. Impact on Society: This research provides an affordable and modest solution for securing the IoT ecosystem on a 5G network using network slicing technology, which will eventually benefit society as an end-user. This research can be of great assistance to all those working towards implementing security in IoT ecosystems. Future Research: All the configuration and slicing resources allocation done in this research was performed manually; it can be automated to improve accuracy and results. Our future direction will include machine learning techniques to make this application and intrusion detection more intelligent and advanced. This simulation can be combined and performed with smart network devices to obtain more varied results. A proof-of-concept system can be implemented on a real 5G network to amplify the concept further.

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confidence: 99%

Implementing Security in IoT Ecosystem Using 5G Network Slicing and Pattern Matched Intrusion Detection System: A Simulation Study

Jain¹,

Singh²,

Sharma

et al. 2021

IJIKM

Self Cite

View full text Add to dashboard Cite

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Designing a Secure Integration of IoT Ecosystem and Intrusion Detection Using Machine Learning Approaches

Jain

Singh

Sharma

2022

IOT With Smart Systems

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Computer Dynamic Simulation Design of Ecological Packaging of New Energy Products Based on Internet of Things Technology

Zhang¹

2022

International Transactions on Electrical Energy Systems

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The application of Internet of Things (IoT) technology has realized the transformation of people’s production and lifestyle, and also promoted the transformation of education and teaching mode. At present, the application of informatization in the field of product packaging is increasing. Advanced methods and techniques for visual presentation using virtual reality technology. This study has aimed to realize the process optimization of new energy product packaging design in the context of the Internet of Things to promote the ecological development of the product packaging industry. This study has proposed to use the IoT technology and virtual reality technology to know the integration of new energy product packaging and virtual simulation experiments, which is helpful to analyze and solve the objective system imbalance and ecological imbalance in the product packaging system. Drawing on the principles and laws of the IoT and virtual reality technology, the dynamic simulation process of ecological packaging is constructed and optimized to realize the “ecologicalization” of the packaging field. In a study of RFID tag algorithms in the context of IoT, the least data is transmitted at m = 4, which saves an average of 48 bits per identified tag compared to m = 6. Due to the number of queries and the amount of data transferred, the MICT algorithm chooses m = 4 when identifying 96-bit tags. In terms of recognition efficiency, the MICT algorithm achieves about 74%. Therefore, the dynamic simulation design of product packaging is very important at present.

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Securing Communication in IoT Ecosystem Using Cryptographic Algorithms

Cited by 3 publications

References 32 publications

Implementing Security in IoT Ecosystem Using 5G Network Slicing and Pattern Matched Intrusion Detection System: A Simulation Study

Implementing Security in IoT Ecosystem Using 5G Network Slicing and Pattern Matched Intrusion Detection System: A Simulation Study

Designing a Secure Integration of IoT Ecosystem and Intrusion Detection Using Machine Learning Approaches

Computer Dynamic Simulation Design of Ecological Packaging of New Energy Products Based on Internet of Things Technology

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