Securing Internet of Things in 5G Using Audio Steganography

Singh, Tanya; Verma, Seema; Parashar, Vidushi

doi:10.1007/978-981-10-3433-6_44

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…5G is a cloud and software-based network; therefore, all the underlying security issues of a standard network and its software get inherited in it, and the same is discussed in Singh, Verma, S., and Parashar (2016). These security issues can exploit its resources in different ways, many of which can be Zero-day vulnerabilities.…”

Section: Proposed Architecture and Design Methodology Of Iot Ecosystem In 5g With Network Slicing Proposed Architecturementioning

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

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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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Section: Proposed Architecture and Design Methodology Of Iot Ecosystem In 5g With Network Slicing Proposed Architecturementioning

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

show abstract

“…Combining image and sound, a video file such as MPEG, AVI, or MP4 carries the capability of hiding a massive amount of sensitive information. A computed tomography (CT) scan, which is applied for image steganography, can likewise be implemented for video steganography by embedding sensitive information in each image of the video [11,30,31]. Other commonly applied techniques for video steganography include the Least Significant Bit (LSB); Tri-way Pixel-Value Differencing (TPVD), which embeds the secret bits in the Inline frame (Iframe); and Bit Plane Complexity Segmentation (BPCS), which is also utilized for embedding secret bits within the MPEG video.…”

Section: Video Steganographymentioning

confidence: 99%

“…In various modern steganography methods, LSBs are changed with error diffusion. It is additionally conceivable to conceal secret messages using inaudible frequencies [30].…”

Section: Audio Steganographymentioning

confidence: 99%

A Comparative Analysis of Arabic Text Steganography

et al. 2021

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Protecting sensitive information transmitted via public channels is a significant issue faced by governments, militaries, organizations, and individuals. Steganography protects the secret information by concealing it in a transferred object such as video, audio, image, text, network, or DNA. As text uses low bandwidth, it is commonly used by Internet users in their daily activities, resulting a vast amount of text messages sent daily as social media posts and documents. Accordingly, text is the ideal object to be used in steganography, since hiding a secret message in a text makes it difficult for the attacker to detect the hidden message among the massive text content on the Internet. Language’s characteristics are utilized in text steganography. Despite the richness of the Arabic language in linguistic characteristics, only a few studies have been conducted in Arabic text steganography. To draw further attention to Arabic text steganography prospects, this paper reviews the classifications of these methods from its inception. For analysis, this paper presents a comprehensive study based on the key evaluation criteria (i.e., capacity, invisibility, robustness, and security). It opens new areas for further research based on the trends in this field.

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Post-Quantum Cryptographic Schemes for Security Enhancement in 5G and B5G (Beyond 5G) Cellular Networks

Bhatt,

Bhushan,

Srivastava

et al. 2023

5G and Beyond

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Abstract5G is the fifth generation of broadband cellular network and beyond 5G can be the 6G, which will be the sixth generation of broadband cellular network. Even though studies about 5G are still evolving, 6G has become a hot topic for cellular researchers these days. The expansion in the field of 5G and 6G is still in infancy stage as many problems still need to be solved. Out of these, security of data transmission is a premier concern. Therefore, cybersecurity is becoming increasingly important for these cellular networks. This paper is focused upon providing the in-depth overview of 5G and B5G networks. The paper aims to evaluate the insights of the security services of 6G networks and outlines various data security techniques used by 5G networks. The paper also provides introduction to quantum computing for cryptography and evaluates various post-quantum cryptography techniques. Finally, some novel research trends and directions in correlation of security of 5G and beyond 5G networks are listed to guide further research in the area.

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Securing Internet of Things in 5G Using Audio Steganography

Cited by 3 publications

References 5 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

A Comparative Analysis of Arabic Text Steganography

Post-Quantum Cryptographic Schemes for Security Enhancement in 5G and B5G (Beyond 5G) Cellular Networks

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