Evolutionary Detection Accuracy of Secret Data in Audio Steganography for Securing 5G-Enabled Internet of Things

Abstract

With the unprecedented growing demand for communication between Internet of Things (IoT) devices, the upcoming 5G and 6G technologies will pave the path to a widespread use of ultra-reliable low-latency applications in such networks. However, with most of the sensitive data being transmitted over wireless links, security, privacy and trust management are emerging as big challenges to handle. IoT applications vary, from self-driving vehicles, drone deliveries, online shopping, IoT smart cities, e-healthcare and robotic assisted surgery, with many applications focused on Voice over IP (VoIP) and require securing data from potential eavesdroppers and attackers. One well-known technique is a hidden exchange of secret data between the devices for which security can be achieved with audio steganography. Audio steganography is an efficient, reliable and low-latency mechanism used for securely communicating sensitive data over wireless links. MPEG-1 Audio Layer 3’s (MP3’s) bit rate falls within the acceptable sound quality required for audio. Its low level of noise distortion does not affect its sound quality, which makes it a good carrier medium for steganography and watermarking. The strength of any embedding technique lies with its undetectability measure. Although there are many detection techniques available for both steganography and watermarking, the detection accuracy of secret data has been proven erroneous. It has yet to be confirmed whether different bit rates or a constant sampling rate for embedding eases detection. The accuracy of detecting hidden information in MP3 files drops with the influence of the compression rate or increases. This drop or increase is caused by either the increase in file track size, the sampling rate or the bit rate. This paper presents an experimental study that evaluates the detection accuracy of the secret data embedded in MP3. Training data were used for the embedding and detection of text messages in MP3 files. Several iterations were evaluated. The experimental results show that the used approach was effective in detecting the embedded data in MP3 files. An accuracy rate of 97.92% was recorded when detecting secret data in MP3 files under 128-kbps compression. This result outperformed the previous research work.

A Wireless Covert Channel Based on Dirty Constellation with Phase Drift

“…We plan to use it in the upcoming European Defense Agency (EDA) project, codenamed SOFTANET, for the hidden data layer in the wireless part of a software-defined network (SDN) [35][36][37]. It is in line with the trend, visible in the literature, of using steganography in 5G systems and networks, e.g., [21,38].…”

Neurocomputing for internet of things: Object recognition and detection strategy

“…In [27], the authors presented the experimental study using the ANN methods to overcome the analytic challenge in 5G-based IoT networks. The sensitive data transmission in these networks always needs attention, especially data of ultra-reliable low-latency applications.…”

Message Security Enhanced By Bit Cycling Encryption and Bi-LSB Technique

“…Message Integrity was used to develop a mechanism for audio steganography. According to Atoum, Ibrahim, Sulong, and Zamani (2013) 5) , the Steganography technique's designer employed a simple paradigm for extracting and embedding the hidden information. Some of them used the same key to extract hidden messages as well as embed messages in the host signal.…”

“…Alsabhany (2020) 26) proposed an efficient technique to improve the capacity of hiding by 70%. MohammedJ(2020) 5) )proposed a model for hiding data in mp3 files. Hussein(2019) 32) The proposed techniques are more suitable and cable for hiding text and measured SNR and PSNR values.…”

“…Confidentiality, integrity, and availability are three components of information security. This could be accomplished using information concealment techniques such as cryptography and steganography (Lenti, 2000) 4,5). The act of encrypting and decrypting digital data is referred to as cryptography.…”