Abstract:
The widespread use of the Internet of Things (IoT) applications has
enormously increased the danger level of data leakage and theft in IoT as
data transmission occurs through a public channel. As a result, the security
of the IoT has become a serious challenge in the field of information security.
Steganography on the network is a critical tool for preventing the leakage of
private information and enabling secure and encrypted communication. The
primary purpose of steganography is to conceal sensitive information in any
form of media such as audio, video, text, or photos, and securely transfer
it through wireless networks. In this paper, we analyse the performance
characteristics of one of the steganography techniques called Hidden Communication System for Corrupted Networks (HCCNETs) for hiding sensitive
data. This performance analysis includes the efficiency and the cost of the
system in Wireless Local Area Networks (WLANs), specifically in the IEEE
802.11ah IoT protocol. The analysis is mainly based on a two-dimensional
Markov chain model in the presence of an error channel. Additionally, the
model considers packet arrival rate, back-off timer freezing, back-off stages,
and short retry limit to ensure compliance with IEEE 802.11ah requirements.
It stresses the importance of taking these elements into consideration while
modeling the efficiency and cost of the steganographic channel system. These
parameters often result in a high precise channel access estimation, a more
accurate and efficient accuracy measurements system, efficient channel utilisation, avoidance of throughput saturation overestimation, and ensuring that
no packet is served endlessly. Evaluated results demonstrate that HCCNETs
is an effective approach at low cost.
