Steganographic Analysis of Blockchains

Area of Science:

• Cybersecurity
• Blockchain Technology
• Data Hiding

Background:

• Steganography, the practice of concealing data, poses security risks, particularly for illicit communications.
• Public blockchains are theoretically suitable for hidden communications, but empirical evidence of their use is scarce.
• Existing steganalysis methods for blockchains are underdeveloped.

Purpose of the Study:

• To investigate the presence of steganography in real-world blockchain scenarios.
• To evaluate the feasibility of hiding data within Bitcoin and Ethereum transactions.
• To develop and apply steganalysis techniques focusing on Least Significant Bit (LSB) manipulation in addresses and nonces.

Main Methods:

• Sequential analysis of 253 GiB of Bitcoin and 107 GiB of Ethereum data.
• Analysis of up to 98 million Bitcoin clusters.
• Focus on Least Significant Bit (LSB) steganography in addresses and nonces.

Main Results:

• Bitcoin clusters theoretically could conceal up to 360 KiB of hidden data.
• No definitive evidence of steganography was detected in the analyzed Bitcoin and Ethereum datasets.
• Sequential analysis might miss user-level steganographic practices.

Conclusions:

• While blockchains offer potential for data hiding, current evidence does not support widespread steganographic use.
• Clustering analysis is suggested as a complementary method for detecting steganography, contingent on accuracy.
• Steganalysis remains a critical component for ensuring blockchain security.