Invisible Character-Based Steganography in Social Network Behaviors

With the rapid development of social networks, the use of human behavior to achieve information hiding has become a hot spot in current steganography research. In this paper, we propose a social network behavioral steganography based on invisible characters. The method realizes information transmission by embedding invisible characters in the common friend dynamics of the sender and the receiver, and using the time interval of social behaviors. The receiver, in turn, extracts the secret information by periodically obtaining information about the social behaviors of the mutual friends. Experimental results show that the method has significant advantages in improving the capacity and security of message delivery, and can effectively resist brute-force and impersonation attacks while keeping the communication covert.

Authors

Institutions

Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/aiim64537.2024.10934673
Citations
1
Primary Topic
Advanced Steganography and Watermarking Techniques
Type
article
Field-Weighted Citation Impact
0.25
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Invisible Character-Based Steganography in Social Network Behaviors

Xinbo Zhang, Yu Zhang
1 citations
Advanced Steganography and Watermarking Techniques
0.25
article

Invisible Character-Based Steganography in Social Network Behaviors

Xinbo Zhang, Yu Zhang
article en
1 citations

Abstract

With the rapid development of social networks, the use of human behavior to achieve information hiding has become a hot spot in current steganography research. In this paper, we propose a social network behavioral steganography based on invisible characters. The method realizes information transmission by embedding invisible characters in the common friend dynamics of the sender and the receiver, and using the time interval of social behaviors. The receiver, in turn, extracts the secret information by periodically obtaining information about the social behaviors of the mutual friends. Experimental results show that the method has significant advantages in improving the capacity and security of message delivery, and can effectively resist brute-force and impersonation attacks while keeping the communication covert.

Southwest University (CN)
Reduced inequalities
Openalex Percentile: Top 41%
Advanced Steganography and Watermarking Techniques
0.25
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.