TY - JOUR
T1 - Enhancing Data Hiding Methods for Improved Cyber Security Through Histogram Shifting Direction Optimization
AU - Fatman, Alek Nur
AU - Ahmad, Tohari
AU - De La Croix, Ntivuguruzwa Jean
AU - Hossen, Md Sagar
N1 - Publisher Copyright:
© (2023). All Rights Reserved.
PY - 2023/10
Y1 - 2023/10
N2 - Advancements in information and communication technology have facilitated diverse operational environments, spanning across financial to military sectors. However, these advancements carry an escalation in cybersecurity threats, potentially compromising user privacy and security. Among the various mechanisms introduced to mitigate these threats, data hiding methods stand out. These methods embed covert data within cover data, such as audio and video files, thereby providing an additional layer of security. In this study, we develop upon the existing data hiding techniques, enhancing their capacity to conceal varied sizes of covert data. Our proposed method leverages both right and bottom context pixels for a more nuanced data hiding approach. The effectiveness of this scheme is evaluated by quantifying the quality of the stego data, represented by the Peak Signal to Noise Ratio (PSNR) value. Our initial findings indicate that our method yields superior stego data quality, suggesting its potential to accommodate a larger volume of covert data while preserving the similarity between the cover and stego files. This study thus contributes to more robust and efficient data hiding techniques, bolstering cybersecurity measures in the face of increasing digital threats.
AB - Advancements in information and communication technology have facilitated diverse operational environments, spanning across financial to military sectors. However, these advancements carry an escalation in cybersecurity threats, potentially compromising user privacy and security. Among the various mechanisms introduced to mitigate these threats, data hiding methods stand out. These methods embed covert data within cover data, such as audio and video files, thereby providing an additional layer of security. In this study, we develop upon the existing data hiding techniques, enhancing their capacity to conceal varied sizes of covert data. Our proposed method leverages both right and bottom context pixels for a more nuanced data hiding approach. The effectiveness of this scheme is evaluated by quantifying the quality of the stego data, represented by the Peak Signal to Noise Ratio (PSNR) value. Our initial findings indicate that our method yields superior stego data quality, suggesting its potential to accommodate a larger volume of covert data while preserving the similarity between the cover and stego files. This study thus contributes to more robust and efficient data hiding techniques, bolstering cybersecurity measures in the face of increasing digital threats.
KW - Peak Signal to Noise Ratio (PSNR)
KW - cyber security
KW - data hiding
KW - histogram shifting
KW - information security
KW - network infrastructure
KW - steganography
UR - http://www.scopus.com/inward/record.url?scp=85175246046&partnerID=8YFLogxK
U2 - 10.18280/mmep.100502
DO - 10.18280/mmep.100502
M3 - Article
AN - SCOPUS:85175246046
SN - 2369-0739
VL - 10
SP - 1508
EP - 1514
JO - Mathematical Modelling of Engineering Problems
JF - Mathematical Modelling of Engineering Problems
IS - 5
ER -