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Image steganography is a technique of concealing confidential information within an image without dramatically changing its outside look. Whereas vehicular ad hoc networks (VANETs), which enable vehicles to communicate with one another and with roadside infrastructure to enhance safety and traffic flow provide a range of value-added services, as they are an essential component of modern smart transportation systems. VANETs steganography has been suggested by many authors for secure, reliable message transfer between terminal/hope to terminal/hope and also to secure it from attack for privacy protection. This paper aims to determine whether using steganography is possible to improve data security and secrecy in VANET applications and to analyze effective steganography techniques for incorporating data into images while minimizing visual quality loss. According to simulations in literature and real-world studies, Image steganography proved to be an effective method for secure communication on VANETs, even in difficult network conditions. In this research, we also explore a variety of steganography approaches for vehicular ad-hoc network transportation systems like vector embedding, statistics, spatial domain (SD), transform domain (TD), distortion, masking, and filtering. This study possibly shall help researchers to improve vehicle networks’ ability to communicate securely and lay the door for innovative steganography methods.

A Review on the Recent Trends of Image Steganography for VANET Applications