International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 06 | Jun 2025
p-ISSN: 2395-0072
www.irjet.net
Enhanced Security for Banking Transactions: A Stable Visual Cryptography and Steganography-Based Image Processing Technique Using XOR Procedure Km Shweta1, Sambhav Agrwal2 1M.Tech. (CSE) Scholar, Department of Computer Science and Engineering, S. R. Institute of Management and
Technology Lucknow, Uttar Pradesh, India
2Assistant Professor, Department of Computer Science and Engineering, S. R. Institute of Management and
Technology Lucknow, Uttar Pradesh, India ---------------------------------------------------------------------***-------------------------------------------------------------------increasingly processed and distributed using computer Abstract- Recent incidents of information breaches
Keywords: VisuallCryptography, Steganography, Image Processing,lSecret Sharing Scheme, BankinglSystem
systems. But this revolution has brought new threats and computer crimes with it as evidenced by the increasing number of computer attacks and break-ins. Replicating important information will give intruders greater chance to access it. At the other hand, having only one copy of the database means there is no way to restore it if that copy is lost. Therelis therefore a tremendous needlto handle informationlin a safe and accurate manner. Secretlsharing is of great relevance in such situations. The intent of this research is to study the available visual cryptography based schemes and performance analysis of these schemes onithe basis of different parameters (pixeliexpansion, the number ofisecret images, imageiformat and types of sharesigenerated), with a view to develop a new, more efficient technique to overcome the problem encountered in the existing schemes. In the present work, we proposed to design efficient visual cryptography based scheme for providing security. Here, mainly concentrated authenticationlmethod useslXOR operation-basedlVisual Cryptography andlSteganography image processingltechniques to ensurelauthentication and securitylof the informationlstored in thelbank database.
1. INTRODUCTIONl
2. LITERATURElREVIEW
Digital information and data are now more commonly shared over the Internet than ever before. The quality and reliability of global computing networks for digital information and data sharing has increased the digital media’s success. Digital photographs, film, and audio have been revolutionized with the way they can be captured, processed, distributed, and manipulated, providing a wide variety of educational, cultural, business, and military uses, as well as other areas. Computers and networking facilities have become more widespread and less expensive. Creative solutions to data management, access and dissemination have provided many benefits for the digital multimedia industry , primarily due to properties such as distortionfree transmission, portable management and fast editing[1]. With growing device dependency at all levels of our lives, personal and confidential information is
Kafri and Keren[1] suggested that a secret sharinglscheme could be created, in whichlthe secret image could be visually reconstructedlby superimposing randomlgrids. Each grid wouldlconsist of black and whiteipixels, a transparency. Naor andiShamir [1] later implemented a similar implementation called Visual SecretiSharing (VSS). This methodican securely shareiinformation about the image (printed text,ihandwritten notes,ipictures, etc.), and the human visual system can decode original secrets.
highlight the urgent need for secure methods to protect sensitive data from unauthorized access. Researchers have proposed various techniques, with Visual Cryptography (VC) emerging as a promising approach due to its combination of secret sharing and image processing. Unlike conventional encryption methods that are time-intensive, VC divides an encrypted image into multiple shares, which can only be decrypted by the human visual system. However, despite its advantages, VC has vulnerabilities, such as susceptibility to hacking and undetected tampering. This concern is particularly critical in the banking sector, where secure transactions and user authentication are essential. Though biometrics are commonly used for authentication, they are not foolproof, as hackers can exploit stored biometric data. To address these issues, the study proposes a robust VC method enhanced with Steganography and an XORbased image processing technique, aiming to create a more secure and efficient system for banking transactions.
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For a set of n participants, a visual cryptography scheme (VCS) is almethod of encoding a secret image, consisting of a collectionlof black andlwhite pixels, intoln shadow images called shares,lwhere each participantlreceives one share. Only the participant’s qualified subsets can visually recover the secret image by photocopying their
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