Preventing Shoulder Surfing AttacksMatrix Based Graphical Technique

Shoulder Surfing Attacks (SSA) cause a serious risk to user security and privacy in a variety of settings, including sensitive transactions, password entry, and access to personal information. Effective defenses that can stop unauthorized viewing of sensitive data are necessary for mitigating these threats. This proposed model leverages the concept to create an additional layer of protection during user interactions. It utilizes a dynamic matrix consisting of randomized elements to confuse the visual representation of sensitive data, such as passwords or PINs, displayed on a user interface. The matrix introduces visual noise delaying shoulder surfers' ability to decipher the actual input. A software application or model is designed to overlay a randomized matrix on the user input area. This matrix is unique to each interaction session and constantly changes in real-time, making it difficult for shoulder surfers to determine the true input values. The matrix-based scheme presents a novel approach to prevent shoulder surfing attacks by incorporating dynamic matrices that obfuscate sensitive user inputs. This scheme enhances user privacy and security in various sensitive scenarios. Further research and development are required to refine and validate the effectiveness of this approach in real-world deployment scenarios.