Application Projects in Chennai
Application based Projects are usually carried by MCA & MSc Students. MCA Students are advised to do Application Projects in the platforms of J2EE, Android, .NET, C#, ASP, Hibernate, Struts, Ajax and other Application Development Languages.
In Realtime Development Software Projects, the projects are developed and deployed as application only. Engineering students are more advised to do IEEE Based Technology Projects which involves more concepts of Networking, Security, Mobile Computing, Cloud Computing, Green Computing, Algorithms, Data Mining and so on.
In Application Entity we are going to develop projects which are used in Realtime and Web based. That is, Portal based, Web Mining, Big Data, Android, Server based Implementations, Cloud Computing, Web Services, Embedded Systems, Clustering, Social Networking and so on.
Aadhityaa Infomedia Solutions is a pioneer in providing Application Projects in Chennai. We involve in ERP Portals, Web based Content Management Systems, Coupon Portals, Job Portals, Deals Portals, Matrimony, and Android based Smart TV Hardware & Software Entity Development, and so on. So, we have involved in lots of Application based student projects in Chennai.
Technologies & Domains
User Biometric Authentication using mouse based Signature Verification with OTP Generation
Recently, several large-scale password leakages exposed users to an unprecedented risk of disclosure and abuse of their information. the inadequacy of password-based authentication mechanisms is becoming a major concern for the entire information society.
The proposed system, consists of three major modules:
(1) Mouse–Behavior Capture, (2) Feature Construction, and (3) Training / Classification.
The first module serves to create a mouse-operation task, and to capture and interpret mouse-behavior data.
The second module is used to extract holistic and procedural features to characterize mouse behavior and to map the raw features into distance-based features by using various distance metrics.
The third module, in the training phase, applies neural network on the distance-based feature vectors to compute the predominant feature components, and then builds the user’s profile using a one-class classifier.
In the classification phase, it determines the user’s identity using the trained classifier in the distance-based feature using NN.
In the modification process, a 4 Digit OTP is generated to the user’s email ID. The user will be giving the 2 digit OTP and the server will be giving the balance 2 digit OTP. Users digit OTP is verified by the server and vice versa.