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Amudhavalli, P.
- Multi Party Key Authentication and Steganography for Secured Data Transaction in Cloud
Authors
Source
Biometrics and Bioinformatics, Vol 8, No 7 (2016), Pagination: 175-179Abstract
Cloud computing is appearing data interactive paradigm to realize users’ data remotely stored in an online cloud server. Cloud services provide great conveniences for the users to enjoy the on-demand cloud applications without considering the local infrastructure limitations. During the data accessing, different users may be in a collaborative relationship, and thus data sharing becomes significant to achieve productive benefits. The existing security solutions mainly focus on the authentication cannot be illegally accessed, but abandon a subtle privacy issue during a user challenging the cloud server to request other users for data sharing. In this proposed system contain a three Entities Users, Cloud Server & Trusted Third Party (TPA). Data Users are both Data Owners & Data Users. Every User will be registering with the Cloud Server. Cloud will be generating Pair wise Keys, Primary & Secondary Keys for both Cloud Server & Data User. Users one wants to Access the data of other Users then Keys are Shared Keys are generated and accordingly the Data is authorized for Usage. In an Access key is generated while Registration with Cloud. After that only Shared Keys are generated. Finally a Mutual Access key is generated by the data owner to the data user and sent via Email. Data User will have to hide that Mutual Key in an Image called Steganography and sent to the Data Owner. Data is accessed by only after Verifying Mutual Key using Destaganography. The process requires high security and data integrity and also used to easily find the attacker.
- Prediction of Air Pollution using Supervised Machine Learning
Authors
1 Assistant Professor, Department of Computer Application, B. S. Abdur Rahman Crescent Institute of Science and Technology, Chennai, IN
2 Master of Computer Application, Department of Computer Application, B. S. Abdur Rahman Crescent Institute of Science and Technology, Chennai, IN
Source
Journal of Applied Information Science, Vol 10, No 1 (2022), Pagination: 10-16Abstract
The prediction and estimation of the air pollution stands a necessary analysis area. The main abstract of this is to explore machine learning which is used for checking of air quality forecasting to predict the outcome in best accuracy. In supervised machine learning this analysis is done to measure information like identification of variable and analysis of univariate, bivariate and multivariate analysis and identify the values which are missed and used to analyze validation of data and cleaning of data and visualization of data is done by entire by dataset. This analysis is to provide complete guide to sensitive analysis of parameters in addition to forecasting of air pollution by accurate prediction. This analysis is to suggest framework to expect the index of air excellence by predicting the results to form good accuracy and used to compare supervise classification machine learning algorithms. In addition it is to discuss the algorithm from the dataset taken from traffic department with graphic user interface air quality prediction.Keywords
Air Pollution, Air Quality, Classification Method, GUI Results, Prediction, Python, Quality.- Digital Crime Reporting System by using PHP
Authors
1 Assistant Professor, Department of Computer Application, B. S. Abdur Rahman Crescent Institute of Science and Technology, Vandalur, Chennai, Tamil Nadu, IN
2 Master of Computer Application, Department of Computer Application, B. S. Abdur Rahman Crescent Institute of Science and Technology, Vandalur, Chennai, Tamil Nadu, IN
Source
Journal of Applied Information Science, Vol 10, No 1 (2022), Pagination: 44-49Abstract
The “Digital Crime Reporting System” is a website based on php scripting language for online crime reporting and for managing crime records in a computerized way. Here in this website the registration of a person is earlier than login is must if he/she wants to report a complaint or to report an incident related to crime so that the authentication of the user login will be done by the administrator in the website to allow the user to file the complaint. Thus the police will received the complaint and they can reply a message about the complaint status to the user. Officers can use this system to manage a distinctive crime and to manage the manual works which is carried out in the police department. The police login id and password will receive directly from the admin. The modules like news feed, missing peoples, safety tips and the list of most wanted criminals are available in the website which can be seen without logging in of the user. So this system helps the officer to discover the issues in the town/city without actually the people coming into the police station. The digital crime reporting system will manage activities (like complaint registration, updating information, searching a particular crime report) all these activity will save time and manpower. So this system helps the officer to discover the issues in the town/city without actually the people coming into the police station.Keywords
Bootstrap, Crime Reporting System, FIR, PhpReferences
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