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A blockchain is a decentralized, disseminated and digital ledger that can't be altered retroactively without modifying every single blocks and the consensus of the network. Blockchain can be used in smart contracts, Banks, IoT devices, Database management, etc., Due to recent times flaws and leakage of Aadhaar information (Aadhaar which is the largest government databases of the Indian citizens) in Internet the security and privacy of Aadhaar became questionable. In order to ensure the security of Aadhaar, Blockchain has the potential to overcome security and privacy challenges in Aadhaar. In this project we are going to create a Blockchain for Aadhaar database and implement light weight algorithm for efficiency, optimization and scalability along with the Blockchain securing algorithm.

Nowadays, security breaches are greatly increasing in number. This is one of the major threats that are being faced by most organisations which usually lead to a massive loss. The major cause for these breaches could potentially be the vulnerabilities in software products. There are many tools available to detect such vulnerabilities but detection and correction of vulnerabilities during development phase would be more beneficial. Though there are many standard secure coding practices to be followed in development phase, software developers fail to utilize them and this leads to an unsecured end product. The difficulty in manual analysis of vulnerabilities in source code is what leads to the evolution of automated analysis tools. Static and dynamic analyses are the two complementary methods used to detect vulnerabilities in development phase. Static analysis scans the source code which eliminates the need of execution of the code but it has many false positives and false negatives. On the other hand, dynamic analysis tests the code by running it along with the test cases. The proposed approach integrates static and dynamic analysis. This eliminates the false positives and false negatives problem of the existing practices and helps developers to correct their code in the most efficient way. It deals with common buffer overflow vulnerabilities and vulnerabilities from Common Weakness Enumeration (CWE).The whole scenario is implemented as a web interface.