| dc.contributor.author | Awan, Muhammad Talha Reg # 43777 | |
| dc.contributor.author | Aqeel, Muhammad Reg # 43729 | |
| dc.contributor.author | Azam, Hafiza Tayyaba Reg # 43720 | |
| dc.date.accessioned | 2023-05-23T05:38:30Z | |
| dc.date.available | 2023-05-23T05:38:30Z | |
| dc.date.issued | 2019 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/15518 | |
| dc.description | Supervised by Dr. Ghulam Muhammad Shaikh | en_US |
| dc.description.abstract | During recent times, Information and telecommunication technology (ICT) has changed every aspect of human life. Cloud Computing is a swiftly rising area in today’s modem era. But the nature of data shared in the cloud makes it exposed to security threats. Today many cloud users are facing major problems like fake logging in and data theft. So, it is necessary for us to allow access to the users to the cloud by means of proper authentication for privacy and security purposes. Therefore, different measures ofsecurity need to be applied to avoid security violations. This research uses the concept of Biometric Authentication performed in a hybrid cloud architecture along with Data Encryption to upgrade the system to a new level. Different models and authentication methods are discussed. After viewing, analysing and studying different models in previous researches, a new and suitable model is defined. The proposed system demonstrates a significantly additional reliable model consisting of a “Hybrid Cloud , a Storage where the User Credentials are stored and an Encryption Mechanism for Encryption of Extracted Features. This work will apply the techniques of cloud computing with the knowledge offeature extraction and encryption for improved and better security measures. | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | Bahria University Karachi Campus | en_US |
| dc.relation.ispartofseries | BSCS;MFN BSCS 219 | |
| dc.title | BIOMETRIC AUTHENTICATION IN HYBRID CLOUD | en_US |
| dc.type | Project Reports | en_US |