Claims:1. An enhanced security framework for smart weather systems based on IoT comprising,
a plurality of sensors capable of reading atmospheric parameters;
a processor capable of decoding the sensor data;
an algorithm capable of securely storing, assessing and processing the data.

2. The system as claimed in claim 1, wherein the data so processed are encrypted with enhanced security within the IoT system and also realtime data is acquired.

3. The system as claimed in claim 1, wherein the data is secured and accessed from cloud and local servers as per the requirements.
, Description:[0015] The data values of matrix are stored into the cloud with security which is highly essential for confidentiality. In the present work Homomorphic encryption technique is used for sensor data encryption. In this work the climate conditions are measured with sensors and uploaded onto cloud with secure homomorphic encryption technique. Here homomorphic encryption technique is used because that is most capable of carrying mathematical computations evolved on data readings. A very complex strategy is implemented to implement encryption with the help of cipher matrix. Although homomorphic encryption is not much suitable for cloud security, but it is most suitable for simple mathematical calculations occurred on data of IoT.
[0016] The homomorphic encryption avoids all overheads occur in the communication between cloud and consumer. Hence a light weight homomorphic mechanism is suitable and is used in the present work. A unique encryption key is applied on all data elements of the matrix for simplicity. In the second method an asymmetric encryption is done to enhance the security of the data and more commutative encryption is applied to the data. The private key is used for both encryption and decryption. The asymmetric encryption can be implemented by dividing sensory data into individual chunks.
[0017] The sensor readings are further scaled to display in user understandable format. The rain drop sensor produce the readings inversely proportional to rain drop fall on the board surface. When there is no drop on the sensor board, that is at dry state it produce approximately an output equivalent to 1024. The standard readings are encrypted with key represented with 2 and the resultant code is obtained by passing the values into 2. An alphabet code is utilized as key for encryption. The encrypted is uploaded to the cloud. In this manner the sensor data is protected from the attackers. At the receiver end encoded data is retrieved and decrypted with inverse of the key.