Cloud computing is an advanced trend, which provides
access to applications and resources over the internet. In
a cloud computing environment, the data is stored on
remote servers accessed through the internet. The increasing
volume of necessary data brings up more focus
on securely storing data. Encryption plays a vital role in
security for dierent types of data. The existing methods
encrypt all data using the same key without taking
into account the condentiality level of data, which in
turn will increase the encryption time. In this research,
a novel encryption algorithm based on chaos theory in
the cloud computing environment is developed. The new
hybrid cryptography algorithm based on chaotic mapped
called (Chaotic NHCP). Chaotic NHCP uses a classication
method. The new framework of data encryption operates
as follows, Firstly, KNN method is used to classify
the data credibility level, and then Fast RSA algorithm
and blowsh algorithm are used to encrypt the data to
achieve the eect of Fast data encryption. The objects
are classied by a maximum value of its neighbours, with
the object being assigned to the class with most common
among its K-nearest neighbours. Then, the 32-bit
plaintext data was split into two 16-bit plaintext data,
and the 32-bit ciphertext data was synthesised after encryption
by Fast RSA and Blowsh hybrid algorithm, respectively.
The proposed method was tested with different
encryption algorithms and evaluated according to
the encryption time, throughput and power consumption.
The experimental results show that the Chaotic NHCP
method minimises the encryption time needed to secure
data that leads to a suitable condentiality level required
for the data. In addition, it has high throughput and
low power consumption along with time-saving. The proposed
method has proven the superior in the performance
of processing time when compared with other encryption algorithms.