Abstract:
Nowadays, cloud computing is one of the important and rapidly growing services; its
capabilities and applications have been extended to various areas of life. Cloud computing systems
face many security issues, such as scalability, integrity, confidentiality, unauthorized access, etc. An
illegitimate intruder may gain access to a sensitive cloud computing system and use the data for
inappropriate purposes, which may lead to losses in business or system damage. This paper proposes
a hybrid unauthorized data handling (HUDH) scheme for big data in cloud computing. The HUDH
scheme aims to restrict illegitimate users from accessing the cloud and to provide data security
provisions. The proposed HUDH consists of three steps: data encryption, data access, and intrusion
detection. The HUDH scheme involves three algorithms: advanced encryption standards (AES)
for encryption, attribute-based access control (ABAC) for data access control, and hybrid intrusion
detection (HID) for unauthorized access detection. The proposed scheme is implemented using the
Python and Java languages. The testing results demonstrated that the HUDH scheme can delegate
computation overhead to powerful cloud servers. User confidentiality, access privilege, and user
secret key accountability can be attained with more than 97% accuracy.
