Enhanced Security in Cloud Computing Using Neural Network and Encryption

Sana, Muhammad Usman; Li, Zhanli; Javaid, Fawad; Liaqat, Hannan Bin; Ali, Muhammad Usman

doi:10.1109/access.2021.3122938

Cited by 11 publications

(4 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…By using (12), SC is a space complexity, SC is calculated in terms of megabytes (MB), D i is a number of data.…”

Section: Analysis Of Space Complexitymentioning

confidence: 99%

“…An enhanced Honeypot Cryptographic Scheme was introduced in reference 11 to improve privacy Preservation while communicating or data storing in the cloud. An artificial neural network (ANN) and encryption method were performed 12 to enhance the security of communication. But, the designed method was not efficient to attain higher data confidentiality.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Advanced set containment deep learned Rabin certificateless signcryption for secured transmission with big data in cloud

Sakthivel,

Madhubala

2023

Concurrency and Computation

View full text Add to dashboard Cite

SummaryCloud computing is distributed type of technology to offers distant services by the internet to manage, access, and store data on their server. The cloud server manages and distributes large amounts of data. During large amounts of complex structured and unstructured data transactions, in order to protect the data and cloud resources from harmful activities by using the main task of the security system. Therefore, a novel intrusion detection system is required in cloud networks to detect malicious activity and improve secure data transmission. In this paper, a novel technique called advanced set containment deep learned Rabin certificateless signcryption (ADRES) technique is employed to secure data transmission for achieving better confidentiality, and integrity, in cloud computing. The ADRES technique includes three major phases namely Registration and key generation, signcryption, and unsigncryption. At the first phase, the user registers details to the cloud server using secure transmission in big data analytics. The cloud server generates the private and public keys for each registered user. In the second phase, the signcryption process is determined by cloud user that encrypts and generates the signature by using the Rabin cryptosystem. Then encrypted data is stored in a cloud server with minimum space complexity. Finally, the unsigncryption is performed by using signature verification and decryption. First, the signature verification is performed by applying an Advanced set containment Deep belief neural network for identifying the authorized or unauthorized user (i.e., attacker). The authorized user decrypts data using the Rabin cryptosystem to achieve the original data. Thus, secure data transmission is obtained through improved data confidentiality and integrity. Simulation of the proposed ADRES technique is performed with respect to data confidentiality level, data integrity rate, and computation time, space complexity with several numbers of data. Experimental results reported ADRES obtains the improved data transmission security with better confidentiality rate by 7%, integrity by 7%, and lesser time 16% and space complexity by 18% than the conventional methods.

show abstract

“…By using (12), SC is a space complexity, SC is calculated in terms of megabytes (MB), D i is a number of data.…”

Section: Analysis Of Space Complexitymentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Advanced set containment deep learned Rabin certificateless signcryption for secured transmission with big data in cloud

Sakthivel,

Madhubala

2023

Concurrency and Computation

View full text Add to dashboard Cite

show abstract

“…This research also aims to pose questions on how anonymity and encryption of data influence the application of neural networks, whether homomorphic encoding is of value not only to restore the original form of data but also to ensure that data remains confidential as it provides insightful information from the specific data set. [5] Cloud computing is widely implemented within the Information Technology sector due to such features as virtualization, scalability, cost-efficiency, and sharing on-demand. However, about data storage and transmission using cloud services, constant doubts emerge as to security.…”

Section: Introductionmentioning

confidence: 99%

Review of Data Security and Privacy in Cloud Computing

2024

IJSREM

View full text Add to dashboard Cite

Cloud computing, thus, ensure more healthy demand for cloud services, certain measures against threats in order to protect information must be taken. In essence, the current paper seeks to extend knowledge regarding the improvement of paradigms of cloud computing with particular focus on the aspect of certification of authentic users and protection of the contents that are hosted in these environments. It mentions a new approach in the context of the authentication method that was deployed for the purpose of the AAA certification is presented there along with the watermarking and this RSA algorithms to enhance the security of the cloud file-sharing. This concept is far more effective than the conventional access policies that are top down and cal beforehand for systematic risk avoidance; hence, it helps to minimize the chances of an organization being vulnerable to various risks by right management. Iturbide’s data loss prevention technique eliminates the probability of losing sensitive information to the rest of the world as well as other unauthorized persons or organizations regaining access to privileged keys while Shamir’s secret sharing algorithm- polynomial interpolation ensures that the generation of keys is not a time-consuming exercise. In order to address the issues of persistent security threats in cloud computing paradigm, the proposed model includes computation, encryption and access to improve the overall security of cloud environment. However, these measures have been implemented, some of them can offer the best security when it comes to the ever-evolving threat. To maintain the privacy of clients’ data in the CL reinforcement learning, the paper suggests the use of homomorphic encryption for privacy-preserving RL inference. Therefore – as a result of the work – the necessity of implementing the suggested security model for the cloud computing environments as well as protecting the data and enhancing the level of trust in cloud solutions is stated. Keywords - QoS (Quality of Service), Energy Efficiency, Ontology, AAA (Authentication, Authorization, and Accounting), RSA Algorithm, RSA Algorithm, ReDCIM (Reconfigurable Digital Computing-In-Memory) Processor, tableopencache, LSTM (Long Short-Term Memory)

show abstract

“…Ciphertext cannot be understood by unauthorized persons. Converting data again into its previous form or making the understanding of encrypted information so it can be understood or read by authorized persons is termed decryption [14,15]. For information security, there are numerous encryption algorithms extensively employed.…”

Section: Introductionmentioning

confidence: 99%

A Secure Method for Data Storage and Transmission in Sustainable Cloud Computing

Sana¹,

Li²,

Kiren³

et al. 2023

Computers, Materials &Amp; Continua

Self Cite

View full text Add to dashboard Cite

Cloud computing is a technology that provides secure storage space for the customer's massive data and gives them the facility to retrieve and transmit their data efficiently through a secure network in which encryption and decryption algorithms are being deployed. In cloud computation, data processing, storage, and transmission can be done through laptops and mobile devices. Data Storing in cloud facilities is expanding each day and data is the most significant asset of clients. The important concern with the transmission of information to the cloud is security because there is no perceivability of the client's data. They have to be dependent on cloud service providers for assurance of the platform's security. Data security and privacy issues reduce the progression of cloud computing and add complexity. Nowadays; most of the data that is stored on cloud servers is in the form of images and photographs, which is a very confidential form of data that requires secured transmission. In this research work, a public key cryptosystem is being implemented to store, retrieve and transmit information in cloud computation through a modified Rivest-Shamir-Adleman (RSA) algorithm for the encryption and decryption of data. The implementation of a modified RSA algorithm results guaranteed the security of data in the cloud environment. To enhance the user data security level, a neural network is used for user authentication and recognition. Moreover; the proposed technique develops the performance of detection as a loss function of the bounding box. The Faster Region-Based Convolutional Neural Network (Faster R-CNN) gets trained on images to identify authorized users with an accuracy of 99.9% on training.

show abstract

Enhanced Security in Cloud Computing Using Neural Network and Encryption

Cited by 11 publications

References 31 publications

Advanced set containment deep learned Rabin certificateless signcryption for secured transmission with big data in cloud

Advanced set containment deep learned Rabin certificateless signcryption for secured transmission with big data in cloud

Review of Data Security and Privacy in Cloud Computing

A Secure Method for Data Storage and Transmission in Sustainable Cloud Computing

Contact Info

Product

Resources

About