Cloud Application Security using Hybrid Encryption

Alabi, Olaniran; Aderonke, Thompson; Boniface, Alese; Arome, J

doi:10.5120/cae2020652866

Cited by 19 publications

(12 citation statements)

References 6 publications

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“…Schneier designed the symmetric key algorithm as a general-purpose algorithm. 36 It was initially designed for embedded systems then due to its speedy response and efficiency, it was used for multiple domains. It accomplished major objectives like robustness, simplicity, and less memory usage.…”

Section: Blowfishmentioning

confidence: 99%

“…Blow Fish is another cryptography algorithm that encrypts the 64‐bit size through the range of key 128 and 448 bits. Schneier designed the symmetric key algorithm as a general‐purpose algorithm 36 . It was initially designed for embedded systems then due to its speedy response and efficiency, it was used for multiple domains.…”

Section: Cryptographic Algorithmsmentioning

confidence: 99%

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Cloud computing platform: Performance analysis of prominent cryptographic algorithms

Ajmal

Ibrar

Amin

2022

Concurrency and Computation

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With advancements in science and technology, cloud computing is the next big thing in the industry. Cloud cryptography is a technique that uses encryption algorithms to secure data. The significant advantage of cloud storage is no difficulty to get to, diminished equipment, low protection, and fixing cost so every association is working with the cloud. Encryption is the process of encoding information to prevent unauthorized access. Nowadays, we desire to secure the information that is to be stored in our computer or transmitted utilizing the internet against attacks.The cryptographic method depends on their response time, confidentiality, bandwidth, and integrity. Furthermore, security is a significant factor in cloud computing for ensuring client data is placed on the safe mode in the cloud. Our research paper compares the efficiency, usage, and utility of available cryptography algorithms.Evaluation results suggest which algorithm is better for which type of data and environment.

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Section: Blowfishmentioning

confidence: 99%

Section: Cryptographic Algorithmsmentioning

confidence: 99%

Cloud computing platform: Performance analysis of prominent cryptographic algorithms

Ajmal

Ibrar

Amin

2022

Concurrency and Computation

View full text Add to dashboard Cite

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“…Publisher subscriber algorithm with ontology logic for encryption to maintain confidentiality and authenticity (43).…”

Section: Types Risks Approachesmentioning

confidence: 99%

Trustworthy Intrusion Detection in E-Healthcare Systems

Akram

Zhao

et al. 2021

Front. Public Health

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In Internet of Things (IoT)-based network systems (IoT-net), intrusion detection systems (IDS) play a significant role to maintain patient health records (PHR) in e-healthcare. IoT-net is a massive technology with security threats on the network layer, as it is considered the most common source for communication and data storage platforms. The security of data servers in all sectors (mainly healthcare) has become one of the most crucial challenges for researchers. This paper proposes an approach for effective intrusion detection in the e-healthcare environment to maintain PHR in a safe IoT-net using an adaptive neuro-fuzzy inference system (ANFIS). In the proposed security model, the experiments present a security tool that helps to detect malicious network traffic. The practical implementation of the ANFIS model on the MATLAB framework with testing and training results compares the accuracy rate from the previous research in security.

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“…Another strategy to present a security system that does not depend on a third party is proposed by A. Orobosade et al, (2020) [25]. They have proposed a hybrid encryption method that includes symmetrical and asymmetrically designed cryptographic systems to preserve the privacy and safety of users in the cloud.…”

Section: Literature Reviewsmentioning

confidence: 99%

A New Hybrid Automated Security Framework to Cloud Storage System

2021

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The need for cloud storage grows day after day due to its reliable and scalable nature. The storage and maintenance of user data at a remote location are severe issues due to the difficulty of ensuring data privacy and confidentiality. Some security issues within current cloud systems are managed by a cloud third party (CTP), who may turn into an untrustworthy insider part. This paper presents an automated Encryption/Decryption System for Cloud Data Storage (AEDS) based on hybrid cryptography algorithms to improve data security and ensure confidentiality without interference from CTP. Three encryption approaches are implemented to achieve high performance and efficiency: Automated Sequential Cryptography (ASC), Automated Random Cryptography (ARC), and Improved Automated Random Cryptography (IARC) for data blocks. In the IARC approach, we have presented a novel encryption strategy by converting the static S-box in the AES algorithm to a dynamic S-box. Furthermore, the algorithms RSA and Twofish are used to encrypt the generated keys to enhance privacy issues. We have evaluated our approaches with other existing symmetrical key algorithms such as DES, 3DES, and RC2. Although the two proposed ARC and ASC approaches are more complicated, they take less time than DES, DES3, and RC2 in processing the data and obtaining better performance in data throughput and confidentiality. ARC outperformed all of the other algorithms in the comparison. The ARC’s encrypting process has saved time compared with other algorithms, where its encryption time has been recorded as 22.58 s for a 500 MB file size, while the DES, 3DES, and RC2 have completed the encryption process in 44.43, 135.65, and 66.91 s, respectively, for the same file size. Nevertheless, when the file sizes increased to 2.2 GB, the ASC proved its efficiency in completing the encryption process in less time.

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Cloud Application Security using Hybrid Encryption

Cited by 19 publications

References 6 publications

Cloud computing platform: Performance analysis of prominent cryptographic algorithms

Cloud computing platform: Performance analysis of prominent cryptographic algorithms

Trustworthy Intrusion Detection in E-Healthcare Systems

A New Hybrid Automated Security Framework to Cloud Storage System

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