Cloud security architecture based on user authentication and symmetric key cryptographic techniques

Wani, Abdul Raoof; Rana, Q. P.; Pandey, Nitin

doi:10.1109/icrito.2017.8342485

Cited by 7 publications

(3 citation statements)

References 18 publications

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“…In Wani et al (2017), Blowfish is used for securing communication, OTP is used for authentication, SHA3 is used to secure tables and AES is used for file encryption. Experimental analysis on AES, DES, 3DES, Blowfish, RC4, IDEA and TEA, found that AES and Blowfish work best on the different parameters tested.…”

Section: Existing Cloud Encryption Algorithmsmentioning

confidence: 99%

“…While analyzing the algorithms, various drawbacks for each algorithm were identified, such as 3DES does not perform well in terms of running time, power consumption and throughput (Thakur and Kumar, 2011), RSA is slower as compared to symmetric encryption algorithms and is prone to timing attacks (O K Jasim Mohammad et al , 2013), Blowfish suffers from weak keys problem (Thakur and Kumar, 2011) and DES is susceptible to various attacks and can be cracked easily using modern technologies (Aleisa, 2015). Symmetric algorithms are faster than asymmetric algorithms (Yassein et al , 2017), AES algorithm proved to be the most efficient encryption algorithm and most widely used based on various parameters (Altigani et al , 2019; Bhardwaj et al , 2016; O K Jasim Mohammad et al , 2013; Singh and Supriya, 2013; Wani et al , 2017) and a combination of algorithms is believed to perform better as compared to standalone algorithms (Singh and Supriya, 2013).…”

Section: Introductionmentioning

confidence: 99%

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CloudJS: novel cloud-based design framework for text-file encryption

Gupta

Dharadhar

Churi

2021

WJE

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Purpose Cloud computing is becoming increasingly popular as it facilitates convenient, ubiquitous, on-demand network access to a shared pool of configurable computing resources and applications that can be quickly retrieved and released. Despite its numerous merits, it faces setbacks in data security and privacy. Data encryption is one of the most popular solutions for data security in the cloud. Various encryption algorithms have been implemented to address security concerns. These algorithms have been reviewed along with the Jumbling Salting algorithm and its applications. The framework for using Jumbling Salting to encrypt text files in the cloud environment (CloudJS) has been thoroughly studied and improvised. The purpose of this paper is to implement the CloudJS algorithm, to discuss its performance and compare the obtained results with existing cloud encryption schemes. Design/methodology/approach The paper uses six research questions to analyze the performance of CloudJS algorithm in the cloud environment. The research questions are about measuring encryption time and throughput, decryption time and throughput, the ratio of cipher to the plain text of CloudJS algorithm with respect to other Cloud algorithms like AES and DES. For this purpose, the algorithm has been implemented using dockers-containers in the Linux environment. Findings It was found that CloudJS performs well in terms of encryption time, decryption time and throughput. It is marginally better than AES and undoubtedly better than DES in these parameters. The performance of the algorithm is not affected by a number of CPU cores, RAM size and Line size of text files. It performs decently well in all scenarios and all resultant values fall in the desired range. Research limitations/implications CloudJS can be tested with cloud simulation platforms (CloudSim) and cloud service providers (AWS, Google Cloud). It can also be tested with other file types. In the future, CloudJS algorithm can also be implemented in images and other files. Originality/value To the best of the knowledge, this is the first attempt to implement and analysis of a custom encryption algorithm (CloudJS) in the cloud environment using dockers-containers.

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Section: Existing Cloud Encryption Algorithmsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

CloudJS: novel cloud-based design framework for text-file encryption

Gupta

Dharadhar

Churi

2021

WJE

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“…Cloud computing provides a flexible and on-demand virtual pool of configurable computing resources with limited management effort or service provider interactions at all times and anywhere.Cloud computing platform faces a lot of challenges and security still remains one of the biggest challenges. There are many security-related attacks that are well mitigated in non-cloud infrastructures and these solutions are now being applied in cloud computing environments [1]. The risks and challenges of adopting a cloud computing environment are very high due to the migration of a lot of companies to the platform.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Solutions for Analysis and Detection of DDoS Attacks in Cloud Computing Environment

Wani¹,

Rana²,

Pandey³

2020

IJEAT

Self Cite

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Distributed denial of service is a critical threat that is responsible for halting the normal functionality of services in cloud computing environments. Distributing Denial of Service attacks is categorized in the level of crucial attacks that undermine the network's functionality. These attacks have become sophisticated and continue to grow rapidly, and it has become a challenging task to detect and address these attacks. There is a need for Intelligent Intrusion detection systems that can classify and detect anomalous behavior in network traffic. This research was performed on the cloudstack environment using Tor Hammer as an attacking mechanism, and the Intrusion Detection System produced a new dataset. This analysis incorporates numerous algorithms of machine learning: k-means, decision tree, Random Forest, Naïve Bayes, Support Vector Machine and C4.5

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