A Novel Strong Password Generator for Improving Cloud Authentication

Abdellaoui, Abderrahim; Khamlichi, Younes Idrissi; Chaoui, Habiba

doi:10.1016/j.procs.2016.05.236

Cited by 25 publications

(6 citation statements)

References 19 publications

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“…High device cost and 2. Deployment and execution complexity [23][24][25]. The proposed system addresses this limitation significantly and attains better scope of execution of data security with dual authentication procedure at an optimal cost of execution.…”

Section: Results and Analysismentioning

confidence: 99%

Layers Based Optimal Privacy Preservation of the On-premise Data Supported by the Dual Authentication and Lightweight on Fly Encryption in Cloud Ecosystem

Kumar¹,

Prabhudeva

2021

Wireless Pers Commun

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The Big Data stored in the cloud-based clusters of nodes requires an efficient mechanism to protect its privacy information. The traditional anonymization approach for privacy preservation is not applicable for Big Data due to overheads induced as the data storage mechanism follows a distributed file system in the cloud eco-store. This paper presents a duallayer security model that mitigates the attackers' effect on access to private information. The model architecture consists of a strong authentication mechanism where the key generation to get the access control adopts a high random and customization policy so that at first hand the intruder's probability of entering into the cloud system is nullified and effectively handles the anonymity attack, in the second part of the security model the privacy information part of the data is encrypted with a very lightweight encryption method, and it gets synchronized with the data-deduplication template of the data nodes in the cloud so that the proposed model provides higher security of the privacy information in less time complexities of the cryptographic algorithm which makes the models more reliable as well as flexible to adopt it in the real-time scenario. The behavioral analysis of the proposed Auth-PP for the file-token generation system becomes stable with the incremental file size and exhibits a consistency measure (Ct) = 0.56, which is a mean orient pattern that shows strong stability against the file size so quite adaptable for the big data. The computational performance analysis for cost assessment of encryption and decryption process shows 72% performance improvement for running time for variable file sizes and also exhibits the superior outcome of overall 69.9% for file chunking into the data node on the respective cloud. For the decryption process also, it is observed that the formulated approach attains superior performance in terms of time complexity.

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Section: Results and Analysismentioning

confidence: 99%

Layers Based Optimal Privacy Preservation of the On-premise Data Supported by the Dual Authentication and Lightweight on Fly Encryption in Cloud Ecosystem

Kumar¹,

Prabhudeva

2021

Wireless Pers Commun

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“…(Pastaba: lentelės stulpelyje "Nr." pateikiami tirti kitų mokslininkų pasiūlyti metodai [3][4][5][6][7][8][9][10][11][12], o šiame darbe siūlomas metodas atitinka Nr. 13.).…”

Section: Struktūrizuoto Vertinimo Eigaunclassified

Subjekto 2FA skaitmeninio autentifikavimo prie kritinės infrastruktūros informacinės sistemos struktūrizuotas vertinimas

Jurgilas

2021

open-series

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Ypatingos svarbos (kitaip – kritinės) infrastruktūros informacinės sistemos apima svarbiausias visuomenės funkcionavimo sritis, reikalingas įvairių paslaugų teikimui. Šioms sistemoms egzistuoja vis didesnė grėsmė tapti skaitmeninių nusikaltimų ir atakų taikiniu, kadangi jos yra kertinės tiek valstybės, tiek visuomenės atžvilgiu. Viena iš svarbiausių priežasčių, sukeliančių grėsmę šių sistemų saugumui, yra silpna nuotolinės prieigos kontrolė – sistemos naudotojo tapatybės valdymas. Šiame straipsnyje pateikiamas pasiūlytas dviejų faktorių (2FA) skaitmeninio autentifikavimo metodas nuotolinei prieigai prie kritinės infrastruktūros informacinės sistemos ir jo struktūrizuotas kokybinių charakteristikų tyrimas bei vertinimas. Tyrimas buvo atliktas dviem etapais: 1) tiriamos metodo charakteristikos panaudojamumo, dislokavimo ir saugumo kategorijose; 2) atliekama lyginamoji tyrimo rezultatų analizė su kitų mokslininkų siūlomais metodais, šiam tikslui panaudojant skaitinį kokybinių charakteristikų vertinimo metodą. Tyrimo rezultatų pagrindu buvo nustatyta, kad siūlomas autentifikavimo metodas yra kokybiškesnis vertintų kategorijų visumos atžvilgiu.

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“…From Research studies [10] and [11] have investigated dictionary attack, in [10], the proposed scheme depends on the use of multiple techniques to generate a strong password, these techniques include One Time Password (OTP) and multi-factor authentication, the authentication process passes through multiple stages and login activities from both user and cloud server , it include also a secret image from which a part is extracted each time to generate an (OTP). The proposed scheme is evaluated and proved to prevent dictionary attack as well as other attacks.…”

Section: Dictionary Attackmentioning

confidence: 99%

Security Attacks in Cloud Computing and Corresponding Defending Mechanisms

Abusaimeh¹

2020

IJATCSE

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Cloud computing is considered as a rising model that becomes a necessity to accommodate the rapid growth in the use of technology. Cloud computing provides a wide diversity of facilities and services for the users without the need for having expensive computing devices and equipment. A cloud user can utilize remote software, processors, storage without owning them. However, remote access adds more difficulties and problems to cloud users, such as security. Authentication is one of the main security challenges where cloud servers and users need to identify and validate each other to complete the communication process and provide the service. In this study, we mention well-known authentication attacks and we include a number of studies that investigated each attack.

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A Novel Strong Password Generator for Improving Cloud Authentication

Cited by 25 publications

References 19 publications

Layers Based Optimal Privacy Preservation of the On-premise Data Supported by the Dual Authentication and Lightweight on Fly Encryption in Cloud Ecosystem

Layers Based Optimal Privacy Preservation of the On-premise Data Supported by the Dual Authentication and Lightweight on Fly Encryption in Cloud Ecosystem

Subjekto 2FA skaitmeninio autentifikavimo prie kritinės infrastruktūros informacinės sistemos struktūrizuotas vertinimas

Security Attacks in Cloud Computing and Corresponding Defending Mechanisms

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