Security and Privacy Challenges in Cloud Computing

Abdullah, Salasiah; Bakar, Khairul Azmi Abu

doi:10.1109/cr.2018.8626872

Cited by 7 publications

(3 citation statements)

References 14 publications

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“…The PaaS offers a software development platform to users. Users are responsible for protecting the applications they build and run on their platform 35 . Such platforms include tools for creating, testing and implementing application software, database management systems, middleware and the programming environment that is given by the cloud provider 33 .…”

Section: Cloud Computing Conceptsmentioning

confidence: 99%

A natural human language framework for digital forensic readiness in the public cloud

Baror

Venter

Adeyemi

2020

Australian Journal of Forensic Sciences

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Currently, about half of all global enterprises are adopting and using some form of cloud computing services. In cloud computing, potential digital evidence is distributed across multiple isolated virtual machine instances. Investigating deleted or inactive virtual instances of a cloud is a challenge to digital forensics, and the traditional methods of digital forensics are inadequate to address such digital forensic investigation. Users of the public cloud (whether a potential victim of a cyberattack, a cybercriminal or a digital forensic investigator) inherently communicate using natural human language in the form of sentences and semantics in document messaging such as texts, emails or instant messages. Consequently, natural human language interaction provides a unique identifier for cloud users. This study leverages the natural human language as an identifier to develop a novel digital forensic readiness (DFR) framework for cloud computing to detect cybercrime. The DFR framework comprises the integration of natural language processing techniques in designing a process that mimics a near real-time approach towards cybercrime detection in a cloud environment. Natural language understanding techniques are used to analyse textdata of users in the public cloud and textdata of reported cybercrimes to develop a DFR framework. In the preliminary formation of the DFR framework, the output shows that cybercrime attacks that are in progress in the form of textdata such as online documents, instant messages or emails within an organizational cloud domain can be identified, and potentially investigated swiftly, using the unique signature of users as identifiers. When adopted, the proposed DFR framework can minimize the time lapses in incident identification and reduce the subsequent investigation time of cybercrimes in the public cloud domain.

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Section: Cloud Computing Conceptsmentioning

confidence: 99%

A natural human language framework for digital forensic readiness in the public cloud

Baror

Venter

Adeyemi

2020

Australian Journal of Forensic Sciences

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“…The approach used the multiple authority attribute based control access by using the dynamic location of the users and embedding it as a one attribute in computation of key and distributing the parameters over the set of users in cloud environment. Prosanta Gope and Ashok Kumar Das [7] proposed the manual authentication scheme for mobile users and cloud service providers by providing their legitimacy to enrich the confidence of the mobile users for using the services provided by the cloud, where n value depends on the level of the user paid for.…”

Section: Related Workmentioning

confidence: 99%

Secured Processing o f Data Over Cloud u sing Disjoint Multi Attribute Authority Scheme f or Key Generation

Banasode*,

Padmannavar

2020

IJITEE

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Cloud computing being the extensive technology used across globe for data sharing. The data may vary from small file to a highly confidential file consisting of various sensitive information stored in it. Since the cloud services are provided by the third party vendors, users are very much concerned about the security and privacy of the data and data access details. The users wants their traceability to be hidden by the cloud vendors. The biggest challenge is to share the data in a most secured way by encrypting and also preserving the anonymity of the users in cloud from the vendors. This paper addresses the issue by proposing a multi attribute authority in key generations of users, where the few sub sets of attributes will be used by multiple attribute authorities randomly and hence masking of the selection of attributes from various authorities and providing a mechanism for efficient data distribution in cloud by preserving the anonymity of the users.

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“…Based on the Korea national defense information system and they have insight the security requirements needs. In 2018, Abdullah and Bakar [15] suggested that the cloud computing provides an intermediate act for providing the virtualization synergy support. They have also suggested that the security in case of data storage is a bigger challenge in case of cloud computing.…”

Section: Related Workmentioning

confidence: 99%

An automated cloud security framework based on FCM in user-cloud environment

Soni¹,

Kumar²

2019

IJEAT

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In this paper an efficient secure cloud computing framework has been developed. This framework consists of data grouping based on fuzzy c-means (FCM). It has been used for the individual and associative rankings of uploaded text data on the cloud. For the decision selection ranking of the data simple additive weighting (SAW) method have been used. For data security RC6, RSA and AES algorithms have been used collectively and individually based on the condition. RC6, AES and RSA algorithms have been used as a combination for the complex key security. Based on the decision performance rankingtop higher rank which supports are >=50% adopted all the three security algorithms, only one key is applied for the remaining data. The maximum number of keys applied is 5 but there are total three key variants mainly applicable. So we have considered three keys. It has been clear from our results that the keys spreading are automatically increased on the basis of number of files. So in case of high risk the keys are increased automatically and applied.

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Security and Privacy Challenges in Cloud Computing

Cited by 7 publications

References 14 publications

A natural human language framework for digital forensic readiness in the public cloud

A natural human language framework for digital forensic readiness in the public cloud

Secured Processing o f Data Over Cloud u sing Disjoint Multi Attribute Authority Scheme f or Key Generation

An automated cloud security framework based on FCM in user-cloud environment

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