EncryScation: A novel framework for cloud IaaS, DaaS security using encryption and Obfuscation techniques

Suthar, Krunal; Patel, Jayesh D.

doi:10.1109/nuicone.2015.7449636

Cited by 7 publications

(5 citation statements)

References 7 publications

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“…Encryption is carried out on the alphanumeric characters and the alphanumeric data type, and the numeric type is obfuscated only [21]. Specifically, encryption helps the user to provide confidentiality for his data when it is transmitted over the network, and data jamming helps the service provider secure the user's data in rest mode [22]. This model provides an enhancement in data confidentiality.…”

Section: Existing Solutions To Secure the Cloudmentioning

confidence: 99%

Data Migration Need, Strategy, Challenges, Methodology, Categories, Risks, Uses with Cloud Computing, and Improvements in Its Using with Cloud Using Suggested Proposed Model (DMig 1)

Hussein¹

2021

JIS

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Data Migration is a multi-step process that begins with analyzing old data and culminates in data uploading and reconciliation in new applications. With the rapid growth of data, organizations constantly need to migrate data. Data migration can be a complex process as testing must be done to ensure data quality. Migration also can be very costly if best practices are not followed and hidden costs are not identified in the early stage. On the other hand, many organizations today instead of buying IT equipment (hardware and/or software) and managing it themselves, they prefer to buy services from IT service providers. The number of service providers is increasing dramatically and the cloud is becoming the preferred tool for more cloud storage services. However, as more information and personal data are transferred to the cloud, to social media sites, DropBox, Baidu WangPan, etc., data security and privacy issues are questioned. So, academia and industry circles strive to find an effective way to secure data migration in the cloud. Various resolving methods and encryption techniques have been implemented. In this work, we will try to cover many important points in data migration as Strategy, Challenges, Need, methodology, Categories, Risks, and Uses with Cloud computing. Finally, we discuss data migration security and privacy challenge and how to solve this problem by making improvements in it's using with Cloud through suggested proposed model that enhances data security and privacy by gathering Advanced Encryption Standard-256 (ATS256), Data Dispersion Algorithms and Secure Hash Algorithm-512. This model achieves verifiable security ratings and fast execution times.How to cite this paper: Hussein, A.A.

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Section: Existing Solutions To Secure the Cloudmentioning

confidence: 99%

Data Migration Need, Strategy, Challenges, Methodology, Categories, Risks, Uses with Cloud Computing, and Improvements in Its Using with Cloud Using Suggested Proposed Model (DMig 1)

Hussein¹

2021

JIS

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“…This problem mainly occurred in the wireless network directly communicate the request through the centralized server without any auditing. The cloud agent providers access the data services security to obtain the protocols by inter cloud representation [19]. The adaptive concession rate (ACR) and minimal sufficient concession (MSC) both the method are to negotiate the security rule [20].…”

Section: Related Workmentioning

confidence: 99%

Cloud Data Security in Multi Model Attributes For Randomized Key Service Using Encryption Techniques

S.Noordeen¹

2021

TURCOMAT

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The growing size of information, security became the risk of access from centralized resource providers deploy them into cloud, where authorized users could access them. The nearly combined nature of cloud environment does not yet allow users to perceive the cloud resources and services in a split second. At the same time, they are upgrading. Also, attribute based encryption techniques are used towards the security development in few methods. Also, profile based approaches are used which uses different encryption keys according to user profile. However, all the methods suffer to achieve higher performance in datasecurity. To solve this issue and to improve the security performance, an efficient Service LevelAttributeBasedEncryption (SLABE)ispresented.Inthisapproach,themethoduses different key set of different services. For each attribute, the method maintains different keys for various services. According to the key belongs to the attributes and service, the method performs encryption and decryption. The method improves the performance in security and increases the throughput aswell. Further to improve the security performance, a multi attribute randomized key Service Level Encryption (MARK-SLE) scheme has been presented. In this approach, the method classifies the service and for each service, the method generates different key set according to the attributes accessed. The method selects the keys in a randomized approach and chooses the keys at different time session. Generated key has been used to perform encryption or decryption where the schemes of encryption also selected in a random manner. The proposed MARK-SLE algorithm improves the security performance than previous SLABEalgorithm. Third, a Service Level Scheduler Based Encryption (SLSBE) Scheme is presented. In this approach, the security in service level and scheduling strategy is considered. For each service available, the method maintains the set of attributes being accessed. For each level of service and attributes, the method uses different keys and encryption standards. At the reception of user request, the method identifies the service claimed and set of attributes.

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“…Another approach is to combine Encryption and Obfuscation [18,19]. Encryption is done on alphabets and alphanumeric type of data, and obfuscation only to the numeric type of data [18].…”

Section: Existing Solutions and Prior Workmentioning

confidence: 99%

“…Encryption is done on alphabets and alphanumeric type of data, and obfuscation only to the numeric type of data [18]. Specifically, encryption helps a user to provide secrecy to its data when it is transferred in the network, and data obfuscation helps the service provider to secure the user's data at rest [19]. This model provides an improvement of data confidentiality.…”

Section: Existing Solutions and Prior Workmentioning

confidence: 99%

Security Enhancement for Data Migration in the Cloud

Sighom

You

2017

Future Internet

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In today's society, cloud computing has significantly impacted nearly every section of our lives and business structures. Cloud computing is, without any doubt, one of the strategic directions for many companies and the most dominating infrastructure for enterprises as long as end users. Instead of buying IT equipment (hardware and/or software) and managing it themselves, many organizations today prefer to buy services from IT service providers. The number of service providers increase dramatically and the cloud is becoming the tools of choice for more cloud storage services. However, as more personal information and data are moved to the cloud, into social media sites, DropBox, Baidu WangPan, etc., data security and privacy issues are questioned. Daily, academia and industry seek to find an efficient way to secure data migration in the cloud. Various solution approaches and encryption techniques have been implemented. In this work, we will discuss some of these approaches and evaluate the popular ones in order to find the elements that affect system performance. Finally, we will propose a model that enhances data security and privacy by combining Advanced Encryption Standard-256, Information Dispersal Algorithms and Secure Hash Algorithm-512. Our protocol achieves provable security assessments and fast execution times for medium thresholds.

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EncryScation: A novel framework for cloud IaaS, DaaS security using encryption and Obfuscation techniques

Cited by 7 publications

References 7 publications

Data Migration Need, Strategy, Challenges, Methodology, Categories, Risks, Uses with Cloud Computing, and Improvements in Its Using with Cloud Using Suggested Proposed Model (DMig 1)

Data Migration Need, Strategy, Challenges, Methodology, Categories, Risks, Uses with Cloud Computing, and Improvements in Its Using with Cloud Using Suggested Proposed Model (DMig 1)

Cloud Data Security in Multi Model Attributes For Randomized Key Service Using Encryption Techniques

Security Enhancement for Data Migration in the Cloud

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