SecDM: Securing Data Migration between Cloud Storage Systems

Shen, Qingni; Zhang, Lizhe; Yang, Xin; Yang, Yanxi; Wu, Zhonghai; Zhang, Ying

doi:10.1109/dasc.2011.114

Cited by 17 publications

(16 citation statements)

References 8 publications

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“…The research work done in this area is still in embryonic stage over the past few years. In the paper [2], an approach has been proposed to migrate data on cloud servers through the combined use of cryptography and steganography. In cryptography process, a simple yet effective technique was used for data encryption using one's complement method which is called as SCMACS (Secure Cloud Migration Architecture using Cryptography and Steganography).…”

Section: Literature Surveymentioning

confidence: 99%

“…Security in transmission of the data is another major issue where the data could be to expose and compromised. Hence, it is very important to have mechanisms that enable users to securely migrate the data from one CSP to another CSP [2]. Four security issues mainly concerned for data migration are: Authentication, Confidentiality, Integrity and Authorization.…”

Section: Introductionmentioning

confidence: 99%

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Data Migration Techniques in Cloud

2018

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Cloud computing is a trending paradigm that combines several computing concepts and technologies of the Internet to create a platform for more agile, cost effective and reliable model for the public users, business applications and IT infrastructure. There are various requirements that need to be addressed by Cloud Service Provider (CSP) for enabling the cloud services to the users such as security, performance, availability, integrity, customization with minimal cost. If any of these requirements are not met, then the user wishes to switch from current CSP to a new CSP. To achieve that the user has to download all the digital assets, services, IT resources and applications from one CSP and upload into another CSP. This process has many issues like security, vendor management, technical integration, requirement of time and energy resources, etc; here we propose a secure data migration technique to migrate the data from one cloud storage system to another cloud storage system. Index Terms-Data migration, database, relational database, data type, relational database management system.

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Section: Literature Surveymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Data Migration Techniques in Cloud

2018

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“…• Between public clouds: A MapReduce computation may be executed in more than one public cloud [97]. In that case, data flow may occur between two master processes at two different clouds, between two mappers at two different clouds, between two reducers at two different clouds, and a mapper and a reducer at two different clouds.…”

Section: Security and Privacy Challenges In Mapreducementioning

confidence: 99%

“…Apache Accumulo is built on top of Apache Hadoop, Zookeeper, and Thrift. [3] M 8 Apache Sentry [4] S Apache Ranger [4] M Project Rhino [5] S Apache Accumulo [6] S Airavat [92] S Khaled et al [57] Vigiles [109] GuardMR [107] G-Hadoop [135] SecDM [97] M iBigTable [119] Lin et al [64] S 9 10 SAPSC [96] M ClusterBFT [99] S, H 11 Moca et al [76] SecureMR [118] S AccountableMR [123] S VIAF [115] S CCMR [116] M IntegrityMR [117] M VAWS [39] S Hatman [58] S 12 TrustMR [108] S TS-TRV [38] S Log-based [125] S Watermarking based [53,37] S Accountable MapReduce (RBAC) [110] S Airavat. Airavat [92] is a system that provides mandatory access control together with differential privacy for data protection.…”

Section: Authentication Authorization and Access Control Based Apprmentioning

confidence: 99%

“…SecDM. Secure Data Migration (SecDM) [97] provides a secure way for data transmission among mappers-reducers at two different clouds. The two master processes, which are located at two different clouds, create a Secure Socket Layer (SSL) connection between them, then send message authentication code with a timestamp and negotiate a random key.…”

Section: An Encryption-decryption Based Approach For Data Transmissionmentioning

confidence: 99%

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Security and privacy aspects in MapReduce on clouds: A survey

Derbeko

Dolev

Gudes

et al. 2016

Computer Science Review

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MapReduce is a programming system for distributed processing large-scale data in an efficient and fault tolerant manner on a private, public, or hybrid cloud. MapReduce is extensively used daily around the world as an efficient distributed computation tool for a large class of problems, e.g., search, clustering, log analysis, different types of join operations, matrix multiplication, pattern matching, and analysis of social networks. Security and privacy of data and MapReduce computations are essential concerns when a MapReduce computation is executed in public or hybrid clouds. In order to execute a MapReduce job in public and hybrid clouds, authentication of mappers-reducers, confidentiality of data-computations, integrity of data-computations, and correctness-freshness of the outputs are required. Satisfying these requirements shield the operation from several types of attacks on data and MapReduce computations. In this paper, we investigate and discuss security and privacy challenges and requirements, considering a variety of adversarial capabilities, and characteristics in the scope of MapReduce. We also provide a review of existing security and privacy protocols for MapReduce and discuss their overhead issues.

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