SEMMA: Secure Efficient Memory Management Approach in Virtual Environment

Chen, Xian; Chen, Wenzhi; Peng, Long; Lu, Zhongyong; Wang, Zonghui

doi:10.1109/cbd.2013.32

Cited by 3 publications

(2 citation statements)

References 13 publications

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“…Chen et al [16] proposed a group-based secure page sharing model (or GSKSM), in which both VM processes and normal processes are considered. And its implementation has been done successfully in Linux kernel 3.6.6, and the results of experiments reveal that it performs better with the overhead reduced.…”

Section: Literature Reviewmentioning

confidence: 99%

A Secure Method for Managing Data in Cloud Storage using Deduplication and Enhanced Fuzzy Based Intrusion Detection Framework

A¹

2020

IJMTST

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Cloud services increase data availability so as to offer flawless service to the client. Because of increasing data availability, more redundancies and more memory space are required to store such data. Cloud computing requires essential storage and efficient protection for all types of data. With the amount of data produced seeing an exponential increase with time, storing the replicated data contents is inevitable. Hence, using storage optimization approaches becomes an important pre-requisite for enormous storage domains like cloud storage. Data deduplication is the technique which compresses the data by eliminating the replicated copies of similar data and it is widely utilized in cloud storage to conserve bandwidth and minimize the storage space. Despite the data deduplication eliminates data redundancy and data replication; it likewise presents significant data privacy and security problems for the end-user. Considering this, in this work, a novel security-based deduplication model is proposed to reduce a hash value of a given file size and provide additional security for cloud storage. In proposed method the hash value of a given file is reduced employing Distributed Storage Hash Algorithm (DSHA) and to provide security the file is encrypted by using an Improved Blowfish Encryption Algorithm (IBEA). This framework also proposes the enhanced fuzzy based intrusion detection system (EFIDS) by defining rules for the major attacks, thereby alert the system automatically. Finally the combination of data exclusion and security encryption technique allows cloud users to effectively manage their cloud storage by avoiding repeated data encroachment. It also saves bandwidth and alerts the system from attackers. The results of experiments reveal that the discussed algorithm yields improved throughput and bytes saved per second in comparison with other chunking algorithms.

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Section: Literature Reviewmentioning

confidence: 99%

A Secure Method for Managing Data in Cloud Storage using Deduplication and Enhanced Fuzzy Based Intrusion Detection Framework

A¹

2020

IJMTST

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“…Study on memory management approach in virtual environment by xian chen et al [4] has revealed many things like page sharing which was mostly implemented by self sharing whose rate varies between platforms. Page size has also significant influence on Linux than windows platform.…”

Section: Related Workmentioning

confidence: 99%

Secure and efficient design and implementation of out-of-band storage virtualization

Kumar

2015

2015 IEEE International Advance Computing Conference (IACC)

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Storage virtualization is the mo the industry due to its importance. Now a d more import, to hold and to extract nee Datacenter become an integral part of any o management too. For best and efficient result storage utilization and management we n network (SAN). In the environment of S compatibility issue with the different vendors so we are going for storage virtualization. Sto is applied in SAN environment. The classica achieve storage virtualization is suffering fro like improper disk utilization, high latency, po different attacks and security issues. In this pa implement storage virtualization technique E yield in terms of security, high throughput, eff and least latency. Through the security and pe we show that our method is secure and efficien Keywords-storage, virtualisation, out-of-ba provisioning, power management, memory mana

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PCA: Page Correlation Aggregation for Memory Deduplication in Virtualized Environments

Zhu

Zhang

2018

Lecture Notes in Computer Science

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SEMMA: Secure Efficient Memory Management Approach in Virtual Environment

Cited by 3 publications

References 13 publications

A Secure Method for Managing Data in Cloud Storage using Deduplication and Enhanced Fuzzy Based Intrusion Detection Framework

A Secure Method for Managing Data in Cloud Storage using Deduplication and Enhanced Fuzzy Based Intrusion Detection Framework

Secure and efficient design and implementation of out-of-band storage virtualization

PCA: Page Correlation Aggregation for Memory Deduplication in Virtualized Environments

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