P. Varalakshmi

dblp:01/891 · DBLP profile ↗
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7ranked-venue papers
1as first author
0since 2021 · last 2020
0000-0003-2913-8807ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 2Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1 · 1 first-authorSoftware engineering, systems software and programming languages · 1Databases, data management, data science and information retrieval · 1Human-computer interaction and ubiquitous computing · 1Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Storage systems · 67% Cloud and datacenter computing · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cloud and datacenter computing › cloud storage
cloud storage auditing
0.412020
Enabling Ternary Hash Tree Based Integrity Verification for Secure Cloud Data Storage · IEEE Trans. Knowl. Data Eng. 2020
Storage systems
data auditing
0.412020
Enabling Ternary Hash Tree Based Integrity Verification for Secure Cloud Data Storage · IEEE Trans. Knowl. Data Eng. 2020
Storage systems
storage reliability
0.412020
Enabling Ternary Hash Tree Based Integrity Verification for Secure Cloud Data Storage · IEEE Trans. Knowl. Data Eng. 2020

Methods — techniques the papers use, named apart from their topics

third party auditor · 0.4ternary hash tree · 0.4replica-based ternary hash tree · 0.4
YearPublicationVenuePosition
2020 Enabling Ternary Hash Tree Based Integrity Verification for Secure Cloud Data Storage
abstract
Cloud Computing enables the remote users to access data, services, and applications in on-demand from the shared pool of configurable computing resources, without the consideration of storage, hardware, and software management. On the other hand, it is not easy for cloud users to identify whether Cloud Service Provider's (CSP) tag along with the data security legal expectations. So, cloud users could not rely on CSP's in terms of trust. So, it is significant to build a secure and efficient data auditing framework for increasing and maintaining cloud users trust with CSP. Researchers suggested introducing Third Party Auditor (TPA) on behalf of cloud user for verifying the outsourced data integrity, which may reduce the computation overhead of cloud users. In this work, we proposed a novel integrity verification framework for securing cloud storage based on Ternary Hash Tree (THT) and Replica based Ternary Hash Tree (R-THT), which will be used by TPA to perform data auditing. Differing from existing work, the proposed framework performs Block-level, File-level and Replica-level auditing with tree block ordering, storage block ordering for verifying the data integrity and ensuring data availability in the cloud. We further extend our framework to support error localization with data correctness, dynamic updates with block update, insert, and delete operations in the cloud. The structure of THT and R-THT will reduce the computation cost and provide efficiency in data updates compared to the existing schemes. The security analysis of the proposed public auditing framework indicates the achievement of desired properties and performance has been evaluated with the detailed experiment set. The results show that the proposed secure cloud auditing framework is highly secure and efficient in storage, communication, and computation costs.
M. Thangavel 0001, P. Varalakshmi
IEEE Trans. Knowl. Data Eng.2
2018 Generation of Image Caption Using CNN-LSTM Based Approach
S. Aravindkumar, P. Varalakshmi, M. Hemalatha
ISDA (1)2
2015 Secure file storage and retrieval in cloud
abstract
Security in cloud storage is an important aspect of cloud computing. In this paper, a novel multi-level encryption scheme which ensures security in cloud is introduced. In this scheme, a modified RSA (MRSA) key generation algorithm is used to generate the phase keys. The file is first subjected to encryption using MRSA with phase public keys. For secure transmission, a modified Vernam cipher (MVC) is applied to the file and stored in the cloud. Upon request, the file is obtained by applying inverse MVC followed by MRSA decryption using the phase private keys. This scheme was tested on different types of input files. The proposed algorithms protect the system from brute force attack. The MRSA's computational time is significantly less compared to the traditional RSA algorithm. Frequency and spectral analysis proves that MVC is strong and effective. Thus the new scheme ensures both confidentiality and integrity.
M. Thangavel 0001, P. Varalakshmi, Mukund Murrali, K. Nithya
Int. J. Inf. Comput. Secur.2
2015 An Enhanced and Secured RSA Key Generation Scheme (ESRKGS)
M. Thangavel 0001, P. Varalakshmi, Mukund Murrali, K. Nithya
J. Inf. Secur. Appl.2
2014 An Optimal Constraint Based Web Service Composition Using Intelligent Backtracking
M. SureshKumar, P. Varalakshmi
J. Web Eng.2
2013 Thwarting DDoS attacks in grid using information divergence
P. Varalakshmi, S. Thamarai Selvi
Future Gener. Comput. Syst.1
2012 QoS Monitoring and Dynamic Trust Establishment in the Cloud
Ashok Chandrasekar, Karthik Chandrasekar 0002, Malairaja Mahadevan, P. Varalakshmi
GPC4