Ensuring data storage security in Cloud Computing

By Rampal Singh, Sawan Kumar, Shani Kumar Agrahari. International Workshop on Quality of Service, 2009

1,111 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/17ef8f79a392ad8553144cb8a1a40595671d8521

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Citations in the corpus

An analysis of security issues for cloud computing (2013, background): “T06 VM escape It is designed to exploit the hypervisor in order to take control of the underlying infrastructure [24,61].”
Enabling Public Verifiability and Data Dynamics for Storage Security in Cloud Computing (2009, background): “Recently, much of growing interest has been pursued in the context of remotely stored data veriﬁcation [1–9, 11, 13–15].”
Security issues in cloud environments: a survey (2014, background): “[292] said that storage security has always been an important aspect of the Quality of Service (QoS).”
Privacy-Preserving Public Auditing for Secure Cloud Storage (2013, neutral): “In [20], Wang et al.”
A survey on security issues in service delivery models of cloud computing (2011, background): “This unique attribute, however, poses many new security challenges (Cong Wang et al., 2009).”
A survey on gaps, threat remediation challenges and some thoughts for proactive attack detection in cloud computing (2012, methodology): “In making an inference from the already cited research (Archer et al., 2010; Dahbur et al., 2011; Wang et al., 2009; Wrenn, 2010) we need to be aware about Lacey‟s (2010) criticism that this type of threat is too general to any network security issues.”
An intrusion detection and prevention system in cloud computing: A systematic review (2013, background): “But, cloud service providers are not willing to provide the security log, audit data and security practices [72].”
Data Security and Privacy Protection Issues in Cloud Computing (2012, background): “Cong Wang proposed a mathematical way to verify the integrity of the data dynamically stored in the cloud [16].”
Cloud Computing Security: From Single to Multi-clouds (2012, background): “Moving databases to a large data centre involves many security challenges [55] such as virtualization vulnerability, accessibility vulnerability, privacy and control issues related to data accessed from a third party, integrity, confidentiality, and data loss or theft.”
A Survey on Security Issues in Cloud Computing (2011, methodology): “A similar technique providing data storage security, utilizing the homo-morphic token with distributed verification of erasure-coded data has been discussed in [21].”
Panda: Public Auditing for Shared Data with Efficient User Revocation in the Cloud (2015, methodology): “However, as we defined in Game 1, at least one of element in fDaig1 i d is nonzero, and gi is a random element ofZp, therefore, the denominator is zero with a probability of 1=p, which is negligible because p is a large prime.”
A survey on security issues and solutions at different layers of Cloud computing (2012, neutral): “Authors in [42] presented approach for verifying dynamic data and s ecuring data storage against adversary.”
A Privacy-Preserving Remote Data Integrity Checking Protocol with Data Dynamics and Public Verifiability (2011, background): “Recently, many works [1], [3], [4], [5], [6], [7], [8], [9], [13], [14], [15] focus on providing three advanced features for remote data integrity checking protocols: data dynamics [5], [6], [8], [14], public verifiability [3], [8], [9], [14], and privacy against verifiers [9], [14].”