Depot: Cloud Storage with Minimal Trust

By Prince Mahajan, Srinath T. V. Setty, Sangmin Lee, Allen Clement, Lorenzo Alvisi, M. Dahlin, Michael Walfish. TOCS, 2010

336 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/39743faabd9679278c4285a9aa936f78176a1821

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

In Information Systems

Citations in the corpus

P3: Toward Privacy-Preserving Photo Sharing (2013, neutral): “Tangentially related is a body of work in the computer systems community on ensuring other forms of privacy: secure distributed storage systems [23, 37, 11], and privacy and anonymity for mobile systems [19, 26, 16].”
Making Geo-Replicated Systems Fast as Possible, Consistent when Necessary (2012, neutral): “The intuition behind RedBlue consistency is that blue operations execute locally and are lazily replicated in an eventually consistent manner [9, 25, 38, 26, 12, 33, 34].”
Verifying computations with state (2013, background): “The technique’s power is that given a name for data, the client can check that the returned block is correct, in the sense of being consistent with its name.”
Verifying computations without reexecuting them (2015, background): “Finally, SPs are black boxes, so faults—which can include misconfigurations, corruption of data in storage or transit, hardware problems, malicious operation, and more [33]—are unlikely to be detectable.”
Resolving the conflict between generality and plausibility in verified computation (2013, neutral): “storage [17, 18, 36, 38], to handle computations with sideeffects.”
Scalable and Private Media Consumption with Popcorn (2016, background): “We make the same assumption and hence do not consider this issue further in Popcorn.”
T-SGX: Eradicating Controlled-Channel Attacks Against Enclave Programs (2017, background): “More critically, sensitive operations are often executed on potentially malicious clients [13] [36] [41], which significantly weakens the overall, end-to-end security of the system.”
zkLedger: Privacy-Preserving Auditing for Distributed Ledgers (2018, background): “There are many systems which compute on encrypted data to protect user confidentiality in the event of a server compromise [25, 31, 32, 40, 43, 44, 50].”
On Omitting Commits and Committing Omissions: Preventing Git Metadata Tampering That (Re)introduces Software Vulnerabilities (2016, background): “Other work, such as Depot [28], focuses on recovering from forks in an automatic fashion (i.e., not only detecting forks, but also repairing after they are detected).”
DepSky: dependable and secure storage in a cloud-of-clouds (2011, neutral): “Depot improves the resilience of cloud storage making similar assumptions to D EP S KY , that storage clouds are fault-prone black boxes [Mahajan 2010].”
Cloud Computing Security: From Single to Multi-clouds (2012, background): “believe that cloud storages face many risks [30].”
CryptDB: protecting confidentiality with encrypted query processing (2011, methodology): “One approach to reduce the damage caused by server compromises is to encrypt sensitive data, as in SUNDR [28], SPORC [16], and Depot [30], and run all computations (application logic) on clients.”