77 citations · 159 across the 20 of their papers we have counts for
24 papers
Access Control for Information-Theoretically Secure Key-Document Stores
Yin Li, Sharad Mehrota, Shantanu Sharma +1
This paper presents a novel key-based access control technique for secure outsourcing key-value stores where values correspond to documents that are indexed and accessed using keys…
Hiding Access-pattern is Not Enough! Veil: A Storage and Communication Efficient Volume-Hiding Algorithm
Shanshan Han, Vishal Chakraborty, Michael Goodrich +2
This paper addresses volume leakage (i.e., leakage of the number of records in the answer set) when processing keyword queries in encrypted key-value (KV) datasets. Volume leakage,…
Prism: Private Verifiable Set Computation over Multi-Owner Outsourced Databases
Yin Li, Dhrubajyoti Ghosh, Peeyush Gupta +3
This paper proposes Prism, a secret sharing based approach to compute private set operations (i.e., intersection and union), as well as aggregates over outsourced databases belongi…
Concealer: SGX-based Secure, Volume Hiding, and Verifiable Processing of Spatial Time-Series Datasets
Peeyush Gupta, Sharad Mehrotra, Shantanu Sharma +2
This paper proposes a system, entitled Concealer that allows sharing time-varying spatial data (e.g., as produced by sensors) in encrypted form to an untrusted third-party service…
Self-Stabilizing Automatic Repeat Request Algorithms for (Bounded Capacity, Omitting, Duplicating and non-FIFO) Computer Networks
Shlomi Dolev, Ariel Hanemann, Elad Micahel Schiller +1
End-to-end communication over the network layer (or data link in overlay networks) is one of the most important communication tasks in every communication network, including legacy…
Panda: Partitioned Data Security on Outsourced Sensitive and Non-sensitive Data
Sharad Mehrotra, Shantanu Sharma, Jeffrey D. Ullman +2
Despite extensive research on cryptography, secure and efficient query processing over outsourced data remains an open challenge. This paper continues along with the emerging trend…
Quest: Practical and Oblivious Mitigation Strategies for COVID-19 using WiFi Datasets
Peeyush Gupta, Sharad Mehrotra, Nisha Panwar +3
Contact tracing has emerged as one of the main mitigation strategies to prevent the spread of pandemics such as COVID-19. Recently, several efforts have been initiated to track ind…
Obscure: Information-Theoretically Secure, Oblivious, and Verifiable Aggregation Queries on Secret-Shared Outsourced Data -- Full Version
Peeyush Gupta, Yin Li, Sharad Mehrotra +3
Despite exciting progress on cryptography, secure and efficient query processing over outsourced data remains an open challenge. We develop a communication-efficient and informatio…
Canopy: A Verifiable Privacy-Preserving Token Ring based Communication Protocol for Smart Homes
Nisha Panwar, Shantanu Sharma, Guoxi Wang +2
This paper focuses on the new privacy challenges that arise in smart homes. Specifically, the paper focuses on inferring the user's activities -- which may, in turn, lead to the us…
IoT Expunge: Implementing Verifiable Retention of IoT Data
Nisha Panwar, Shantanu Sharma, Peeyush Gupta +3
The growing deployment of Internet of Things (IoT) systems aims to ease the daily life of end-users by providing several value-added services. However, IoT systems may capture and…
IoT Notary: Sensor Data Attestation in Smart Environment
Nisha Panwar, Shantanu Sharma, Guoxi Wang +4
Contemporary IoT environments, such as smart buildings, require end-users to trust data-capturing rules published by the systems. There are several reasons why such a trust is misp…
Smart Home Survey on Security and Privacy
Nisha Panwar, Shantanu Sharma, Sharad Mehrotra +2
Smart homes are a special use-case of the Internet-of-Things (IoT) paradigm. Security and privacy are two prime concern in smart home networks. A threat-prone smart home can reveal…
Verifiable Round-Robin Scheme for Smart Homes
Nisha Panwar, Shantanu Sharma, Guoxi Wang +2
Advances in sensing, networking, and actuation technologies have resulted in the IoT wave that is expected to revolutionize all aspects of modern society. This paper focuses on the…
Partitioned Data Security on Outsourced Sensitive and Non-sensitive Data
Sharad Mehrotra, Shantanu Sharma, Jeffrey D. Ullman +1
Despite extensive research on cryptography, secure and efficient query processing over outsourced data remains an open challenge. This paper continues along the emerging trend in s…
Exploiting Data Sensitivity on Partitioned Data
Sharad Mehrotra, Kerim Yasin Oktay, Shantanu Sharma
Several researchers have proposed solutions for secure data outsourcing on the public clouds based on encryption, secret-sharing, and trusted hardware. Existing approaches, however…
Privacy-Preserving Secret Shared Computations using MapReduce
Shlomi Dolev, Peeyush Gupta, Yin Li +2
Data outsourcing allows data owners to keep their data at \emph{untrusted} clouds that do not ensure the privacy of data and/or computations. One useful framework for fault-toleran…
A Survey on Geographically Distributed Big-Data Processing using MapReduce
Shlomi Dolev, Patricia Florissi, Ehud Gudes +2
Hadoop and Spark are widely used distributed processing frameworks for large-scale data processing in an efficient and fault-tolerant manner on private or public clouds. These big-…
Security and Privacy Aspects in MapReduce on Clouds: A Survey
Philip Derbeko, Shlomi Dolev, Ehud Gudes +1
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 extensiv…
A Survey on 5G: The Next Generation of Mobile Communication
Nisha Panwar, Shantanu Sharma, Awadhesh Kumar Singh
The rapidly increasing number of mobile devices, voluminous data, and higher data rate are pushing to rethink the current generation of the cellular mobile communication. The next…
Computing Marginals Using MapReduce
Foto Afrati, Shantanu Sharma, Jeffrey D. Ullman +1
We consider the problem of computing the data-cube marginals of a fixed order (i.e., all marginals that aggregate over dimensions), using a single round of MapReduce. The f…
Meta-MapReduce: A Technique for Reducing Communication in MapReduce Computations
Foto Afrati, Shlomi Dolev, Shantanu Sharma +1
MapReduce has proven to be one of the most useful paradigms in the revolution of distributed computing, where cloud services and cluster computing become the standard venue for com…
On Detecting Termination in Cognitive Radio Networks
Shantanu Sharma, Awadhesh Kumar Singh
The cognitive radio networks are an emerging wireless communication and computing paradigm. The cognitive radio nodes execute computations on multiple heterogeneous channels in the…
Assignment Problems of Different-Sized Inputs in MapReduce
Foto Afrati, Shlomi Dolev, Ephraim Korach +2
A MapReduce algorithm can be described by a mapping schema, which assigns inputs to a set of reducers, such that for each required output there exists a reducer that receives all t…
Assignment of Different-Sized Inputs in MapReduce
Foto Afrati, Shlomi Dolev, Ephraim Korach +2
A MapReduce algorithm can be described by a mapping schema, which assigns inputs to a set of reducers, such that for each required output there exists a reducer that receives all t…