What is he best known for?
The fields of study he is best known for:
- Computer network
- Operating system
- The Internet
Salil S. Kanhere mainly focuses on Computer network, Computer security, Participatory sensing, Wireless sensor network and Wireless.
His research integrates issues of Home automation, Distributed computing and The Internet in his study of Computer network.
He interconnects Cloud computing and Blockchain in the investigation of issues within Home automation.
Salil S. Kanhere studies Computer security, namely Information privacy.
His Wireless sensor network research is multidisciplinary, relying on both Key distribution in wireless sensor networks, Wireless network, Real-time computing and Mesh networking.
His study in Wireless is interdisciplinary in nature, drawing from both Embedded system, Telecommunications service and Communications system.
His most cited work include:
- Blockchain for IoT security and privacy: The case study of a smart home (716 citations)
- Ear-phone: an end-to-end participatory urban noise mapping system (580 citations)
- The holes problem in wireless sensor networks: a survey (370 citations)
What are the main themes of his work throughout his whole career to date?
Salil S. Kanhere mostly deals with Computer network, Computer security, Blockchain, Real-time computing and Distributed computing.
His research is interdisciplinary, bridging the disciplines of The Internet and Computer network.
His work on Access control and Information privacy as part of his general Computer security study is frequently connected to Participatory sensing, thereby bridging the divide between different branches of science.
His work carried out in the field of Blockchain brings together such families of science as Security analysis, Cryptocurrency and Smart grid.
His Real-time computing research incorporates elements of Wireless, Energy consumption, Embedded system and Base station.
His Distributed computing research is multidisciplinary, incorporating elements of Deficit round robin, Interoperability and Packet switching.
He most often published in these fields:
- Computer network (31.61%)
- Computer security (23.28%)
- Blockchain (16.95%)
What were the highlights of his more recent work (between 2019-2021)?
- Computer security (23.28%)
- Blockchain (16.95%)
- Scalability (7.47%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Computer security, Blockchain, Scalability, Distributed computing and Wireless.
His Computer security study integrates concerns from other disciplines, such as Overhead and Verifiable secret sharing.
His Blockchain study also includes fields such as
- Data integrity which intersects with area such as Data management,
- Access control most often made with reference to Information sensitivity.
His research in Scalability intersects with topics in Peer-to-peer, Transaction processing, Cyberphysical systems, Timestamp and Smart grid.
His Distributed computing research incorporates themes from Distributed generation and Efficient energy use.
The Wireless study combines topics in areas such as Emergency light and Backbone network.
Between 2019 and 2021, his most popular works were:
- A Survey of COVID-19 Contact Tracing Apps (115 citations)
- B-FERL: Blockchain based framework for securing smart vehicles (32 citations)
- B-FERL: Blockchain based framework for securing smart vehicles (32 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Operating system
- The Internet
Salil S. Kanhere focuses on Blockchain, Computer security, Scalability, Key and Distributed computing.
His Blockchain study incorporates themes from Certificate, Data integrity, Systems architecture and Usability.
Salil S. Kanhere integrates several fields in his works, including Computer security and Leverage.
His Scalability research integrates issues from Smart environment, Peer-to-peer, Cryptocurrency, Transaction processing and Security analysis.
His biological study spans a wide range of topics, including Tracing, Internet privacy and Vulnerability.
The Distributed computing study combines topics in areas such as Cyberphysical systems and Data structure.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
