VLDB 2026 Research / reviewers in the wild / expert
Nitesh Kumar Jangid
dblp:322/6995
· DBLP profile ↗
2ranked-venue papers
2as first author
2since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2 · 2 first-author · 2 since 2021
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.
| Network and information security
2 papers |
Systems and software security · 87% Authentication and access control · 13% | |
| Computer networks
1 paper |
Internet of things and sensor networks · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Cloud and datacenter computing · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet of things and sensor networks
iot security |
0.6 | 1 | 2022 | Location-aware IT system security using IoT in multizone · MobiCom 2022 |
Systems and software security
software protection |
0.6 | 1 | 2022 | Protecting software design in cloud using AWS IoT · MobiSys 2022 |
Systems and software security › software protection
source code privacy |
0.6 | 1 | 2022 | Protecting software design in cloud using AWS IoT · MobiSys 2022 |
Authentication and access control
multi-factor authentication |
0.2 | 1 | 2022 | Location-aware IT system security using IoT in multizone · MobiCom 2022 |
Cloud and datacenter computing
cloud security |
0.2 | 1 | 2022 | Protecting software design in cloud using AWS IoT · MobiSys 2022 |
Methods — techniques the papers use, named apart from their topics
zone hashing · 1.1trusted hardware · 1.1hashing · 1.1MAC address hashing · 1.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Location-aware IT system security using IoT in multizoneabstractIn general, GPS receivers cannot be used for indoor settings and multizone infrastructure needs to be configured to create secure zones. Since a user may have different working roles in different zones, therefore, we are proposing here a solution for fixed IT infrastructure using IoT devices, sensors, and IoT cloud services to create a technology-agnostic secure zone in home/business/industry where sensing of natural parameters like location, temperature, pressure, light, images, sound, etc. are used to create a unique hash of a zone. AWS IoT greengrass core device coordinates with all IoT devices/sensors and creates the hash of a zone. MAC address is hashed using zone hash and a unique token for the PC is generated. All PC tokens are mapped with zone ID into the IT system deployed in the cloud and AWS IoT greengrass core device deployed in home/business/industry. This token and biometric a user needs to share during login to decide allowed roles for a user in that zone. Nitesh Kumar Jangid, Mukesh Kumar Gupta |
MobiCom | 1 |
| 2022 | Protecting software design in cloud using AWS IoTabstractEmerging technologies like Cloud Computing, Mobile Computing, IoT, AI, etc. are gaining momentum in the IT community. These novel technologies have changed the way to design secure and expert IT Systems for the future. Over the last decade scripting languages like PHP, Python, etc. are being used to develop applications due to ease of product development with moderate IT skills. Software design is not well protected for scripting languages due to the absence of source code translation. This risk is multifold if the IT System is deployed in a public cloud. The IoT Cloud services like AWS IoT may be used to redesign the security of IT Sytems by incorporating cost-effective and powerful IoT Computers like Raspberry Pi. We are proposing here a solution to protect software design by decoupling application code design and database design using hashing for database-name, table-name, and attribute-name of the application database. Security keys used in hashing are stored on a credit card size IoT Computer on business premises. IoT computer uses a separate AWS IoT secure channel to share the security keys on-demand in the cloud IT System when user logged in and keys are saved in session variable only. This proposal may be considered as adding client-trusted hardware into the public cloud. Nitesh Kumar Jangid, Mukesh Kumar Gupta |
MobiSys | 1 |