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Ningrinla Marchang

Researcher at North Eastern Regional Institute of Science and Technology

Publications -  50
Citations -  672

Ningrinla Marchang is an academic researcher from North Eastern Regional Institute of Science and Technology. The author has contributed to research in topics: Cognitive radio & Intrusion detection system. The author has an hindex of 9, co-authored 43 publications receiving 479 citations.

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Journal ArticleDOI

Light-weight trust-based routing protocol for mobile ad hoc networks

TL;DR: A light-weight trust-based routing protocol that takes care of two kinds of attacks, namely, the blackhole attack and the grey hole attack and is incorporated in any routing protocol.
Journal ArticleDOI

Collaborative techniques for intrusion detection in mobile ad-hoc networks

TL;DR: This paper gives the proof of correctness of the first algorithm, which shows that it correctly detects the malicious nodes always when there is no message loss, and shows with the help of simulations that both the algorithms give good performance even when there are message losses arising due to unreliable channel.
Proceedings ArticleDOI

Distributed Off-Chain Storage of Patient Diagnostic Reports in Healthcare System Using IPFS and Blockchain

TL;DR: This work proposes a distributed off-chain storage of medical data using IPFS (Interplanetary File System) and blockchain technology and facilitates easy access of medicalData by authorized entities such as healthcare providers (e.g., doctors and nurses).
Journal ArticleDOI

A Novel Approach for Efficient Usage of Intrusion Detection System in Mobile Ad Hoc Networks

TL;DR: A probabilistic model is proposed, which makes use of cooperation between IDSs among neighborhood nodes to reduce their individual active time and model the interactions betweenIDSs as a multiplayer cooperative game in which the players have partially cooperative and partially conflicting goals.
Journal ArticleDOI

A secured distributed detection system based on IPFS and blockchain for industrial image and video data security

TL;DR: This paper proposes an IPFS-based (InterPlanetary File System-based) decentralized peer-to-peer image and video sharing platform built on top of blockchain technology and uses a perceptual hash (pHash) technique to detect copyright violations of images and videos.