activity
20182023
most cited6G Communication Technology: A Vision on Intelligent Healthcare

107 citations · 274 across the 15 of their papers we have counts for

collaborators

15 papers

cs.DB2023

KmerCo: A lightweight K-mer counting technique with a tiny memory footprint

Sabuzima Nayak, Ripon Patgiri

K-mer counting is a requisite process for DNA assembly because it speeds up its overall process. The frequency of K-mers is used for estimating the parameters of DNA assembly, erro…

cs.DC2021

A Review on Edge Analytics: Issues, Challenges, Opportunities, Promises, Future Directions, and Applications

Sabuzima Nayak, Ripon Patgiri, Lilapati Waikhom +1

Edge technology aims to bring Cloud resources (specifically, the compute, storage, and network) to the closed proximity of the Edge devices, i.e., smart devices where the data are…

cs.DS2021

countBF: A General-purpose High Accuracy and Space Efficient Counting Bloom Filter

Sabuzima Nayak, Ripon Patgiri

Bloom Filter is a probabilistic data structure for the membership query, and it has been intensely experimented in various fields to reduce memory consumption and enhance a system'…

cs.CR2021★ 5 cited

DeepBF: Malicious URL detection using Learned Bloom Filter and Evolutionary Deep Learning

Ripon Patgiri, Anupam Biswas, Sabuzima Nayak

Malicious URL detection is an emerging research area due to continuous modernization of various systems, for instance, Edge Computing. In this article, we present a novel malicious…

cs.NI2020★ 21 cited

6G Communications: A Vision on the Potential Applications

Sabuzima Nayak, Ripon Patgiri

6G communication technology is a revolutionary technology that will revolutionize many technologies and applications. Furthermore, it will be truly AI-driven and will carry on inte…

cs.NI2020★ 107 cited

6G Communication Technology: A Vision on Intelligent Healthcare

Sabuzima Nayak, Ripon Patgiri

6G is a promising communication technology that will dominate the entire health market from 2030 onward. It will dominate not only health sector but also diverse sectors. It is exp…

cs.DC2020

A Survey on Large Scale Metadata Server for Big Data Storage

Ripon Patgiri, Sabuzima Nayak

Big Data is defined as high volume of variety of data with an exponential data growth rate. Data are amalgamated to generate revenue, which results a large data silo. Data are the…

cs.DC2020★ 6 cited

Big Computing: Where are we heading?

Sabuzima Nayak, Ripon Patgiri, Thoudam Doren Singh

This paper presents the overview of the current trends of Big data against the computing scenario from different aspects. Some of the important aspect includes the Exascale, the co…

cs.NI2020

A Review on Impact of Bloom Filter on Named Data Networking: The Future Internet Architecture

Sabuzima Nayak, Ripon Patgiri, Angana Borah

Today is the era of smart devices. Through the smart devices, people remain connected with systems across the globe even in mobile state. Hence, the current Internet is facing scal…

eess.SP2020★ 63 cited

6G Communication: Envisioning the Key Issues and Challenges

Sabuzima Nayak, Ripon Patgiri

In 2030, we are going to evidence the 6G mobile communication technology, which will enable the Internet of Everything. Yet 5G has to be experienced by people worldwide and B5G has…

cs.DS2019★ 3 cited

Shed More Light on Bloom Filter's Variants

Ripon Patgiri, Sabuzima Nayak, Samir Kumar Borgohain

Bloom Filter is a probabilistic membership data structure and it is excessively used data structure for membership query. Bloom Filter becomes the predominant data structure in app…

cs.LG2019★ 5 cited

Machine Learning: A Dark Side of Cancer Computing

Ripon Patgiri, Sabuzima Nayak, Tanya Akutota +1

Cancer analysis and prediction is the utmost important research field for well-being of humankind. The Cancer data are analyzed and predicted using machine learning algorithms. Mos…

cs.DS2019★ 5 cited

scaleBF: A High Scalable Membership Filter using 3D Bloom Filter

Ripon Patgiri, Sabuzima Nayak, Samir Kumar Borgohain

Bloom Filter is extensively deployed data structure in various applications and research domain since its inception. Bloom Filter is able to reduce the space consumption in an orde…

cs.DB2019★ 30 cited

Role of Bloom Filter in Big Data Research: A Survey

Ripon Patgiri, Sabuzima Nayak, Samir Kumar Borgohain

Big Data is the most popular emerging trends that becomes a blessing for human kinds and it is the necessity of day-to-day life. For example, Facebook. Every person involves with p…

cs.NI2018★ 29 cited

Preventing DDoS using Bloom Filter: A Survey

Ripon Patgiri, Sabuzima Nayak, Samir Kumar Borgohain

Distributed Denial-of-Service (DDoS) is a menace for service provider and prominent issue in network security. Defeating or defending the DDoS is a prime challenge. DDoS make a ser…