569 citations · 660 across the 12 of their papers we have counts for
12 papers
Enhancing Cryptocurrency Sentiment Analysis with Multimodal Features
Chenghao Liu, Aniket Mahanti, Ranesh Naha +2
As cryptocurrencies gain popularity, the digital asset marketplace becomes increasingly significant. Understanding social media signals offers valuable insights into investor senti…
Fog Device-as-a-Service (FDaaS): A Framework for Service Deployment in Public Fog Environments
Sudheer Kumar Battula, Saurabh Garg, James Montgomery +1
Meeting the requirements of future services with time sensitivity and handling sudden load spikes of the services in Fog computing environments are challenging tasks due to the lac…
Defending SDN against packet injection attacks using deep learning
Anh Tuan Phu, Bo Li, Faheem Ullah +4
The (logically) centralised architecture of the software-defined networks makes them an easy target for packet injection attacks. In these attacks, the attacker injects malicious p…
Multiple Linear Regression-Based Energy-Aware Resource Allocation in the Fog Computing Environment
Ranesh Kumar Naha, Saurabh Garg, Sudheer Kumar Battula +2
Fog computing is a promising computing paradigm for time-sensitive Internet of Things (IoT) applications. It helps to process data close to the users, in order to deliver faster pr…
Fuzzy Logic-based Robust Failure Handling Mechanism for Fog Computing
Ranesh Naha, Saurabh Garg, Sudheer Kumar Battula +2
Fog computing is an emerging computing paradigm which is mainly suitable for time-sensitive and real-time Internet of Things (IoT) applications. Academia and industries are focusin…
Authentication, Access Control, Privacy, Threats and Trust Management Towards Securing Fog Computing Environments: A Review
Abdullah Al-Noman Patwary, Anmin Fu, Ranesh Kumar Naha +4
Fog computing is an emerging computing paradigm that has come into consideration for the deployment of IoT applications amongst researchers and technology industries over the last…
Multi-Criteria-based Dynamic User Behaviour Aware Resource Allocation in Fog Computing
Ranesh Kumar Naha, Saurabh Garg
Fog computing is a promising computing paradigm in which IoT data can be processed near the edge to support time-sensitive applications. However, the availability of the resources…
IoTSim-Edge: A Simulation Framework for Modeling the Behaviour of IoT and Edge Computing Environments
Devki Nandan Jha, Khaled Alwasel, Areeb Alshoshan +9
This paper proposes a novel simulator IoTSim-Edge, which captures the behavior of heterogeneous IoT and edge computing infrastructure and allows users to test their infrastructure…
Energy-aware virtual machine selection method for cloud data center resource allocation
Nasrin Akhter, Mohamed Othman, Ranesh Kumar Naha
Saving energy is an important issue for cloud providers to reduce energy cost in a data center. With the increasing popularity of cloud computing, it is time to examine various ene…
Evaluation of Energy-efficient VM Consolidation for Cloud Based Data Center - Revisited
Nasrin Akhter, Mohamed Othman, Ranesh Kumar Naha
In this paper, a re-evaluation undertaken for dynamic VM consolidation problem and optimal online deterministic algorithms for the single VM migration in an experimental environmen…
Fog Computing Architecture: Survey and Challenges
Ranesh Kumar Naha, Saurabh Garg, Andrew Chan
Emerging technologies that generate a huge amount of data such as the Internet of Things (IoT) services need latency aware computing platforms to support time-critical applications…
Fog Computing: Survey of Trends, Architectures, Requirements, and Research Directions
Ranesh Kumar Naha, Saurabh Garg, Dimitrios Georgakopoulos +4
Emerging technologies like the Internet of Things (IoT) require latency-aware computation for real-time application processing. In IoT environments, connected things generate a hug…