output
20082025
most citedMachine Learning Based Intrusion Detection Systems for IoT Applications

411 citations

53 papers

cs.CR2025★ 9 cited

Secure Resource Management in Cloud Computing: Challenges, Strategies and Meta-Analysis

Deepika Saxena, Smruti Rekha Swain, Jatinder Kumar +4

Secure resource management (SRM) within a cloud computing environment is a critical yet infrequently studied research topic. This paper provides a comprehensive survey and comparat…

cs.CR2024★ 33 cited

FedMUP: Federated Learning driven Malicious User Prediction Model for Secure Data Distribution in Cloud Environments

Kishu Gupta, Deepika Saxena, Rishabh Gupta +2

Cloud computing is flourishing at a rapid pace. Significant consequences related to data security appear as a malicious user may get unauthorized access to sensitive data which may…

cs.CR2024★ 39 cited

An Intelligent Quantum Cyber-Security Framework for Healthcare Data Management

Kishu Gupta, Deepika Saxena, Pooja Rani +4

Digital healthcare is essential to facilitate consumers to access and disseminate their medical data easily for enhanced medical care services. However, the significant concern wit…

physics.app-ph2024★ 6 cited

Elucidating the role of electron transfer in the photoluminescence of quantum dots synthesized by fs-pulse ablation

Anubhab Sahoo, Tejendra Dixit, K. V. Anil Kumar +4

Herein, quantum dot (QDs) with controlled optical, structural, and electronic properties are synthesized using the femtosecond pulsed laser ablation in liquid (f…

hep-ph2023★ 5 cited

Angularity in Higgs boson decays via at NNLL accuracy

Jiawei Zhu, Yujin Song, Jun Gao +2

We present improved predictions of a class of event-shape distributions called angularity for a contribution from an effective operator in Higgs hadronic decay that suffe…

hep-ph2023★ 6 cited

Gluon Generalized TMDs and Wigner Distributions in boost invariant longitudinal space

Sujit Jana, Vikash Kumar Ojha, Tanmay Maji

We present the gluon generalized TMDs for non-zero skewness and Wigner distributions in the boost invariant longitudinal space. The boost-invariant longitudinal space is defined as…

cs.CR2023★ 56 cited

An AI-Driven VM Threat Prediction Model for Multi-Risks Analysis-Based Cloud Cybersecurity

Deepika Saxena, Ishu Gupta, Rishabh Gupta +2

Cloud virtualization technology, ingrained with physical resource sharing, prompts cybersecurity threats on users' virtual machines (VM)s due to the presence of inevitable vulnerab…

hep-ph2023★ 34 cited

Gluon distributions in the proton in a light-front spectator model

Dipankar Chakrabarti, Poonam Choudhary, Bheemsehan Gurjar +4

We formulate a light-front spectator model for the proton incorporating the gluonic degree of freedom. In this model, at high energy scattering of the proton, the active parton is…

cs.DC2023★ 32 cited

An AI-driven intelligent traffic management model for 6G cloud radio access networks

Smruti Rekha Swain, Deepika Saxena, Jatinder Kumar +2

This letter proposes a novel Cloud Radio Access Network (C-RAN) traffic analysis and management model that estimates probable RAN traffic congestion and mitigate its effect by adop…

cs.NI2023★ 25 cited

The impact of copycat attack on RPL based 6LoWPAN networks in Internet of Things

Abhishek Verma, Virender Ranga

IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL) is the standard network layer protocol for achieving efficient routing in IPv6 over Low-Power Wireless Personal Area Ne…

cs.NI2023★ 193 cited

Security of RPL Based 6LoWPAN Networks in the Internet of Things: A Review

Abhishek Verma, Virender Ranga

Internet of Things (IoT) is one of the fastest emerging networking paradigms enabling a large number of applications for the benefit of mankind. Advancements in embedded system tec…

cs.CR2023★ 411 cited

Machine Learning Based Intrusion Detection Systems for IoT Applications

Abhishek Verma, Virender Ranga

Internet of Things (IoT) and its applications are the most popular research areas at present. The characteristics of IoT on one side make it easily applicable to real-life applicat…

cs.CR2023★ 39 cited

CoSec-RPL: detection of copycat attacks in RPL based 6LoWPANs using outlier analysis

Abhishek Verma, Virender Ranga

The IPv6 routing protocol for low-power and lossy networks (RPL) is the standard routing protocol for IPv6 based low-power wireless personal area networks (6LoWPANs). In RPL protoc…

cs.DC2023★ 128 cited

Performance Analysis of Machine Learning Centered Workload Prediction Models for Cloud

Deepika Saxena, Jitendra Kumar, Ashutosh Kumar Singh +1

The precise estimation of resource usage is a complex and challenging issue due to the high variability and dimensionality of heterogeneous service types and dynamic workloads. Ove…

cs.CR2022★ 69 cited

A Privacy-Preserving Model based on Differential Approach for Sensitive Data in Cloud Environment

Ashutosh Kumar Singh, Rishabh Gupta

A large amount of data and applications need to be shared with various parties and stakeholders in the cloud environment for storage, computation, and data utilization. Since a thi…

cs.CR2022★ 63 cited

A Differential Approach for Data and Classification Service based Privacy-Preserving Machine Learning Model in Cloud Environment

Rishabh Gupta, Ashutosh Kumar Singh

The massive upsurge in computational and storage has driven the local data and machine learning applications to the cloud environment. The owners may not fully trust the cloud envi…

cs.DC2022★ 37 cited

OSC-MC: Online Secure Communication Model for Cloud Environment

Deepika Saxena, Ashutosh Kumar Singh

A malicious cloud user may exploit outsourced data involved in online communication, co-residency, and hypervisor vulnerabilities to breach and hamper sensitive information, and in…

cs.DC2022★ 72 cited

A Fault Tolerant Elastic Resource Management Framework Towards High Availability of Cloud Services

Deepika Saxena, Ishu Gupta, Ashutosh Kumar Singh +1

Cloud computing has become inevitable for every digital service which has exponentially increased its usage. However, a tremendous surge in cloud resource demand stave off service…

cs.DC2022★ 37 cited

A High Availability Management Model based on VM Significance Ranking and Resource Estimation for Cloud Applications

Deepika Saxena, Ashutosh Kumar Singh

Massive upsurge in cloud resource usage stave off service availability resulting into outages, resource contention, and excessive power-consumption. The existing approaches have ad…

cs.DC2022★ 105 cited

A Quantum Approach Towards the Adaptive Prediction of Cloud Workloads

Ashutosh Kumar Singh, Deepika Saxena, Jitendra Kumar +1

This work presents a novel Evolutionary Quantum Neural Network (EQNN) based workload prediction model for Cloud datacenter. It exploits the computational efficiency of quantum comp…

hep-ph2022★ 14 cited

Quark generalized TMDs at skewness and Wigner Distribution in boost invariant longitudinal space

Vikash Kumar Ojha, Sujit Jana, Tanmay Maji

The boost-invariant longitudinal space, defined by the parameter can be studied from the Fourier transformation of distributions over the conjugate variable s…

cs.CR2021★ 4 cited

A Discussion and Comparative Study on Security and Privacy of Smart Meter Data

Jatinder Kumar, Ashutosh Kumar Singh

Cloud computing comes with a lot of advanced features along with privacy and security problem. Smart meter data takes the benefit of cloud computing in the smart grid. User's priva…

eess.IV2021★ 1 cited

Pathological Analysis of Blood Cells Using Deep Learning Techniques

Virender Ranga, Shivam Gupta, Priyansh Agrawal +1

Pathology deals with the practice of discovering the reasons for disease by analyzing the body samples. The most used way in this field, is to use histology which is basically stud…

cs.LG2021★ 4 cited

Automated Human Mind Reading Using EEG Signals for Seizure Detection

Virender Ranga, Shivam Gupta, Jyoti Meena +1

Epilepsy is one of the most occurring neurological disease globally emerged back in 4000 BC. It is affecting around 50 million people of all ages these days. The trait of this dise…