Raj Mani Shukla

According to our database, Raj Mani Shukla authored at least 30 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

What Could Possibly Go Wrong? Identification of Current Challenges and Prospective Opportunities for Anomaly Detection in Internet of Things.

Tapadhir Das, Raj Mani Shukla, Shamik Sengupta

IEEE Netw., 2023

Transparency and Privacy: The Role of Explainable AI and Federated Learning in Financial Fraud Detection.

Tomisin Awosika, Raj Mani Shukla, Bernardi Pranggono

CoRR, 2023

Cross Device Federated Intrusion Detector for Early Stage Botnet Propagation in IoT.

Angela Grace Famera, Raj Mani Shukla, Suman Bhunia

CoRR, 2023

Histopathological Image Classification and Vulnerability Analysis using Federated Learning.

Sankalp Vyas, Amar Nath Patra, Raj Mani Shukla

CoRR, 2023

Give and Take: Federated Transfer Learning for Industrial IoT Network Intrusion Detection.

Lochana Telugu Rajesh, Tapadhir Das, Raj Mani Shukla, Shamik Sengupta

CoRR, 2023

Analyzing the Impact of Adversarial Examples on Explainable Machine Learning.

Prathyusha Devabhakthini, Sasmita Parida, Raj Mani Shukla, Suvendu Chandan Nayak

CoRR, 2023

Analyzing the vulnerabilities in SplitFed Learning: Assessing the robustness against Data Poisoning Attacks.

Aysha Thahsin Zahir Ismail, Raj Mani Shukla

CoRR, 2023

A Deep Learning-based Compression and Classification Technique for Whole Slide Histopathology Images.

Agnes Barsi, Suvendu Chandan Nayak, Sasmita Parida, Raj Mani Shukla

CoRR, 2023

Runs in the Family: Malware Family Variants Identification through API Sequence and Frequency Analysis.

Aaron Walker, Raj Mani Shukla, Tapadhir Das, Shamik Sengupta

Proceedings of the International Conference on Multimedia Computing, 2023

A Hybrid Approach using ARIMA, Kalman Filter and LSTM for Accurate Wind Speed Forecasting.

Manas Ranjan Mohapatra, Rahul Radhakrishnan, Raj Mani Shukla

Proceedings of the IEEE International Symposium on Smart Electronic Systems, 2023

UNR-IDD: Intrusion Detection Dataset using Network Port Statistics.

Tapadhir Das, Osama Abu Hamdan, Raj Mani Shukla, Shamik Sengupta, Engin Arslan

Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

2022

A novel machine learning pipeline to detect malicious anomalies for the Internet of Things.

Raj Mani Shukla, Shamik Sengupta

Internet Things, 2022

Challenges Faced by Industries and Their Potential Solutions in Deploying Machine Learning Applications.

Raj Mani Shukla, John Cartlidge

Proceedings of the 12th IEEE Annual Computing and Communication Workshop and Conference, 2022

Ohana Means Family: Malware Family Classification using Extreme Learning Machines.

Aaron Walker, Raj Mani Shukla, Tapadhir Das, Shamik Sengupta

Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022

2021

Erratum to "COP: An integrated Communication, Optimization, and Prediction unit for smart Plug-in Electric Vehicle Charging" [Internet of Things, volume 9, March 2020, 100148].

Raj Mani Shukla, Shamik Sengupta

Internet Things, 2021

Deep Ensemble Learning-based Approach to Real-time Power System State Estimation.

Narayan Bhusal, Raj Mani Shukla, Mukesh Gautam, Mohammed Benidris, Shamik Sengupta

CoRR, 2021

Imposters Among Us: A Supervised Learning Approach to Anomaly Detection in IoT Sensor Data.

Tapadhir Das, Raj Mani Shukla, Shamik Sengupta

Proceedings of the 7th IEEE World Forum on Internet of Things, 2021

The Devil is in the Details: Confident & Explainable Anomaly Detector for Software-Defined Networks.

Tapadhir Das, Raj Mani Shukla, Shamik Sengupta

Proceedings of the 20th IEEE International Symposium on Network Computing and Applications, 2021

Friend or Foe: Discerning Benign vs Malicious Software and Malware Family.

Aaron Walker, Tapadhir Das, Raj Mani Shukla, Shamik Sengupta

Proceedings of the IEEE Global Communications Conference, 2021

2020

Scalable and Robust Outlier Detector using Hierarchical Clustering and Long Short-Term Memory (LSTM) Neural Network for the Internet of Things.

Raj Mani Shukla, Shamik Sengupta

Internet Things, 2020

COP: An integrated Communication, Optimization, and Prediction unit for smart Plug-in Electric Vehicle Charging.

Raj Mani Shukla, Shamik Sengupta

Internet Things, 2020

2019

Anomaly Detection using Supervised Learning and Multiple Statistical Methods.

Watson Jia, Raj Mani Shukla, Shamik Sengupta

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018

Analysis and Detection of Outliers due to Data Falsification Attacks in Vehicular Traffic Prediction Application.

Raj Mani Shukla, Shamik Sengupta

Proceedings of the 9th IEEE Annual Ubiquitous Computing, 2018

Software-defined network and cloud-edge collaboration for smart and connected vehicles.

Raj Mani Shukla, Shamik Sengupta, Mainak Chatterjee

Proceedings of the Workshop Program of the 19th International Conference on Distributed Computing and Networking, 2018

Software-defined network based resource allocation in distributed servers for unmanned aerial vehicles.

Raj Mani Shukla, Shamik Sengupta, Amar Nath Patra

Proceedings of the IEEE 8th Annual Computing and Communication Workshop and Conference, 2018

Smart plug-in electric vehicle charging to reduce electric load variation at a parking place.

Raj Mani Shukla, Shamik Sengupta, Amar Nath Patra

Proceedings of the IEEE 8th Annual Computing and Communication Workshop and Conference, 2018

2017

A novel software-defined network based approach for charging station allocation to plugged-in electric vehicles.

Raj Mani Shukla, Shamik Sengupta

Proceedings of the 16th IEEE International Symposium on Network Computing and Applications, 2017

An efficient computation offloading architecture for the Internet of Things (IoT) devices.

Raj Mani Shukla, Arslan Munir

Proceedings of the 14th IEEE Annual Consumer Communications & Networking Conference, 2017

2016

A Computation Offloading Scheme Leveraging Parameter Tuning for Real-Time IoT Devices.

Raj Mani Shukla, Arslan Munir

Proceedings of the IEEE International Symposium on Nanoelectronic and Information Systems, 2016

A Neural Network-Based Appliance Scheduling Methodology for Smart Homes and Buildings with Multiple Power Sources.

Raj Mani Shukla, Prasanna Kansakar, Arslan Munir

Proceedings of the IEEE International Symposium on Nanoelectronic and Information Systems, 2016