Raj Mani Shukla

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 35

Top Topics

Anomaly Detection

Electric Vehicle Charging

Current Challenges

Machine Learning

Top Venues

Internet Things

Publications

Tomisin Awosika, Raj Mani Shukla, Bernardi Pranggono
Transparency and Privacy: The Role of Explainable AI and Federated Learning in Financial Fraud Detection. IEEE Access 12 (2024)
Angela Grace Famera, Raj Mani Shukla, Suman Bhunia
Cross Device Federated Intrusion Detector for Early Stage Botnet Propagation in IoT. SysCon (2024)
Sankalp Vyas, Amar Nath Patra, Raj Mani Shukla
Histopathological Image Classification and Vulnerability Analysis using Federated Learning. CoRR (2023)
Agnes Barsi, Suvendu Chandan Nayak, Sasmita Parida, Raj Mani Shukla
A Deep Learning-based Compression and Classification Technique for Whole Slide Histopathology Images. CoRR (2023)
Tapadhir Das, Raj Mani Shukla, Shamik Sengupta
What Could Possibly Go Wrong? Identification of Current Challenges and Prospective Opportunities for Anomaly Detection in Internet of Things. IEEE Netw. 37 (3) (2023)
Angela Grace Famera, Raj Mani Shukla, Suman Bhunia
Cross Device Federated Intrusion Detector for Early Stage Botnet Propagation in IoT. CoRR (2023)
Prathyusha Devabhakthini, Sasmita Parida, Raj Mani Shukla, Suvendu Chandan Nayak
Analyzing the Impact of Adversarial Examples on Explainable Machine Learning. CoRR (2023)
Sankalp Vyas, Amar Nath Patra, Raj Mani Shukla
Histopathological Image Classification and Vulnerability Analysis using Federated Learning. TrustCom (2023)
Aaron Walker, Raj Mani Shukla, Tapadhir Das, Shamik Sengupta
Runs in the Family: Malware Family Variants Identification through API Sequence and Frequency Analysis. MCNA (2023)
Lochana Telugu Rajesh, Tapadhir Das, Raj Mani Shukla, Shamik Sengupta
Give and Take: Federated Transfer Learning for Industrial IoT Network Intrusion Detection. TrustCom (2023)
Manas Ranjan Mohapatra, Rahul Radhakrishnan, Raj Mani Shukla
A Hybrid Approach using ARIMA, Kalman Filter and LSTM for Accurate Wind Speed Forecasting. iSES (2023)
Tomisin Awosika, Raj Mani Shukla, Bernardi Pranggono
Transparency and Privacy: The Role of Explainable AI and Federated Learning in Financial Fraud Detection. CoRR (2023)
Aysha Thahsin Zahir Ismail, Raj Mani Shukla
Analyzing the vulnerabilities in SplitFed Learning: Assessing the robustness against Data Poisoning Attacks. CoRR (2023)
Tapadhir Das, Osama Abu Hamdan, Raj Mani Shukla, Shamik Sengupta, Engin Arslan
UNR-IDD: Intrusion Detection Dataset using Network Port Statistics. CCNC (2023)
Manas Ranjan Mohapatra, Rahul Radhakrishnan, Raj Mani Shukla
A Hybrid Approach using ARIMA, Kalman Filter and LSTM for Accurate Wind Speed Forecasting. CoRR (2023)
Lochana Telugu Rajesh, Tapadhir Das, Raj Mani Shukla, Shamik Sengupta
Give and Take: Federated Transfer Learning for Industrial IoT Network Intrusion Detection. CoRR (2023)
Raj Mani Shukla, John Cartlidge
Challenges Faced by Industries and Their Potential Solutions in Deploying Machine Learning Applications. CCWC (2022)
Raj Mani Shukla, Shamik Sengupta
A novel machine learning pipeline to detect malicious anomalies for the Internet of Things. Internet Things 20 (2022)
Aaron Walker, Raj Mani Shukla, Tapadhir Das, Shamik Sengupta
Ohana Means Family: Malware Family Classification using Extreme Learning Machines. CCNC (2022)
Narayan Bhusal, Raj Mani Shukla, Mukesh Gautam, Mohammed Benidris, Shamik Sengupta
Deep Ensemble Learning-based Approach to Real-time Power System State Estimation. CoRR (2021)
Aaron Walker, Tapadhir Das, Raj Mani Shukla, Shamik Sengupta
Friend or Foe: Discerning Benign vs Malicious Software and Malware Family. GLOBECOM (2021)
Tapadhir Das, Raj Mani Shukla, Shamik Sengupta
The Devil is in the Details: Confident & Explainable Anomaly Detector for Software-Defined Networks. NCA (2021)
Raj Mani Shukla, Shamik Sengupta
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]. Internet Things 14 (2021)
Tapadhir Das, Raj Mani Shukla, Shamik Sengupta
Imposters Among Us: A Supervised Learning Approach to Anomaly Detection in IoT Sensor Data. WF-IoT (2021)
Raj Mani Shukla, Shamik Sengupta
COP: An integrated Communication, Optimization, and Prediction unit for smart Plug-in Electric Vehicle Charging. Internet Things 9 (2020)
Raj Mani Shukla, Shamik Sengupta
Scalable and Robust Outlier Detector using Hierarchical Clustering and Long Short-Term Memory (LSTM) Neural Network for the Internet of Things. Internet Things 9 (2020)
Watson Jia, Raj Mani Shukla, Shamik Sengupta
Anomaly Detection using Supervised Learning and Multiple Statistical Methods. ICMLA (2019)
Raj Mani Shukla, Shamik Sengupta, Amar Nath Patra
Smart plug-in electric vehicle charging to reduce electric load variation at a parking place. CCWC (2018)
Raj Mani Shukla, Shamik Sengupta
Analysis and Detection of Outliers due to Data Falsification Attacks in Vehicular Traffic Prediction Application. UEMCON (2018)
Raj Mani Shukla, Shamik Sengupta, Amar Nath Patra
Software-defined network based resource allocation in distributed servers for unmanned aerial vehicles. CCWC (2018)
Raj Mani Shukla, Shamik Sengupta, Mainak Chatterjee
Software-defined network and cloud-edge collaboration for smart and connected vehicles. ICDCN Workshops (2018)
Raj Mani Shukla, Arslan Munir
An efficient computation offloading architecture for the Internet of Things (IoT) devices. CCNC (2017)
Raj Mani Shukla, Shamik Sengupta
A novel software-defined network based approach for charging station allocation to plugged-in electric vehicles. NCA (2017)
Raj Mani Shukla, Prasanna Kansakar, Arslan Munir
A Neural Network-Based Appliance Scheduling Methodology for Smart Homes and Buildings with Multiple Power Sources. iNIS (2016)
Raj Mani Shukla, Arslan Munir
A Computation Offloading Scheme Leveraging Parameter Tuning for Real-Time IoT Devices. iNIS (2016)