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2020 – today
- 2025
[j8]Tapadhir Das
, Raj Mani Shukla, Shamik Sengupta:
Poisoning the Well: Adversarial Poisoning on ML-Based Software-Defined Network Intrusion Detection Systems. IEEE Trans. Netw. Sci. Eng. 12(1): 252-262 (2025)- [j7]Tapadhir Das, Raj Mani Shukla, Suman Rath, Shamik Sengupta:
Bringing to Light: Adversarial Poisoning Detection for ML-Based IDS in Software-Defined Networks. IEEE Trans. Netw. Sci. Eng. 12(2): 791-802 (2025) - 2024
- [j6]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: 64551-64560 (2024) - [c21]Farah Aladwan, Raj Mani Shukla, Hossein Abroshan, Shareeful Islam, Ronak Al-Haddad:
From Spatial to Frequency Domain: Defending Medical Image Classification Against Steganography-Based Adversarial Attacks. IEEE Big Data 2024: 4466-4473 - [c20]Angela Grace Famera, Raj Mani Shukla, Suman Bhunia:
Cross Device Federated Intrusion Detector for Early Stage Botnet Propagation in IoT. SysCon 2024: 1-8 - 2023
- [j5]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): 194-200 (2023) - [c19]Tapadhir Das, Osama Abu Hamdan, Raj Mani Shukla, Shamik Sengupta, Engin Arslan:
UNR-IDD: Intrusion Detection Dataset using Network Port Statistics. CCNC 2023: 497-500 - [c18]Manas Ranjan Mohapatra, Rahul Radhakrishnan, Raj Mani Shukla:
A Hybrid Approach using ARIMA, Kalman Filter and LSTM for Accurate Wind Speed Forecasting. iSES 2023: 425-428 - [c17]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: 55-61 - [c16]Lochana Telugu Rajesh, Tapadhir Das, Raj Mani Shukla, Shamik Sengupta:
Give and Take: Federated Transfer Learning for Industrial IoT Network Intrusion Detection. TrustCom 2023: 2365-2371 - [c15]Sankalp Vyas, Amar Nath Patra, Raj Mani Shukla:
Histopathological Image Classification and Vulnerability Analysis using Federated Learning. TrustCom 2023: 2372-2377 - [i8]Agnes Barsi, Suvendu Chandan Nayak, Sasmita Parida, Raj Mani Shukla:
A Deep Learning-based Compression and Classification Technique for Whole Slide Histopathology Images. CoRR abs/2305.07161 (2023) - [i7]Aysha Thahsin Zahir Ismail, Raj Mani Shukla:
Analyzing the vulnerabilities in SplitFed Learning: Assessing the robustness against Data Poisoning Attacks. CoRR abs/2307.03197 (2023) - [i6]Prathyusha Devabhakthini, Sasmita Parida, Raj Mani Shukla, Suvendu Chandan Nayak:
Analyzing the Impact of Adversarial Examples on Explainable Machine Learning. CoRR abs/2307.08327 (2023) - [i5]Lochana Telugu Rajesh, Tapadhir Das, Raj Mani Shukla, Shamik Sengupta:
Give and Take: Federated Transfer Learning for Industrial IoT Network Intrusion Detection. CoRR abs/2310.07354 (2023) - [i4]Sankalp Vyas, Amar Nath Patra, Raj Mani Shukla:
Histopathological Image Classification and Vulnerability Analysis using Federated Learning. CoRR abs/2310.07380 (2023) - [i3]Angela Grace Famera, Raj Mani Shukla, Suman Bhunia:
Cross Device Federated Intrusion Detector for Early Stage Botnet Propagation in IoT. CoRR abs/2311.08621 (2023) - [i2]Tomisin Awosika, Raj Mani Shukla, Bernardi Pranggono:
Transparency and Privacy: The Role of Explainable AI and Federated Learning in Financial Fraud Detection. CoRR abs/2312.13334 (2023) - 2022
- [j4]Raj Mani Shukla, Shamik Sengupta:
A novel machine learning pipeline to detect malicious anomalies for the Internet of Things. Internet Things 20: 100603 (2022) - [c14]Aaron Walker, Raj Mani Shukla, Tapadhir Das, Shamik Sengupta:
Ohana Means Family: Malware Family Classification using Extreme Learning Machines. CCNC 2022: 534-542 - [c13]Raj Mani Shukla, John Cartlidge:
Challenges Faced by Industries and Their Potential Solutions in Deploying Machine Learning Applications. CCWC 2022: 119-124 - 2021
- [j3]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: 100401 (2021) - [c12]Aaron Walker, Tapadhir Das, Raj Mani Shukla, Shamik Sengupta:
Friend or Foe: Discerning Benign vs Malicious Software and Malware Family. GLOBECOM 2021: 1-6 - [c11]Tapadhir Das, Raj Mani Shukla, Shamik Sengupta:
The Devil is in the Details: Confident & Explainable Anomaly Detector for Software-Defined Networks. NCA 2021: 1-5 - [c10]Tapadhir Das, Raj Mani Shukla, Shamik Sengupta:
Imposters Among Us: A Supervised Learning Approach to Anomaly Detection in IoT Sensor Data. WF-IoT 2021: 818-823 - [i1]Narayan Bhusal, Raj Mani Shukla, Mukesh Gautam, Mohammed Benidris, Shamik Sengupta:
Deep Ensemble Learning-based Approach to Real-time Power System State Estimation. CoRR abs/2101.03457 (2021) - 2020
- [j2]Raj Mani Shukla, Shamik Sengupta:
COP: An integrated Communication, Optimization, and Prediction unit for smart Plug-in Electric Vehicle Charging. Internet Things 9: 100148 (2020) - [j1]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: 100167 (2020)
2010 – 2019
- 2019
- [c9]Watson Jia, Raj Mani Shukla, Shamik Sengupta:
Anomaly Detection using Supervised Learning and Multiple Statistical Methods. ICMLA 2019: 1291-1297 - 2018
- [c8]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: 632-638 - [c7]Raj Mani Shukla, Shamik Sengupta, Amar Nath Patra:
Software-defined network based resource allocation in distributed servers for unmanned aerial vehicles. CCWC 2018: 796-802 - [c6]Raj Mani Shukla, Shamik Sengupta, Mainak Chatterjee:
Software-defined network and cloud-edge collaboration for smart and connected vehicles. ICDCN Workshops 2018: 6:1-6:6 - [c5]Raj Mani Shukla, Shamik Sengupta:
Analysis and Detection of Outliers due to Data Falsification Attacks in Vehicular Traffic Prediction Application. UEMCON 2018: 688-694 - 2017
- [c4]Raj Mani Shukla, Arslan Munir:
An efficient computation offloading architecture for the Internet of Things (IoT) devices. CCNC 2017: 728-731 - [c3]Raj Mani Shukla, Shamik Sengupta:
A novel software-defined network based approach for charging station allocation to plugged-in electric vehicles. NCA 2017: 437-441 - 2016
- [c2]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: 166-171 - [c1]Raj Mani Shukla, Arslan Munir:
A Computation Offloading Scheme Leveraging Parameter Tuning for Real-Time IoT Devices. iNIS 2016: 208-209
Coauthor Index
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