Raj Mani Shukla

42 papers B 6C 4Journal 18Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Precision at heart: An IoT-based vertical federated learning approach for heterogeneous data-driven cardiovascular disease risk prediction. Comput. Methods Programs Biomed. Sulfikar Shajimon, Raj Mani Shukla, Amar Nath Patra
2026	J	`jnl`	Scalable Hybrid Online Machine Learning for Real-Time Intrusion Detection in Electric Vehicle Charging Systems. IEEE Access Josiah Kipruto, Bernardi Pranggono, Raj Mani Shukla
2025	J	`jnl`	Bringing to Light: Adversarial Poisoning Detection for ML-Based IDS in Software-Defined Networks. IEEE Trans. Netw. Sci. Eng. Tapadhir Das, Raj Mani Shukla, Suman Rath, Shamik Sengupta
2025	J	`jnl`	Poisoning the Well: Adversarial Poisoning on ML-Based Software-Defined Network Intrusion Detection Systems. IEEE Trans. Netw. Sci. Eng. Tapadhir Das, Raj Mani Shukla, Shamik Sengupta
2024	—	`conf`	Cross Device Federated Intrusion Detector for Early Stage Botnet Propagation in IoT. SysCon Angela Grace Famera, Raj Mani Shukla, Suman Bhunia
2024	C	`conf`	Decentralized Privacy-Preserving Federated Learning for Ultrasonic Nerve Image Segmentation. IECON Gowtham Vinjamuri, Suvendu Chandan Nayak, Rekha Sahu, Raj Mani Shukla, Tapadhir Das
2024	C	`conf`	Evaluation of Ensemble Learning for Mitigating Adversarial Attacks in Industrial Object Detection. IECON Shashank Pulijala, Sara Shahin, Tapadhir Das, Raj Mani Shukla
2024	C	`conf`	Fortifying SplitFed Learning: Strengthening Resilience Against Malicious Clients. IECON Ashwin Kumaar, Raj Mani Shukla, Amar Nath Patra
2024	B	`conf`	From Spatial to Frequency Domain: Defending Medical Image Classification Against Steganography-Based Adversarial Attacks. IEEE Big Data Farah Aladwan, Raj Mani Shukla, Hossein Abroshan, Shareeful Islam, Ronak Al-Haddad
2024	J	`jnl`	Transparency and Privacy: The Role of Explainable AI and Federated Learning in Financial Fraud Detection. IEEE Access Tomisin Awosika, Raj Mani Shukla, Bernardi Pranggono
2023	J	`jnl`	A Deep Learning-based Compression and Classification Technique for Whole Slide Histopathology Images. CoRR Agnes Barsi, Suvendu Chandan Nayak, Sasmita Parida, Raj Mani Shukla
2023	—	`conf`	A Hybrid Approach using ARIMA, Kalman Filter and LSTM for Accurate Wind Speed Forecasting. iSES Manas Ranjan Mohapatra, Rahul Radhakrishnan, Raj Mani Shukla
2023	J	`jnl`	Analyzing the Impact of Adversarial Examples on Explainable Machine Learning. CoRR Prathyusha Devabhakthini, Sasmita Parida, Raj Mani Shukla, Suvendu Chandan Nayak
2023	J	`jnl`	Analyzing the vulnerabilities in SplitFed Learning: Assessing the robustness against Data Poisoning Attacks. CoRR Aysha Thahsin Zahir Ismail, Raj Mani Shukla
2023	J	`jnl`	Cross Device Federated Intrusion Detector for Early Stage Botnet Propagation in IoT. CoRR Angela Grace Famera, Raj Mani Shukla, Suman Bhunia
2023	B	`conf`	Give and Take: Federated Transfer Learning for Industrial IoT Network Intrusion Detection. TrustCom Lochana Telugu Rajesh, Tapadhir Das, Raj Mani Shukla, Shamik Sengupta
2023	J	`jnl`	Give and Take: Federated Transfer Learning for Industrial IoT Network Intrusion Detection. CoRR Lochana Telugu Rajesh, Tapadhir Das, Raj Mani Shukla, Shamik Sengupta
2023	B	`conf`	Histopathological Image Classification and Vulnerability Analysis using Federated Learning. TrustCom Sankalp Vyas, Amar Nath Patra, Raj Mani Shukla
2023	J	`jnl`	Histopathological Image Classification and Vulnerability Analysis using Federated Learning. CoRR Sankalp Vyas, Amar Nath Patra, Raj Mani Shukla
2023	—	`conf`	Runs in the Family: Malware Family Variants Identification through API Sequence and Frequency Analysis. MCNA Aaron Walker, Raj Mani Shukla, Tapadhir Das, Shamik Sengupta
2023	J	`jnl`	Transparency and Privacy: The Role of Explainable AI and Federated Learning in Financial Fraud Detection. CoRR Tomisin Awosika, Raj Mani Shukla, Bernardi Pranggono
2023	—	`conf`	UNR-IDD: Intrusion Detection Dataset using Network Port Statistics. CCNC Tapadhir Das, Osama Abu Hamdan, Raj Mani Shukla, Shamik Sengupta, Engin Arslan
2023	J	`jnl`	What Could Possibly Go Wrong? Identification of Current Challenges and Prospective Opportunities for Anomaly Detection in Internet of Things. IEEE Netw. Tapadhir Das, Raj Mani Shukla, Shamik Sengupta
2022	J	`jnl`	A novel machine learning pipeline to detect malicious anomalies for the Internet of Things. Internet Things Raj Mani Shukla, Shamik Sengupta
2022	—	`conf`	Challenges Faced by Industries and Their Potential Solutions in Deploying Machine Learning Applications. CCWC Raj Mani Shukla, John Cartlidge
2022	—	`conf`	Ohana Means Family: Malware Family Classification using Extreme Learning Machines. CCNC Aaron Walker, Raj Mani Shukla, Tapadhir Das, Shamik Sengupta
2021	J	`jnl`	Deep Ensemble Learning-based Approach to Real-time Power System State Estimation. CoRR Narayan Bhusal, Raj Mani Shukla, Mukesh Gautam, Mohammed Benidris, Shamik Sengupta
2021	J	`jnl`	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 Raj Mani Shukla, Shamik Sengupta
2021	B	`conf`	Friend or Foe: Discerning Benign vs Malicious Software and Malware Family. GLOBECOM Aaron Walker, Tapadhir Das, Raj Mani Shukla, Shamik Sengupta
2021	—	`conf`	Imposters Among Us: A Supervised Learning Approach to Anomaly Detection in IoT Sensor Data. WF-IoT Tapadhir Das, Raj Mani Shukla, Shamik Sengupta
2021	B	`conf`	The Devil is in the Details: Confident & Explainable Anomaly Detector for Software-Defined Networks. NCA Tapadhir Das, Raj Mani Shukla, Shamik Sengupta
2020	J	`jnl`	COP: An integrated Communication, Optimization, and Prediction unit for smart Plug-in Electric Vehicle Charging. Internet Things Raj Mani Shukla, Shamik Sengupta
2020	J	`jnl`	Scalable and Robust Outlier Detector using Hierarchical Clustering and Long Short-Term Memory (LSTM) Neural Network for the Internet of Things. Internet Things Raj Mani Shukla, Shamik Sengupta
2019	C	`conf`	Anomaly Detection using Supervised Learning and Multiple Statistical Methods. ICMLA Watson Jia, Raj Mani Shukla, Shamik Sengupta
2018	—	`conf`	Analysis and Detection of Outliers due to Data Falsification Attacks in Vehicular Traffic Prediction Application. UEMCON Raj Mani Shukla, Shamik Sengupta
2018	—	`conf`	Smart plug-in electric vehicle charging to reduce electric load variation at a parking place. CCWC Raj Mani Shukla, Shamik Sengupta, Amar Nath Patra
2018	—	`conf`	Software-defined network and cloud-edge collaboration for smart and connected vehicles. ICDCN Workshops Raj Mani Shukla, Shamik Sengupta, Mainak Chatterjee
2018	—	`conf`	Software-defined network based resource allocation in distributed servers for unmanned aerial vehicles. CCWC Raj Mani Shukla, Shamik Sengupta, Amar Nath Patra
2017	B	`conf`	A novel software-defined network based approach for charging station allocation to plugged-in electric vehicles. NCA Raj Mani Shukla, Shamik Sengupta
2017	—	`conf`	An efficient computation offloading architecture for the Internet of Things (IoT) devices. CCNC Raj Mani Shukla, Arslan Munir
2016	—	`conf`	A Computation Offloading Scheme Leveraging Parameter Tuning for Real-Time IoT Devices. iNIS Raj Mani Shukla, Arslan Munir
2016	—	`conf`	A Neural Network-Based Appliance Scheduling Methodology for Smart Homes and Buildings with Multiple Power Sources. iNIS Raj Mani Shukla, Prasanna Kansakar, Arslan Munir