Nitesh Kumar - RankMe

53 papers A* 1A 2C 3Misc 1Journal 27Unranked 19

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Hybrid Approach for Intrusion Detection in FTP Logs via Multi-Pattern Feature Engineering. ACSW Kriti Majumdar, Nitesh Kumar, Anand Handa, Sandeep Kumar Shukla
2025	J	`jnl`	A Nature-Inspired Multi-Objective Green Routing Protocol for Iot-Enabled SDWSNs. Trans. Emerg. Telecommun. Technol. Rohit Beniwal, Nitesh Kumar
2025	—	`conf`	Attackers' Profiling Based on Multi-Attack Patterns in SSH Service. ICISSP (2) Kriti Majumdar, Nitesh Kumar, Anand Handa, Sandeep K. Shukla
2025	—	`conf`	Extracting Conceptual Spaces from LLMs Using Prototype Embeddings. EMNLP (Findings) Nitesh Kumar, Usashi Chatterjee, Steven Schockaert
2025	J	`jnl`	Extracting Conceptual Spaces from LLMs Using Prototype Embeddings. CoRR Nitesh Kumar, Usashi Chatterjee, Steven Schockaert
2025	J	`jnl`	The Persistent Robot Charging Problem for Long-Duration Autonomy. IEEE Robotics Autom. Lett. Nitesh Kumar, Jaekyung Jackie Lee, Sivakumar Rathinam, Swaroop Darbha, P. B. Sujit, Rajiv Raman
2024	J	`jnl`	A Multi-Constrained Green Routing Protocol for IoT-Based Software-Defined WSN. Concurr. Comput. Pract. Exp. Nitesh Kumar, Rohit Beniwal
2024	J	`jnl`	Adversarially robust and real-time DDoS detection and classification framework using AutoML. Inf. Secur. J. A Glob. Perspect. Sambhrant Maurya, Anand Handa, Nitesh Kumar, Sandeep K. Shukla
2024	C	`conf`	ArkThor: Threat Categorization Based on Malware's C2 Communication. ICISSP Mohammed Jawed, Sriram Parameshwaran, Nitesh Kumar, Anand Handa, Sandeep K. Shukla
2024	J	`jnl`	Energy optimized artificial hummingbird algorithm for routing in IoT-based software-defined WSN. Int. J. Commun. Syst. Rohit Beniwal, Nitesh Kumar
2024	—	`conf`	Ranking Entities along Conceptual Space Dimensions with LLMs: An Analysis of Fine-Tuning Strategies. ACL (Findings) Nitesh Kumar, Usashi Chatterjee, Steven Schockaert
2024	J	`jnl`	Ranking Entities along Conceptual Space Dimensions with LLMs: An Analysis of Fine-Tuning Strategies. CoRR Nitesh Kumar, Usashi Chatterjee, Steven Schockaert
2024	J	`jnl`	The Persistent Robot Charging Problem for Long-Duration Autonomy. CoRR Nitesh Kumar, Jaekyung Jackie Lee, Sivakumar Rathinam, Swaroop Darbha, P. B. Sujit, Rajiv Raman
2023	—	`conf`	AProctor - A practical on-device antidote for Android malware. ACSW Akash Patel, Nitesh Kumar, Anand Handa, Sandeep K. Shukla
2023	J	`jnl`	Adaptive Gravity Compensation Control of a Cable-Driven Upper-Arm Soft Exosuit. CoRR Joyjit Mukherjee, Ankit Chatterjee, Shreeshan Jena, Nitesh Kumar, Suriya Prakash Muthukrishnan, Sitikantha Roy, Shubhendu Bhasin
2023	J	`jnl`	Application of Data Collected by Endpoint Detection and Response Systems for Implementation of a Network Security System based on Zero Trust Principles and the EigenTrust Algorithm. SIGMETRICS Perform. Evaluation Rev. Nitesh Kumar, Gaurav S. Kasbekar, D. Manjunath
2023	J	`jnl`	Evading malware classifiers using RL agent with action-mask. Int. J. Inf. Sec. Saurabh Pandey, Nitesh Kumar, Anand Handa, Sandeep Kumar Shukla
2023	J	`jnl`	First-Order Context-Specific Likelihood Weighting in Hybrid Probabilistic Logic Programs. J. Artif. Intell. Res. Nitesh Kumar, Ondrej Kuzelka, Luc De Raedt
2023	J	`jnl`	Modeling and parametric optimization of 3D tendon-sheath actuator system for upper limb soft exosuit. CoRR Amit Yadav, Nitesh Kumar, Shaurya Surana, Lalan Kumar, Suriya Prakash Muthukrishnan, Shubhendu Bhasin, Sitikantha Roy
2023	Misc	`conf`	Ransomware Detection based on Network Behavior using Machine Learning and Hidden Markov Model with Gaussian Emission. CSR Aman Srivastava, Nitesh Kumar, Anand Handa, Sandeep K. Shukla
2023	A*	`conf`	Solving Hard Analogy Questions with Relation Embedding Chains. EMNLP Nitesh Kumar, Steven Schockaert
2023	J	`jnl`	Solving Hard Analogy Questions with Relation Embedding Chains. CoRR Nitesh Kumar, Steven Schockaert
2022	J	`jnl`	Application of Data Collected by Endpoint Detection and Response Systems for Implementation of a Network Security System based on Zero Trust Principles and the EigenTrust Algorithm. CoRR Nitesh Kumar, Gaurav S. Kasbekar, D. Manjunath
2022	J	`jnl`	Automated Windows behavioral tracing for malware analysis. Secur. Priv. Shubham Rana, Nitesh Kumar, Anand Handa, Sandeep K. Shukla
2022	J	`jnl`	First-Order Context-Specific Likelihood Weighting in Hybrid Probabilistic Logic Programs. CoRR Nitesh Kumar, Ondrej Kuzelka, Luc De Raedt
2022	J	`jnl`	Learning Distributional Programs for Relational Autocompletion. Theory Pract. Log. Program. Nitesh Kumar, Ondrej Kuzelka, Luc De Raedt
2022	J	`jnl`	Multimodal Neural Network For Demand Forecasting. CoRR Nitesh Kumar, Kumar Dheenadayalan, Suprabath Reddy, Sumant Kulkarni
2022	—	`conf`	Multimodal Neural Network for Demand Forecasting. ICONIP (3) Kumar Dheenadayalan, Nitesh Kumar, Suprabath Reddy, Sumant Kulkarni
2022	A	`conf`	RBMon: Real Time System Behavior Monitoring Tool. AsiaCCS Nitesh Kumar, Anand Handa, Sandeep K. Shukla
2022	—	`conf`	Volatility Custom Profiling for Automated Hybrid ELF Malware Detection. ICDF2C Rahul Varshney, Nitesh Kumar, Anand Handa, Sandeep Kumar Shukla
2021	—	`conf`	Adversaries Strike Hard: Adversarial Attacks Against Malware Classifiers Using Dynamic API Calls as Features. CSCML Hariom, Anand Handa, Nitesh Kumar, Sandeep Kumar Shukla
2021	A	`conf`	Context-Specific Likelihood Weighting. AISTATS Nitesh Kumar, Ondrej Kuzelka
2021	J	`jnl`	Context-Specific Likelihood Weighting. CoRR Nitesh Kumar, Ondrej Kuzelka
2020	—	`conf`	An Insecurity Study of Ethereum Smart Contracts. SPACE Bishwas C. Gupta, Nitesh Kumar, Anand Handa, Sandeep K. Shukla
2020	—	`conf`	Detecting Malicious Accounts on the Ethereum Blockchain with Supervised Learning. CSCML Nitesh Kumar, Ajay Singh, Anand Handa, Sandeep Kumar Shukla
2020	J	`jnl`	Learning Distributional Programs for Relational Autocompletion. CoRR Nitesh Kumar, Ondrej Kuzelka, Luc De Raedt
2020	—	`conf`	Malware Detection in Word Documents Using Machine Learning. ACeS Riya Khan, Nitesh Kumar, Anand Handa, Sandeep K. Shukla
2020	—	`conf`	Static Ransomware Analysis Using Machine Learning and Deep Learning Models. ACeS Kartikeya Gaur, Nitesh Kumar, Anand Handa, Sandeep K. Shukla
2020	J	`jnl`	Symbolic Learning and Reasoning With Noisy Data for Probabilistic Anchoring. Frontiers Robotics AI Pedro Zuidberg Dos Martires, Nitesh Kumar, Andreas Persson, Amy Loutfi, Luc De Raedt
2020	J	`jnl`	Symbolic Learning and Reasoning with Noisy Data for Probabilistic Anchoring. CoRR Pedro Zuidberg Dos Martires, Nitesh Kumar, Andreas Persson, Amy Loutfi, Luc De Raedt
2019	—	`conf`	Automated Classification of Web-Application Attacks for Intrusion Detection. SPACE Harsh Bhagwani, Rohit Negi, Aneet Kumar Dutta, Anand Handa, Nitesh Kumar, Sandeep Kumar Shukla
2019	J	`jnl`	Computational fluid dynamic study on effect of Carreau-Yasuda: Yasuda and Newtonian blood viscosity models on hemodynamic parameters. J. Comput. Methods Sci. Eng. Nitesh Kumar, Abdul Khader, Raghuvir Pai, Panayiotis A. Kyriacou, Sanowar H. Khan, Prakashini Koteshwara
2019	C	`conf`	Evading API Call Sequence Based Malware Classifiers. ICICS Fenil Fadadu, Anand Handa, Nitesh Kumar, Sandeep Kumar Shukla
2019	—	`conf`	Malware Classification Using Image Representation. CSCML Ajay Singh, Anand Handa, Nitesh Kumar, Sandeep Kumar Shukla
2019	—	`conf`	Malware Classification using Early Stage Behavioral Analysis. AsiaJCIS Nitesh Kumar, Subhasis Mukhopadhyay, Mugdha Gupta, Anand Handa, Sandeep K. Shukla
2019	—	`conf`	PeerClear: Peer-to-Peer Bot-net Detection. CSCML Amit Kumar, Nitesh Kumar, Anand Handa, Sandeep Kumar Shukla
2016	J	`jnl`	Linkage based deferred acceptance optimization. Inf. Sci. Deep Kiran, Bijaya K. Panigrahi, Swagatam Das, Nitesh Kumar
2015	—	`conf`	A smart and adaptive scheme for generator out of step protection. ISGT Asia Nitesh Kumar, D. R. Nagaraja, H. P. Khincha
2015	—	`conf`	Towards scalable quantile regression trees. IEEE BigData Harish S. Bhat, Nitesh Kumar, Garnet Jason Vaz
2014	C	`conf`	Semantic clustering-based cross-domain recommendation. CIDM Anil Kumar, Nitesh Kumar, Muzammil Hussain, Santanu Chaudhury, Sumeet Agarwal
2013	J	`jnl`	Achieving k-anonymity Using Improved Greedy Heuristics for Very Large Relational Databases. Trans. Data Priv. Korra Sathya Babu, Nithin Reddy, Nitesh Kumar, Mark Elliot, Sanjay Kumar Jena
2012	J	`jnl`	Option pricing under a normal mixture distribution derived from the Markov tree model. Eur. J. Oper. Res. Harish S. Bhat, Nitesh Kumar
2009	—	`conf`	Intelligent coding scheme for wireless image transmission over noisy channels. ICUMT Alakshendra Tripathi, Nilanjan Guha, Amit Poddar, Nitesh Kumar