Publications 

Student Advisee and Postdoc Mentees are marked with *

• Danda B. Rawat, "Towards Neuro-Symbolic AI for Assured and Trustworthy Human-Autonomy Teaming," Proc. of The Fifth IEEE International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications, November 1-3, 2023. Atlanta, GA, USA. 

• Olusola T Odeyomi*, Earl Tankard Jr.* and Danda B. Rawat, "Differentially Private Federated Learning With Stragglers' Delays In Cross-Silo Settings: An Online Mirror Descent Approach,"  IEEE Transactions on Cognitive Communications and Networking, Vol. x, No. x, pp, xx - xx, October 2023 (accepted)

• Manish Bhurtel∗, Yuba R. Siwakoti*, Danda B. Rawat, Brian M. Sadler, John M. Fossaceca and Daniel O. Rice, "Toward Scene Understanding with Depth and Object-Aware Clustering in Contested Environment," Proc. of the IEEE 22nd International Conference on Machine Learning and Applications (ICMLA), December 15 - 17, 2023, Jacksonville, FL, USA.

• Desta Haileselassie Hagos∗, Earl Tankard*, Manish Bhurtel*, Danda B. Rawat, "Optimal Asynchronous Federated Learning for the Internet of Battlefield Things (IoBT)," Proc. of the IEEE 22nd International Conference on Machine Learning and Applications (ICMLA), December 15 - 17, 2023, Jacksonville, FL, USA.

• Jose Ruiz Mejia* and Danda B. Rawat, "Automated Machine Learning Based Triage for Decision Support in Clinical and Urgent Care," Proc. of the IEEE 22nd International Conference on Machine Learning and Applications (ICMLA), December 15 - 17, 2023, Jacksonville, FL, USA.

• V. Gugueoth, S. Safavat*, S. Shetty and D. B. Rawat, "A review of IoT security and privacy using decentralized blockchain techniques," Elesvier Computer Science Review, Volume 50, pp. 100585, November 2023.

• Utsab Khakurel* and Danda B. Rawat, "Real-Time Physical Threat Detection on Edge Data Using Online Learning,"  IEEE Consumer Electronics Magazine, Vol. x, No, x, pp. x - x, 2023.

• Neji Mensi* and Danda B. Rawat, "Enhancing Security in NOMA-Based Networks: An Effective Deceptive Approach to Thwart Multiple Eavesdroppers," IEEE Conference on Communications and Network Security (IEEE CNS), 2–5 October 2023, Orlando, FL, USA. 

• Hassan El Alami*, Neji Mensi* and Danda B. Rawat, "On the Study of Joint Naive Bayes and Multi-Layer Perception for Detecting GPS Jamming in UAS," Proc. of the IEEE Global Communications Conference (IEEE GLOBECOM) 4–8 December 2023, Kuala Lumpur, Malaysia

• Aashma Uprety* and Danda B. Rawat, "Secure and Efficient Decentralized Analytics on Digital Twins Using Federated Learning," Proc. of the IEEE Global Communications Conference (IEEE GLOBECOM) 4–8 December 2023, Kuala Lumpur, Malaysia.

• Amani Alzahrani*, Danda B. Rawat, Tahani Baabdullah, Aeman Almotairi, "Assessing User's Credibility to Enhance Deep Learning-Based Misinformation Detection on Social Media," Proc. of the IEEE Global Communications Conference (IEEE GLOBECOM) 4–8 December 2023, Kuala Lumpur, Malaysia

• Neji Mensi*, Hassan El Alami and Danda B. Rawat, "Energy-Aware Lightweight PLKG in IMDs: A Deep Dive Into the Effects of Channel Fading Models," Proc. of the IEEE Global Communications Conference (IEEE GLOBECOM) 4–8 December 2023, Kuala Lumpur, Malaysia

• Ghada Abdelmoumin*, Danda B. Rawat and Abdul Rahman, "Studying Imbalanced Learning for Anomaly-Based Intelligent IDS for Mission-Critical Internet of Things," Journal of Cybersecurity and Privacy, 2023, 3, 706–743. https://doi.org/10.3390/jcp3040032

• Yuba Siwakoti* and Danda B. Rawat, "Investigating Security Vulnerability Exposure and TLS Ecosystem in Internet of Things Devices, " Proc. of the IEEE 24th International Conference on Information Reuse and Integration for Data Science (IEEE IRI 2023), August 4 - August 6, 2023. Bellevue, WA, USA.

• James McCoy*, Atul Rawal* and Danda B. Rawat, "Ensemble Learning for UAV Detection: Developing a Multi-Class Multimodal Dataset," Proc. of the IEEE 24th International Conference on Information Reuse and Integration for Data Science (IEEE IRI 2023), August 4 - August 6, 2023. Bellevue, WA, USA.

• Sanjeev Roka* and Danda B. Rawat, "Fine Tuning Vision Transformer Model for Facial Emotion Recognition: Performance Analysis for Human-Machine Teaming," Proc. of the IEEE 24th International Conference on Information Reuse and Integration for Data Science (IEEE IRI 2023), August 4 - August 6, 2023. Bellevue, WA, USA.

• Amani Alzahrani*, Tahani Baabdullah*, Aeman Almotairi*, and Danda B Rawat, "A Hybrid Deep Learning Architecture for Misinformation Detection on Social Media," Proc. of the IEEE 24th International Conference on Information Reuse and Integration for Data Science (IEEE IRI 2023), August 4 - August 6, 2023. Bellevue, WA, USA.

• Desta H. Hagos*, Earl Tankard Jr*, and Danda B. Rawat. "A Scalable Asynchronous Federated Learning for Privacy-Preserving Real-Time Surveillance Systems." IEEE INFOCOM 2023-IEEE Conference on Computer Communications Workshops, 17–20 May 2023, New York area, USA

• Sunitha Safavat* and Danda B. Rawat, "Improved Multi-Resolution Neural Network for Mobility-Aware Security and Content Caching for Internet of Vehicles," EEE Internet of Things Journal, 2023, Accepted.

• Danda B. Rawat and Hassan El Alami*, "Metaverse: Requirements, Architecture, Standards, Status, Challenges, and Perspectives," IEEE Internet of Things Magazine, 2023, Accepted.

• Md. Shirajum Munir, Sachin Shetty and Danda B. Rawat, "Trustworthy Artificial Intelligence Framework for Proactive Detection and Risk Explanation of Cyber Attacks in Smart Grid," Proceedings of the 2023 Winter Simulation Conference, December 10, 2023 - Wednesday, December 13, 2023, San Antonio, USA.

• Sanjeev Roka* and Danda B. Rawat, "Credibility Analysis for Social Media Content Using Sentence Transformer Based Machine Learning," Computing Conference 2023, 22-23 June 2023, London, United Kingdom.

• Neji Mensi* and Danda B. Rawat, "PLS of NOMA Relaying Networks Under Fisher-Snedecor F Composite Fading," 2023 IEEE International Conference on Communications (ICC): Communication and Information System Security Symposium - Communication and Information Systems Security, 28 May – 01 June 2023, Rome, Italy

• Hassan El alami*, Kendal Hall* and Danda B. Rawat, "Comparative Study of Machine Learning Techniques for Detecting GPS Spoofing Attacks on Mission Critical Military IoT Devices," 2023 IEEE International Conference on Communications (ICC) Workshop, 28 May – 01 June 2023, Rome, Italy

• Jessica Whitaker* and Danda Rawat, "Recent Advances in Cyberattack Detection and Mitigation Techniques for Renewable Photovoltaic Distributed Energy CPS," Computing Conference 2023, 22-23 June 2023, London, United Kingdom.

• Hassan Karim* and Danda B. Rawat, "End-to-end trustworthy ML for multidomain operations," Proc. of the SPIE Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications V, April 30 - 4, 2023, Orlando FL, USA. 

• Hassan El Alami*, Mary Nwosu*, Danda B. Rawat, "Joint human and autonomy teaming for defense: status, challenges, and perspectives," Proc. of the SPIE Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications V, April 30 - 4, 2023, Orlando FL, USA. 

• Earl Tankard*, Desta Hagos*, Danda B. Rawat, "Asynchronous federated learning for tactical autonomy," Proc. of the SPIE Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications V, April 30 - 4, 2023, Orlando FL, USA. 

• Utsab Khakurel*, Danda B. Rawat, "On the performance of machine learning fairness in image classification," Proc. of the SPIE Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications V, April 30 - 4, 2023, Orlando FL, USA. 

• Sunitha Safavat* and Danda B Rawat, "Energy-Efficient Resource Scheduling Using X-CNN and CD-SBO for SDN based MEC Enabled IoV" IEEE CCNC 2023, Las Vegas. 

• Desta Haileselassie Hagos* and Danda B. Rawat, "Recent Advances in Artificial Intelligence and Tactical Autonomy: Important Trends, Methods, Challenges, and Perspectives," Sensors 2022, 22(24), 9916; https://doi.org/10.3390/s22249916

• Demarcus Edwards*, Danda B. Rawat and Brian M. Sadler "Adversarial Promotion for Video based Recommender Systems," Proc. of the The Fourth IEEE International Conference on Cognitive Machine Intelligence, December 14-16, 2022.

•  Atul Rawal*, Adrienne Raglin, Danda B Rawat, and Brian M Sadler, "Causality and Machine Learning Review," Technical Report, Corporate Author: DEVCOM Army Research Laboratory,  October 17, 2022.

• Danda B. Rawat, "Artificial Intelligence Meets Tactical Autonomy: Challenges and Perspectives," Proc of the The Fourth IEEE International Conference on Cognitive Machine Intelligence, December 14-16, 2022. (Invited Vision Paper)

• M. Alsharif* and D. B. Rawat, "Performance Evaluation of Ensemble Machine Learning Techniques for IoT Edge Device Security," Proc. of the 2022 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI'22), DECEMBER 9-11, 2022, Fullerton,CA, USA.

• Felix Olowononi*, Danda B. Rawat, Charles A Kamhoua and Brian M. Sadler, "Deep Reinforcement Learning for Deception in IRS-Assisted UAV Communications,", Proc. of the IEEE  Military Communications Conference 2022, (IEEE MILCOM 2022), 28 November – 2 December 2022, National Capital Region, USA.

• Adrien Njanko* and Danda B Rawat, "On the Identification of Isomorphic Graphs for Graph Neural Network using Multi-Graph Approach," Proc of the 2022 IEEE 13th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON),  12 -15 October 2022. 

• James McCoy*, Atul Rawal*, Danda B. Rawat and Sadler, Brian "Ensemble Deep Learning for Sustainable Multi-Modal UAV Classification," IEEE Transactions on Intelligent Transportation Systems, Vol. x. No. x, pp. xx - xx, 2022 (accepted)

• Atul Rawal*, James McCoy*, Danda B. Rawat, Brian M. Sadler and Rob St. Amant, "Recent Advances in Trustworthy Explainable Artificial Intelligence: Status, Challenges and Perspectives," IEEE Transactions on Artificial Intelligence, Accepted for publication. https://doi.org/10.36227/techrxiv.17054396.v1 (accepted)

• DeMarcus Edwards*, Danda B. Rawat, Brian M. Sadler, "Study of Adversarial Machine Learning for Enhancing Human Action Classification," Proc of the IEEE 23rd International Conference on Information Reuse and Integration for Data Science, August 9 - August 11, 2022.

• Cesa Salaam* and Danda B. Rawat, "Terrorism Detection and Approaches to Fairness: A Brief Literature Review," Proc of the IEEE GHTC 2022,  September 8-11, 2022

• Bimal Ghimire* and Danda B. Rawat, "Recent Advances on Federated Learning for Cybersecurity and Cybersecurity for Federated Learning for Internet of Things," IEEE Internet of Things Journal, vol. x, no. x, pp. x - x, 2022. (Accepted)

• Jose Ruiz Mejia* and Danda B. Rawat, "Recent Advances in a Medical Domain Metaverse: Status, Challenges, and Perspective," Proc of the 2022 Thirteenth International Conference on Ubiquitous and Future Networks (ICUFN) 2022, July 5 - 8, 2022, Barcelona, Spain & Virtual Conference.

• Jose M. Ruiz Mejia*, Atul Rawal* and Danda B. Rawat. "Finite State Automata for Real-Time Health Electronic Record Update: A survey." 2022 IEEE Global Humanitarian Technology Conference (GHTC), Santa Clara, CA, USA, 08 - 11 September 2022.

• Neji Mensi* and Danda B. Rawat, "Security Analysis of NOMA-FSO/RF Network Over Double Shadowed kappa-mu and Málaga-M Channels," Proc. of the IEEE Global Communications Conference (IEEE GLOBECOM), 4–8 December 2022, Rio de Janeiro, Brazil.  

• Neji Mensi*, Danda B. Rawat and C. Liu, "Security Analysis of Mixed RF-FSO Blockage Attack Over Generalized RF Fading and Atmospheric Turbulence," Pro. of the IEEE Conference on Communications and Network Security (IEEE CNS), 3–5 October 2022, Austin, TX, USA.

• B. Salau*, A. Rawal*, and D. B. Rawat, "Recent Advances in Artificial Intelligence for Wireless Internet of Things  and Cyber Physical Systems: A  Comprehensive Survey,"  IEEE Internet of Things Journal,  Vol. x, No. x, pp: xx - xx,  2022 (accepted)

• Raina Rhoades*, Adebiyi Sobitan, Vidhyanand Mahase, Brhan Gebremedhin, Qiyi Tang, Danda Rawat, Hongbao Cao, Shaolei Teng, “Investigation of Systematic Missense Mutations Of Middle East Respiratory Coronavirus Spike Protein In Silico,” Journal of Frontiers in Molecular Biosciences, section Structural Biology, 2022  

• D. Adhikari, W. Jiang, J. Zhan, Z. He, D. B. Rawat, U. Aickelin and H. KhorshidI, "A Comprehensive Survey on Imputation of Missing Data in Internet of Things," ACM Computing Surveys, Vol. x, No. x, pp: xx - xx,  2022 (accepted)

• Manish Bhurtel*, Yuba R. Siwakoti* and Danda B. Rawat, "Phishing Attack Detection with ML-Based Siamese Empowered ORB Logo Recognition and IP Mapper," Proc of the IEEE INFOCOM BigSecurity Workshop, 2-5 May  2022. 

• E. Muhati*, Danda B. Rawat and Brian M. Salder, "A New Cyber-Alliance of Artificial Intelligence, Internet of Things, Blockchain, and Edge Computing" IEEE Internet of Things Magazine, Vol. x, No. x, pp: xx - xx, 2022 (to appear).

• N. Mensi* and Danda B Rawat, "On the Performance of Partial RIS Selection vs. Partial Relay Selection for Vehicular Communications," IEEE Transactions on Vehicular Technology, Vol. x, No. x, pp: xx -xx, 2022. DOI: 10.1109/TVT.2022.3177130

• Sunitha Safavat* and Danda B. Rawat, "OptiML: An Enhanced ML Approach Towards Design of SDN Based UAV Networks," in Proc. of the IEEE International Conference on Communications (IEEE ICC 2022), Seoul, South Korea, May 2022. (Accepted)

• Bimal Ghimire* and Danda B. Rawat, "Enhancing inference time and memory utilization for machine learning in resource constrained internet of battlefield things," Proc. of the SPIE Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV, April 2 -4, 2022. (Accepted)

• G. Abdelmoumin*, J. Whitaker*, D. B. Rawat, and A. Rahman, "A survey on data-driven learning for intelligent network intrusion detection systems. Electronics, Vol. 11m No. 2, p. 213 - 235, 2022 

• Atul Rawal*, James McCoy*, Adrienne Raglin, Danda B. Rawat and Brian M. Sadler, "Recent advances in multi-modal data fusion: status, challenges and perspectives,"  Proc. of the SPIE Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV, April 2 -4, 2022. (Accepted)

• Utsab B. Khakurel* and Danda B. Rawat, "Evaluating explainable artificial intelligence (XAI): algorithmic explanations for transparency and trustworthiness of ML algorithms and AI systems,"  Proc. of the SPIE Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV, April 2 -4, 2022. (Accepted)

• U. Khakurel*, G. Abdelmoumin*, A. Bajracharya* and Danda B. Rawat, "Exploring Bias and Fairness in Artificial Intelligence and Machine Learning Algorithms," Proc. of the SPIE Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV, April 2 -4, 2022. (Accepted)

• Ariful Haque, Sachin Shetty, Charles Kamhoua, Kimberly Gold., Attack Graph Embedded Machine Learning Platform for Cyber Situational Awareness, Milcom 2022

• A. K. Das, S. Roy, E. Bandara and S. Shetty, "Securing Age of Information (AoI)-Enabled 5G Smart Warehouse Using Access Control Scheme," in IEEE Internet of Things Journal, 2022, doi: 10.1109/JIOT.2022.3205245.

• Mohammad Wazid, Ashok Das and Sachin Shetty, "TACAS-IoT: Trust Aggregation Certificate-Based Authentication Scheme for Edge Enabled IoT Systems," , IEEE Internet of Things Journal,2022 

• Mohammad Wazid, Jaskaran Singh, Ashok Kumar Das, Sachin Shetty, Muhammad Khurram Khan, Joel Rodrigues, ASCP-IoMT: AI-Enabled Lightweight Secure Communication Protocol for Internet of Medical Things,," , IEEE Access,2022 (Accepted)

• Tan Le and Sachin Shetty, " Artificial Intelligence-aided Privacy Preserving Trustworthy Computation and Communication in 5G-based IoT Networks," , Adhoc Network Journal, vol 126, March 2022

• Eranga Herath,Sachin Shetty, Abdul Rahman, Ravi Mukkamalla, Xueping Liang, "Moose: A Scalable Blockchain Architecture for 5G Enabled IoT with Sharding and Network Slicing," 2022 IEEE Wireless Communications and Networking Conference (WCNC), Track 4- Emerging Technologies, Standards and Applications

• Md Ali Reza Al Amin, Peter Foytik,Sachin Shetty Jessica Dorismond, Marco Gamarra, "Deception for Characterizing Adversarial Strategies in Complex Networked Systems," IEEE CCNC 2022.

• Eranga Herath, Sachin Shetty, Abdul Rahman, Ravi Mukkamala,Juan Zhao, Xueping Liang, "Bassa-ML - A Blockchain and Model Card Integrated Federated Learning Provenance Platform," IEEE CCNC 2022.

• Kamrul Hasan, Sachin Shetty, Tariqul Islam, Imtiaz Ahmed, "Predictive Cyber Defense Remediation against Advanced Persistent Threat in Cyber-Physical Systems ," IEEE ICCCN 2022- Track 5: Security, Privacy, Trust, and Incentives.

• Joseph Zalameda, Brady Kruse, Alexander Glandon, Megan Witherow, Sachin Shetty, Khan Iftekharuddin, "Generalized Adversarial and Hierarchical Co-occurrence Network based Synthetic Skeleton Generation and Human Identity Recognition ," International Joint Conference on Neural Networks 2022.

• Georges Kamhoua, Eranga Herath, Peter Foytik, Priyanka Aggarwal and Sachin Shetty, "Resilient and Verifiable Federated Learning against Byzantine Colluding Attacks," IEEE TPS 2021

• Priyanka Aggarwal, Sayyed Ahamed, Sachin Shetty, Laura Freeman, "Targeted Transfer Learning for Malware Classification," IEEE TPS 2021 2021.

• Eranga Herath, Sachin Shetty, Abdul Rehman, Ravi Mukkamalla, "Let'sTrace - Blockchain, Federated Learning and TUF/In-ToTo Enabled Cyber Supply Chain Provenance Platform," IEEE Milcom 2021.

• M. A. R. A. Amin, Sachin Shetty, Laurent Njilla, Deepak Tosh and Charles Kamhoua, "Hidden Markov Model and Cyber Deception for the Prevention of Adversarial Lateral Movement," in IEEE Access, vol. 9, pp. 49662-49682, 2021, doi: 10.1109/ACCESS.2021.3069105.

• F. O. Olowononi*, A. H. Anwar, D. B. Rawat, J. C. Acosta and C. A. Kamhoua,"Deep Learning for Cyber Deception in Wireless Networks," Proc. of the 17th International Conference on Mobility, Sensing and Networking (MSN 2021), December 13-15, 2021, Exeter, UK

• D. B. Rawat, "Deep Transfer Learning for Physical Layer Security in Wireless Communication Systems," Proc. of the 2021 IEEE International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications, December 13 - 15, 2021.

• B. Ghimire*, D. B. Rawat and A. Rahman, "Data-Driven Quickest Change Detection for Securing Federated Learning for Internet-of-Vehicles," IEEE Global Communications Conference (GLOBECOM'21), 7-11 December 2021, Madrid, Spain.

• P. Rani, V. Kavita, S. Verma, D. B. Rawat and S. Dash, "Mitigation of Black Hole Attacks Using Firefly and Artificial Neural Network," Neural Computing and Applications (Springer), Vol. x, No. x, pp. x - x, 2022. 

• Ghada Abdelmoumin*, Jessica Whitaker*, Danda B. Rawat and Abdul Rahman, "A Survey on Data-Driven Learning for Intelligent Network Intrusion Detection Systems," Electronics Vol. 11, No. 2, Article # 213, 2022.   https://doi.org/10.3390/electronics11020213

• Hassan Karim* and Danda Rawat, "Evaluating Machine Learning Classifiers for Data Sharing in Internet of Battlefield Things," Proc. of the IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2021), December 4th – 7th 2021, Orlando, Florida, USA.

• ​Aashma Uprety* and Danda B. Rawat, "​Mitigating Poisoning Attack in Federated Learning," Proc. of the IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2021), December 4th – 7th 2021, Orlando, Florida, USA.

• A. Murray* and D. B. Rawat, "Recent Advances in Socially Relevant Computing: Status and Perspectives," IEEE Global Humanitarian Technology Conference (GHTC), October 19-23, 2021.

• G. Abdelmoumin*, D. B. Rawat and A. Rahman, "On the Performance of Machine Learning Models for Anomaly-Based Intelligent Intrusion Detection Systems for the Internet of Things,"  IEEE Internet of Things Journal, Vol. x, no. x, pp. xx - xx, 2021 (accepted)

• A. Murray* and D. B. Rawat, "Network Hazard Flow for Multi-Tiered Discriminator Analysis Enhancement with Systems-Theoretic Process Analysis," IEEE Global Humanitarian Technology Conference (GHTC), October 19-23, 2021.

• H. Attaullah, T. Kanwal, A. Anjum, G. Ahmed, S. Khan, Danda B. Rawat and R. Khan, "Fuzzy Logic-based Privacy-aware Dynamic Releaseof IoT-enabled Healthcare Data," IEEE Internet of Things Journal, Vol. x, no. x, pp. xx - xx, 2021 (accepted)

• Bimal Ghimire* and Danda B. Rawat, "Secure, Privacy Preserving and Verifiable Federating Learning using  Blockchain for Internet of Vehicles," IEEE Consumer Electronics Magazine, vol. x, no. x, pp. xx - xx, 2021 (accepted)

• M. Kumar*, P. Mukherjee, K. Kavita, S. Verma, and D. B. Rawat, "Improved Deep Convolutional Neural Network based Malicious Node Detection and Energy-Efficient Data Transmission in Wireless Sensor Networks," IEEE Transactions on Network Science and Engineering, vol. x, no. x, pp. xx - xx, 2021. (Accepted)

• H. Abbas*, N. Boskany, K. Ghafoor and D. B. Rawat, "Wi-Fi Based Accurate Indoor Localization System using SVM and LSTM Algorithms," Proc. of the IEEE 22nd International Conference on Information Reuse and Integration for Data Science (IEEE IRI 2021), August 10 - August 12, 2021. Taking Place Virtually.

• Neji Mensi*, Danda B. Rawat and E. Balti, "Gradient Ascent Algorithm for Enhancing Secrecy Rate in Wireless Communications for Smart Grid," IEEE Transactions on Green Communications and Networking, Vol. x, No. x, 2021. DOI: https://doi.org/10.1109/TGCN.2021.3093821

• DeMarcus Edwards* and Danda B. Rawat, "Study of Adversarial Machine Learning with Infrared Examples for Surveillance Applications," Electronics (Artificial Intelligence Section), Vol. 9. No, 8, pp: 1- 13 (1284 ), Aug. 2020.

• Naveen N. Sapavath* and Danda B. Rawat, "Learning Model for Cyber-attack Index Based Virtual Wireless Network Selection,"  Proc. of the 2021 ACM Workshop on Wireless Security and Machine Learning (ACM WiseML 2021), Abu Dhabi, UAE, June 28 - July 2 2021.

• Ghaida Alorini*,  Danda B. Rawat and Dema Alorini,"LSTM-RNN Based Sentiment Analysis to Monitor COVID-19 Opinions using Social Media Data," Proc. of IEEE ICC 2021, 14-23 June 2021, Virtual/Montreal.

• N. N. Sapavath*, D. B. Rawat and E. Muhati, "Prediction and Detection of Cyberattacks using AI Model in Secure Virtualized Wireless Networks," Proc. of the The 8th IEEE International Conference on Cyber Security and Cloud Computing (IEEE CSCloud 2021), June 26-28, Washington DC, USA.

• Eric Muhati* and Danda B. Rawat, "Adversarial Machine Learning for Inferring Augmented Cyber Agility Prediction," Proc. of the IEEE INFOCOM 2021 - BigSecurity 2021 Wkshps, 10-13 May 2021, Virtual Conference.

• A. Makkar*, U. Ghosh, D. B. Rawat and J. Abawajy, "FedLearnSP: Preserving Privacy and Security using Federated Learning and Edge Computing," IEEE Consumer Electronics Magazine, Vol. x, No. x, 2020.

• Naveen Naik Sapavath*, Danda B. Rawat and Min Song, "Machine Learning for RF Slicing using CSI Prediction in Software Defined Large-scale MIMO Wireless Networks," IEEE Transactions on Network Science and Engineering,  Vol. 7, No. 4, pp. 2137 - 2144, 2020.

• Atul Rawal*, Danda B. Rawat and Brian M. Sadler, "Recent Advances in Adversarial Machine Learning: Status, Challenges and Perspectives," Proc. of the SPIE 2021 Conference on Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III, 12 - 16 April 2021. 

• Acklyn Murray* and Danda B. Rawat, "Towards Botnet Hazard Analysis with Generative Adversarial Networks for Threat Detection," Proc. of the SPIE 2021 Conference on Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III, 12 - 16 April 2021. 

• Danda B Rawat, "Secure and Trustworthy Machine Learning and Articial Intelligence for Multi-Domain Operations," Proc. of the SPIE 2021 Conference on Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III, 12 - 16 April 2021. 

• Felix Olowononi*,  Danda B. Rawat and Chunmei Liu, "Resilient Machine Learning for Networked Cyber Physical Systems: A Survey for Machine Learning Security to Securing Machine Learning for CPS," IEEE Communications Surveys & Tutorials, Vol. x, No. x, pp: xx -xx, November, 2020.   

• Aashma Uprety* and Danda B. Rawat, "Reinforcement Learning for IoT Security: A Comprehensive Survey,"  IEEE Internet of Things Journal, Vol. 8, No. 11, pp. 8693 - 8706, 2020. 

• DeMarcus Edwards* and Danda B. Rawat, "Quantum Adversarial Machine Learning: Status, Challenges and Perspectives," Proc. of the 2020 IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (IEEE TPS-ISA 2020), December 1 - 3, 2020. 

• Aashma Uprety*, Danda B. Rawat and Jiang Li, "Privacy Preserving Misbehavior Detection in IoV using Federated Machine Learning," Proc. of the IEEE Consumer Communications & Networking Conference (IEEE CCNC 2021), 9-12 January 2021, Las Vegas, NV, USA.

• Ronald Doku* and Danda B. Rawat, "Mitigating Data Poisoning Attacks On a Federated Learning-Edge Computing Network," Proc. of the IEEE Consumer Communications & Networking Conference (IEEE CCNC 2021), 9-12 January 2021, Las Vegas, NV, USA.

• Naveen Naik Sapavath* and Danda B. Rawat, "Artificial Intelligence Assisted Wireless Resource Allocation for Wireless Network Virtualization," Proc. of the IEEE Consumer Communications & Networking Conference (IEEE CCNC 2021), 9-12 January 2021, Las Vegas, NV, USA. 

• Felix O. Olowononi*, Danda B. Rawat and Chunmei Liu, "Federated Learning with Differential Privacy for Resilient Vehicular Cyber Physical Systems," Proc. of the IEEE Consumer Communications & Networking Conference (IEEE CCNC 2021), 9-12 January 2021, Las Vegas, NV, USA. 

• Felix  Olowononi*, Danda B. Rawat, and C. Liu, "Trust-Based Adversarial Resiliency in Vehicular Cyber Physical Systems Using Reinforcement Learning" Proc. of the Eighth International Symposium on Security in Computing and Communications (SSCC'20) - SSCC’20 - Special Session, Chennai, India, October 14-17, 2020.