Workshop on Machine Intelligence in Networked Data and Systems (MINDS)
Schedule
| Monday, 6th January 2025 | ||
| Venue: SIGMA 1 | ||
| Time | Title | Speaker/Authors |
| Session 1 | ||
| 9:30 - 9:45 | Welcome by Workshop Chairs | |
| 9:45 - 10:30 | Keynote 1: Zero Knowledge Proofs for Privacy Preserving Authentication | Dr. Vishal Saraswat, Robert Bosch Engineering and Business Solutions |
| Paper Presentation (10 minute Presentation + 5 minute Q&A) | ||
| 10:30 - 10:45 | Paper 1: Explainable One Class Classification for ATM Fraud Detection | Yelleti Vivek (IDRBT), Vadlamani Ravi (IDRBT), Abhay Mane (C-DAC), Laveti Ramesh Naidu (C-DAC) |
| 10:45 - 11:00 | Paper 2: Online payment fraud monitoring and detection: Performance analysis of tree-based Ensemble Machine Learning models | Somnath Bhowmik (National Institute of Technology, Durgapur, West Bengal, India), Jaydeep Howlader (National Institute of Technology, Durgapur, West Bengal, India) |
| 11:00-11:30 | Tea/Coffee | |
| Session 2 | ||
| 11:30 - 12:15 | Keynote 2: AI-native 6G networks: a RAN perspective | Dr. Kishor Joshi, TU Eindhoven |
| 12:15 - 12:30 | Paper 3: XDATE: eXplainable Deep belief network-based Auto-encoder with exTended Garson Algorithm | Satyam Kumar (IDRBT and IITB) Ravi Vadlamani (IDRBT) |
| 12:30 - 12:45 | Paper 4: Graph based Conflict-Free Scheduling of Autonomous Vehicles at Unsignalized Intersections | Shraddha dulera (Institute of Infrastructure Technology Research and Management), Ramanarayan Yadav (Institute of Infrastructure Technology Research and Management), Manish Chaturvedi (Institute of Infrastructure Technology Research And Management, Gujarat, India) |
| 12:45 - 13:00 | Paper 5: Maximizing Utility and Quality in Smart Healthcare with Incentive Driven Hierarchical Federated Learning | Himanshu Singh (Indian Institute of Technology (BHU), Varanasi, Uttar Pradesh, India), Sourabh Patidar (Indian Institute of Technology (BHU), Varanasi, Uttar Pradesh, India), Ajay Pratap (Indian Institute of Technology (BHU), Varanasi, Uttar Pradesh, India), Keiichi Yasumoto (NAIST) |
| 13:00-14:00 | Lunch Break | |
| Session 3 | ||
| 14:00 - 15:00 | Keynote 3: From Concept to Implementation: Navigating the Journey to HyperAutomation in real time Network Operations | Dr. Shivananda R Poojara, Airowire |
| 15:00 - 15:15 | Paper 6: Unmasking Rumors on Social Media by Combining Affective Patterns Flow with User Behaviors | Asimul Haque (South Asian University, New Delhi, India), Muhammad Abulaish (South Asian University, New Delhi, India) |
| 15:15 - 15:30 | Paper 7: Enhanced Controller Placement Strategies in SDN: A Gravitational Search Algorithm Perspective | Kushi Karla (Rajiv Gandhi Institute of Petroleum technology, Jais Amethi), Abha Kumari (IIT Patna), Akash Yadav (Rajiv Gandhi Institute of Petroleum technology, Jais Amethi), Susham Biswas (Rajiv Gandhi Institute of Petroleum technology, Jais Amethi) |
| 15:30 - 15:45 | Paper 8: DBSCAN Clustering for User Pairing in Wireless Networks | Sharan Mourya (University of Illinois Urbana Champaign), Pavan Kumar Reddy Manne (WiSig Networks), SaiDhiraj Amuru (IIT Hyderabad), Kiran Kumar Kuchi (IIT Hyderabad) |
| 15:45 - 16:00 | Paper 9: Automated IoT Device Identification Based on Full Packet Information Using Real-Time Network Traffic | Swaroop Dora (IIIT Allahabad), Brijesh Peshvani (IIIT Allahabad), Ashutosh Kumar (IIIT Allahabad), Piyush Tiwari (IIIT Allahabad), S. Venkatesan (IIIT Allahabad), Sandeep Kumar Shukla (Indian Institute of Technology Kanpur), Rahamatullah Khondoker (THM Germany) |
| 16:00 - 16:30 | Tea Break | |
| Session 4 | ||
| 16:30 - 16:45 | Paper 10: Fourier Feature Extraction with Ensemble Approach for image based Malware Classification | Ashwini Chikkenakoppa (Indian Institute of Information Technology Dharwad), J Manish Kumar (Koneru Lakshmaiah Education Foundation), M S Bhargavi (Bangalore Institute of Technology), Pavan Kumar C (Indian Institute of Information Technology Dharwad) |
| 16:45 - 17:00 | Paper 11: Intelligent Algorithm for Optimizing Delivery Time in Electric Vehicle Fleet Systems | Chanakya Vasantha (Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram), Jaishree Mayank (Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram), Aman Agarwal (Indian Institute of Technology Patna), Arijit Mondal (Indian Institute of Technology Patna) |
| 17:00 - 17:15 | Paper 12: Smart-Wi-Cache: A Deep Learning Framework for Online Content Caching at the Wireless Edge | Lalfakzuala (National Insititute of Technology (NIT) Mizoram), Lalhruaizela Chhangte (National Insititute of Technology (NIT) Mizoram), K Vanlalawmpuia (National Insititute of Technology (NIT) Mizoram), C Lalengmawia (National Insititute of Technology (NIT) Mizoram) |
| 17:15 - 17:30 | Paper 13: TinyAP: A Smart Access Point to detect KRACK on WPA2 Handshake in Wi-Fi using TinyML | Anand Agrawal (Birla Institue of Technology and Science Pilani, India), Rajib Ranjan Maiti (BITS PILANI, Hyderabad Campus) |
| 17:30-18:00 | Closing & Best Paper Award announcement | |
Call for Papers
Camera Ready Guidelines
Accepted Papers
- Graph based Conflict-Free Scheduling of Autonomous Vehicles at Unsignalized Intersections
Shraddha Dulera (Institute of Infrastructure Technology Research and Management,Gujarat, India), Ramanarayan Yadav (Institute of Infrastructure Technology Research and Management,Gujarat, India), Manish Chaturvedi (Institute of Infrastructure Technology Research and Management,Gujarat, India) - Online payment fraud monitoring and detection: Performance analysis of tree-based Ensemble Machine Learning models
Somnath Bhowmik (National Institute of Technology, Durgapur, West Bengal, India), Jaydeep Howlader (National Institute of Technology, Durgapur, West Bengal, India) - XDATE: eXplainable Deep belief network-based Auto-encoder with exTended Garson Algorithm
Satyam Kumar (IIT Bombay), Ravi Vadlamani (IDRBT, Hyderabad) - Explainable One Class Classification for ATM Fraud Detection
Yelleti Vivek (IDRBT, Hyderabad), Ravi Vadlamani (IDRBT, Hyderabad), Abhay Mane (CDAC), Laveti Ramesh Naidu (CDAC) - Maximizing Utility and Quality in Smart Healthcare with Incentive Driven Hierarchical Federated Learning Himanshu Singh
(Indian Institute of Technology BHU, Varanasi, India), Sourabh Patidar (Indian Institute of Technology BHU) Varanasi, India), Ajay Pratap (Indian Institute of Technology BHU, Varanasi, India), Keiichi Yasumoto (NAIST) - Unmasking Rumors on Social Media by Combining Affective Patterns Flow with User Behaviors
Asimul Haque (South Asian University, New Delhi, India), Muhammad Abulaish (South Asian University, New Delhi, India - Enhanced Controller Placement Strategies in SDN: A Gravitational Search Algorithm Perspective
Kushi Karla (Rajiv Gandhi Institute of Petroleum technology, Jais Amethi, India), Abha Kumari (Rajiv Gandhi Institute of Petroleum technology, Jais Amethi, India), Akash Yadav (IIT Patna, India), Susham Biswas (Rajiv Gandhi Institute of Petroleum technology, Jais Amethi, India) - DBSCAN Clustering for User Pairing in Wireless Networks
Sharan Mourya (University of Illinois Urbana Champaign), Pavan Kumar Reddy Manne (WiSig Networks), SaiDhiraj Amuru (IIT Hyderabad), Kiran Kumar Kuchi (IIT Hyderabad) - Fourier Feature Extraction with Ensemble Approach for image based Malware Classification
Ashwini Chikkenakoppa (Indian Institute of Information Technology Dharwad), J Manish Kumar (Koneru Lakshmaiah Education Foundation), M S Bhargavi (Bangalore Institute of Technology), Pavan Kumar C (Indian Institute of Information Technology Dharwad) - Intelligent Algorithm for Optimizing Delivery Time in Electric Vehicle Fleet Systems
Chanakya Vasantha (Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram), Jaishree Mayank (Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram), Aman Agarwal (IIT Patna, India), Arijit Mondal (IIT Patna, India) - Smart-Wi-Cache: A Deep Learning Framework for Online Content Caching at the Wireless Edge
Lalfakzuala (NIT Mizoram), Lalhruaizela Chhangte (NIT Mizoram), K Vanlalawmpuia (NIT Mizoram), C Lalengmawia (NIT Mizoram) - TinyAP: A Smart Access Point to detect KRACK on WPA2 Handshake in Wi-Fi using TinyML
Anand Agrawal (Birla Institue of Technology and Science Pilani, India), Rajib Ranjan Maiti (BITS PILANI, Hyderabad Campus) - Automated IoT Device Identification Based on Full Packet Information Using Real-Time Network Traffic
Swaroop Dora (IIIT Allahabad), Brijesh Peshvani (IIIT Allahabad), Ashutosh Kumar (IIIT Allahabad), Piyush Tiwari (IIIT Allahabad), S. Venkatesan (IIIT Allahabad), Sandeep Kumar Shukla (Indian Institute of Technology Kanpur), Rahamatullah Khondoker (THM Germany)
Important Dates
| Paper Submission deadline: |
| Notification of Acceptance: 3rd December 2024 |
| Camera-ready Submission: 10th December 2024 |
| Workshop Date:: 6th January 2025 |
Workshop Overview
As connectivity and storage are getting cheaper, we are seeing more opportunities for data-driven approaches for Networked Data and Systems. The adaptation of machine learning, artificial intelligence, and data analytics techniques in these networked systems is set to transform and disrupt many areas of business and everyday human life. The MINDS (Machine Intelligence in Networked Data and Systems) workshop (co-located with COMSNET 2025) aims to bring together researchers and practitioners to understand and explain this inter-working of machine learning, big data analytics, and networked systems for various application domains.
MINDS welcomes original research submissions that define challenges, report experiences, or discuss progress toward design and solutions that integrate machine learning, artificial intelligence, data analytics, deep learning, mobile systems, and networked systems in various application areas. These application areas include but are not limited to healthcare, environment, retail, transportation, life sciences, e-commerce and cloud services. Contributions describing techniques applied to real-world problems and interdisciplinary research involving novel networking architectures, system designs, IoT systems, big data systems that use techniques from machine learning, artificial intelligence, deep learning, and data analytics as the core component are especially encouraged.
Benefits of Paper submission:
- Chance to present paper to a focused target audience from around the globe
- Global media coverage
The topics of interest include but are not limited to:
Applications
- Design and implementation of intelligent systems for applications such as home automation, self-driving vehicles, driver assistance systems, supply chain, and logistics
- Cloud based machine and deep learning applications in retail and e-commerce
- Machine learning systems for healthcare, weather modeling, financial services, life sciences, and environment monitoring
Internet of Things (IoT)
- Machine learning driven systems using mobile phones, embedded devices, and sensor networks
- Applications of machine learning in IoT, IIoT, manufacturing, and supply chain optimisation
- Experiences in managing wearable devices, smart-home systems and mobile sensor networks
- Learning with Noisy Labels and Adversarial Robustness
Networking
- Root cause analysis and failure prediction using system and network logs
- Applications of machine/deep/reinforcement learning in satellite networks, cellular networks and WiFi networks
- Machine learning driven algorithms and tools for network anomaly detection. Privacy and and network security
- Machine learning and data mining of large-scale network measurements
- Stream-based machine learning for networked data
- Machine learning driven algorithms for network scheduling and control
- Challenges and solutions in IoT data and stream processing at the edge and in the cloud
- Offloading for IoT-Fog interconnection networks
- High dimensional big data (images, videos) analysis using machine/deep learning
- Scalability, privacy, and security of networked learning architectures
- Applications of machine/deep/reinforcement learning for Intent-based Networking (IBN): Intent expression through Natural Language Processing (NLP) and automated policy conflict detection and resolution
- Automated assurance for self-managed networks (Self-Healing, Self-Configuration, Self-Optimization, Self-Protection)
Privacy Enhancing Technologies (PET)
- Privacy in Collaborative Learning, Anonymization
- Differential Privacy, Analysis on Private Data
- Privacy in Federated Learning, Split Learning, and Confidential Computing
- Privacy in Distributed Learning for distributed computation
- Mechanisms using Secure Multi-party Computation, Homomorphic Encryption
- Privacy attacks related to training or inference model, Protection of model at rest and transit
Social Media Networks
- Machine learning driven analysis of text, image, and video data on social media
- Security, privacy, trust analysis, health analytics in social media and digital networks
- Information diffusion modeling and inference, fake news detection, and knowledge transfer in social media and digital networks,
- Anomaly and outlier detection in social networks
- Computational models and agent-based simulations of social networks
- Reinforcement learning, Inverse reinforcement learning, and other learning-based interventions for tackling misinformation spread.
Submission Guidelines
- MINDS invites submission of original work not previously published, or under review at another conference or journal.
- Submissions (including title, author list, abstract, all figures, tables, references, appendix) must be no greater than 6 pages in length.
- Reviews will be double-blind: Information about the authors will not be shared with the reviewers during the review process. The submitted paper should be anonymous and not have any reference to the authors names and/or institution.
- Submissions must follow the formatting guidelines as given on IEEE Website; and those that do not meet the size and formatting requirements will not be reviewed.
- All papers must be in Adobe Portable Document Format (PDF) and submitted through the MINDS Workshop submission site on HOTCRP.
- All workshop papers will appear in the conference proceedings and be submitted to IEEE Xplore as well as other Abstracting and Indexing (A&I) databases.
Papers can be submitted through HOTCRP : https://comsnets25minds.hotcrp.com/.
For any queries, please contact us at MINDS Chairs:comsnets.minds@gmail.com comsnets.workshop@gmail.com
Keynote Speakers
Kishor Joshi
TU Eindhoven, NetherlandsVisit Homepage
Kishor Chandra Joshi is an Assistant professor with Advanced Networking Lab (ANL) and Centre for Wireless Technology Eindhoven(CWTe) in Electrical Engineering Department of TU Eindhoven, The Netherlands since 2021. Before joining TU Eindhoven, he was a postdoctoral researcher at University of Amsterdam (2020/21), University of Paris-Saclay and CNRS in Paris, France (2019/2020) and Delft University of Technology, The Netherlands (2017/2018). He received his PhD in 2017 from Delft University of Technology, Netherlands. From 2009-2011, he was a research engineer with the Center for Development of Telemetics (CDOT), New Delhi, India, working on IP Multimedia Subsystems. He received his Masters(M.Tech) degree in Signal Processing from Indian Institute of Technology (IIT) at Guwahati, India in 2009 and his Bachelors of Engineering (B.E.) degree in Electronics and Communications Engineering from K.E.C. Dwarahat, Uttarakhand, India in 2007. He is recipient of the prestigious Marie-Curie Postdoctoral fellowship (MSCA-IF) from the European Commission in 2018. He was also awarded ERCIM Alain Bensoussan Postdoctoral Fellowship in 2016-17. His research interests are in Resource allocations in the cloud-native and AI-centric implementation of 5G/6G Networks considering the Open-RAN architecture and the use of Network Digital Twins. He is also a contributing member of the IEEE Tactile Internet standardization work group.
Shivananda R Poojara
University of Tartu, EstoniaVisit Homepage
Dr. Shivananda R. Poojara holds a Ph.D. from the University of Tartu, Estonia, and currently serves as a Solution Architect for Cloud and Edge Computing at Airowire. With over a decade of expertise in digital transformation and consulting, he has been worked with many technologies landscape primarily cloud, edge computing, enterprise networks and IoT systems. He has conducted research in scalable IoT data processing using serverless technologies. His research interests focus on serverless computing, edge analytics, fog computing, and cloud computing. Dr. Poojara is a member of prestigious organizations such as IEEE, IET, and ISTE, and worked at Nokia R&D Labs and was honored with the Infosys Distinguished Facilitator Awar. Committed to knowledge-sharing, he has delivered numerous workshops and technical seminars, reaching the students across India, Estonia, and Malaysia. Dr. Poojara is also the co-author of Mastering Cloud Computing, published by McGraw Hill India, which has been adopted as a textbook in several universities.
Vishal Saraswat
Bosch Global Software Technologies Pvt. Ltd, Bangalore, IndiaVisit Homepage
Dr. Vishal Saraswat, a prominent leader in the field of cybersecurity and cryptography, is the Head of Research & Innovation, at Cybersecurity Practice, Bosch Global Software Technologies Pvt. Ltd. (BGSW) in Bangalore, India, where he drives cybersecurity research, innovation, competence development, and crypto services. Dr. Saraswat's research interests span anonymity and privacy in communication protocols, searchable encryption for cloud services, lightweight cryptography for IoT devices, post-quantum cryptography, cryptanalysis, and hardware security. He has published extensively in international journals and conferences and has supervised numerous Ph.D., M.Tech, and M.S. student projects on these topics. Dr. Saraswat earned his Ph.D. in Cryptography from the University of Minnesota, Minneapolis, and has held regular and visiting positions at several prestigious institutions, including IIT Jammu, ISI Kolkata, IIT Hyderabad, University of Hyderabad, and AIMSCS, Hyderabad. Dr. Saraswat is a Distinguished Expert on the Board of Academics of the Department of Mathematics at MNNIT Allahabad and is an executive committee member of the Cryptology Research Council of India. Dr. Saraswat has served on editorial boards of various security and cryptography journals and has co-authored the book "Introduction to Cryptography". In addition to his academic and research contributions, Dr. Saraswat actively engages in raising cybersecurity awareness through media contributions and training programs for intelligence agencies, defense organizations, academic institutions, and policymakers.
Technical Program Committee
- Soubhagya Sankar Barpanda, VIT AP
- Bhavika, UoH
- Debarati B. Chakraborty, Hull
- Subhrendu Chattopadhyay, IDRBT
- Andrey Chechulin, St. Petersburg Federal Research Center of Russian Academy of Sciences (SPC RAS)
- Anestis Dalgkitsis, University of Asmterdam
- Dibyasundar Das, IEEE
- Dimitrios Dechouniotis, National Technical University of Athens (NTUA)
- Subhasish Dhal, Indian Institute of Information Technology Guwahati
- Maria Diamanti, National Technical University of Athens (NTUA)
- Angelos Dimoglis, University of Amsterdam
- Ioannis Dimolitsas, National Technical University of Athens (NTUA)
- Khai Doan, Korea University
- Aroosa Hameed, Postdoctoral Fellow, Carleton University
- Grigorios Kakkavas, National Technical University of Athens (NTUA)
- Harsh Kasyap, University of Warwick
- Sangrez Khan, École de technologie supérieure ÉTS Montreal
- Niraj Kumar, IIT Goa
- Suchi Kumari, Shiv Nadar Institute of Eminence
- Sharath M Shankaranarayana, Ericsson
- Jaishree Mayank, Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram
- Ramy Mohamed, Carleton University
- Shubha Brata Nath, Indian Institute of Information Technology Guwahati
- Deepak Ranjan Nayak, MNIT Jaipur
- Ram Prasad Padhy, IIT Bhubaneswar
- Amir Ali Pour, École de technologie supérieure ÉTS Montreal
- Ajay Pratap, IIT BHU
- Preeth Raghuraman, Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram
- Dipanajan Roy, IDRBT
- Tejaswi Ruttala, UoH
- Sravan S S, NIT Trichy
- Pranay Saha, IITISM
- Anurag Satpathy, Missouri University of Science and Technology
- Hemraj Singh, NIT Warangal
- Dimitrios Spatharakis, National Technical University of Athens (NTUA)
- Konstantinos Tsitseklis, National Technical University of Athens (NTUA)
- Ravi Vadlamani, IDRBT
- Akash yadav, Rajiv Gandhi Institute of Petroleum technology, Jais Amethi
- Ramnarayan Yadav, Institute of Infrastructure, Technology, Research And Management (IITRAM)
- JosŽ Zerna Torres, University of Amsterdam
Workshop Co-Chairs
Marios Avgeris
University of Amsterdam, Netherlands
Susmita Mandal
IDRBT Hyderabad, India
Sanjeet Kumar Nayak
IIITDM Kancheepuram, India
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