11–12 September 2026  |  UPES Dehradun, Uttarakhand
Sponsored by IEEE UP Section Conference Record #70668 conference_socs@ddn.upes.ac.in
ICACSDF 2026
IEEE Uttar Pradesh Section Anusandhan National Research Foundation CompTIA IEEE UP Section conference mark

Sponsored by IEEE UP Section Conference Record #70668

conference_socs@ddn.upes.ac.in
11–12 September 2026 · UPES Dehradun

Technical Programme

Ten parallel tracks run on each day. Use the search box to find a paper or presentation ID.

Day 1 · Friday, 11 September 2026
Inaugural session from 1100 Hrs, technical sessions from 2:15 PM
Inaugural Session — Minute-to-Minute Programme
Multipurpose Academic Centre, UPES, Bidholi, Dehradun  ·  1100 Hrs onwards
TimingsEvent
08:30–10:00 Hrs Registration Starts
11:00 Hrs Arrival of the Chief Guest, Hon’ble Governor, Uttarakhand
11:01–11:05 Hrs
  • National Song “Vande Mataram”Duration – 3 minutes 10 seconds
  • National AnthemDuration – 52 seconds
11:05–11:10 Hrs Conference Overview by Dr Sushabhan Choudhury, Organising Chair
11:10–11:20 Hrs Welcome Address by Prof (Dr) Sunil Rai, Vice-Chancellor, UPES
11:20–11:30 Hrs Address by Guest of Honour Prof (Dr) Durgesh Pant, Director General, UCOST, GoUK
11:30–11:32 Hrs Unveiling of the Conference Souvenir by Hon’ble Governor and other dignitaries
11:32–11:47 Hrs Address by Hon’ble Governor, Uttarakhand
11:47–11:50 Hrs Vote of Thanks by Dr Ram Sharma, President, UPES
11:50–11:55 Hrs
  • National Song “Vande Mataram”Duration – 3 minutes 10 seconds
  • National AnthemDuration – 52 seconds
11:55–12:05 Hrs Media Bite
12:05 Hrs Departure of the Hon’ble Governor, Uttarakhand
Approved minute-to-minute programme issued by the Office of the ADC to the Hon’ble Governor, Lok Bhavan, Uttarakhand. Timings are as approved and are subject to protocol requirements on the day.
Keynote Addresses — Day 1
Following the inaugural session
TimeCategorySpeakerTopic
11:10 AM – 11:40 AM Keynote Prof. Goutam PaulProfessor, Electronics and Communication Sciences Unit (ECSU), Indian Statistical Institute (ISI), Kolkata Topic to be announced
11:45 AM – 12:15 PM Keynote Prof. Steven GalbraithHead of Department & Professor, Mathematics Department, Cyber Security Foundry, University of Auckland, New Zealand Topic to be announced
12:20 PM – 12:50 PM Keynote Prof. Sipra Das BitProfessor, Department of Computer Science and Technology, Indian Institute of Engineering Science and Technology (IIEST), Shibpur Powering Industry 4.0 under the changing threat landscape
12:55 PM – 1:25 PM To be announced Topic to be announced
Technical Sessions · Day 1
Paper presentations 2:15 PM – 5:25 PM · ten parallel tracks
Track 1: AI & ML in Cybersecurity (1/3)
TimingsPresentation IDPaper IDPaper Title
2:15-2:30 PMICACSDF_00151Quantum AI War Nexus: The Fusion of Battlefield Simulation, Autonomous Threat Detection, and Superintelligent Combat Assistants
2:30-2:45 PMICACSDF_002197Detecting Deepfakes in Images using Fourier Spectrum Signatures based Forensic Analysis
2:45-3:00 PMICACSDF_003294Federated Learning Approaches for Intrusion Detection in the Cloud Systems
3:00-3:15 PMICACSDF_004395A Privacy-Preserving Offline Attendance System Using Biometric-Gated BLE Advertising, TinyML-Based Presence Classification, and Edge RSSI Intelligence
3:15-3:30 PMICACSDF_005417Self-Evolving Agentic AI Framework for Autonomous Network Defense using Multi-Agent Reinforcement Learning
Buffer / Q&A (3:30-3:45 PM)
TEA BREAK (3:45-3:55 PM)
3:55-4:10 PMICACSDF_006419Federated Deep Learning–Driven Intelligent Brain–Computer Interface Architecture for Real-Time Adaptive Neural Signal Decoding
4:10-4:25 PMICACSDF_007443A Zero-Trust and Federated Learning-Based Secure IoT Architecture for Smart Applications
4:25-4:40 PMICACSDF_008445DeepSecure-AS: A CNN-Based Intelligent Intrusion Detection Framework for Autonomous Systems
4:40-4:55 PMICACSDF_009573Transforming Cybersecurity Monitoring AI agents for Next-Generation Network Security and Warning Systems
4:55-5:10 PMICACSDF_010577Hybrid Defense Mechanisms Against Backdoor Attacks in Federated Learning Systems
Buffer / Q&A (5:10-5:25 PM)
Track 2: AI & ML in Cybersecurity (3/3)
TimingsPresentation IDPaper IDPaper Title
2:15-2:30 PMICACSDF_011770Security-Aware Multi-View Graph Contrastive Learning for Network Intrusion Detection
2:30-2:45 PMICACSDF_012826Driving Sustainable Organisational Performance Through HRM Practices: The Mediating Role of AI Readiness in Indian Banking
2:45-3:00 PMICACSDF_013848A Deep Learning–Based Multi-Format File Security Framework for Zero-Day Malware Detection and Image Steganalysis
3:00-3:15 PMICACSDF_014865A Hybrid AI-Based Job Recommendation and Fraud Detection System Using NLP and Machine Learning Techniques
3:15-3:30 PMICACSDF_015889Signal Intelligence-Based Secure Monitoring Using an Efficient Deep Learning Architecture
Buffer / Q&A (3:30-3:45 PM)
TEA BREAK (3:45-3:55 PM)
3:55-4:10 PMICACSDF_016909AI-Driven Phishing Detection as a Human-Layer Defense for Cyber-Physical Systems
4:10-4:25 PMICACSDF_017911Semantic vs Lexical URL Representations for Phishing Detection: A Comparative Study Using LLM Embeddings, Hybrid Fusion, and Classical Machine Learning
4:25-4:40 PMICACSDF_018919Secure Digital Healthcare Analytics for Early-Stage Diabetes Prediction Using Feature Processing and Supervised Learning
4:40-4:55 PMICACSDF_019925AI-Driven Surveillance Systems: Security Threats and Challenges
4:55-5:10 PMICACSDF_020937Deep Learning–Driven Congestion Control for Reliable Data Transfer in Heterogeneous Networks
Buffer / Q&A (5:10-5:25 PM)
Track 3: IoT Security (3/3)
TimingsPresentation IDPaper IDPaper Title
2:15-2:30 PMICACSDF_021774Federated Learning Based Intrusion Detection in Heterogeneous IoT Networks
2:30-2:45 PMICACSDF_022786ExplainIoT: LLM-Assisted Explainable IoT Device Identification Using Transformer-Based Network Traffic Analysis
2:45-3:00 PMICACSDF_023887Self-Learning Intrusion Response System for IoT Networks Using Online Reinforcement Learning
3:00-3:15 PMICACSDF_024897Design and Implementation of an AI-Driven Zero Trust Architecture for Adaptive, Risk-Based Authentication in Secure Cloud-Based Applications
3:15-3:30 PMICACSDF_025916On Preventing Outage in WSNs Due to Vulnerability Exploitation Using Bayesian Network and Game Theory
Buffer / Q&A (3:30-3:45 PM)
TEA BREAK (3:45-3:55 PM)
3:55-4:10 PMICACSDF_026299An Integrated Anti-Poaching Alarm System Enhancing Wildlife Conservation through Real-Time Detection and Remote Notification
4:10-4:25 PMICACSDF_027808Evaluating USB HID Trust Gaps in Modern Operating Systems
4:25-4:40 PMICACSDF_028881AI-Based Cybersecurity and Digital Forensics for IoT: Comparative Analytics and Performance Evaluation
4:40-4:55 PMICACSDF_029933Attention-Enhanced MobileNet Deep Feature Extraction for UAV-Based Multi-Species Plant Disease Identification
4:55-5:10 PMICACSDF_030935Agentic AIOps for Network Log Analysis: A ReAct-Based Autonomous Agent for SSH Fault Detection and Remediation
Buffer / Q&A (5:10-5:25 PM)
Track 4: Digital Forensics (2/2)
TimingsPresentation IDPaper IDPaper Title
2:15-2:30 PMICACSDF_031719Physics-Guided Unrolled Optimization for Single Image Dehazing
2:30-2:45 PMICACSDF_032800FC-Trace: Rapid and Reliable Forensic Timeline Reconstruction from ext4 Fast-Commit Metadata
2:45-3:00 PMICACSDF_033803ARTIFICIAL INTELLIGENCE AND DIGITAL EVIDENCE: REIMAGINING STANDARDS OF AUTHENTICITY AND ADMISSIBILITY IN CRIMINAL PROCEEDINGS
3:00-3:15 PMICACSDF_034833CCTV CAMERA USAGE AND ITS APPLICATION IN DETERMINATION OF PROBABLE VEHICLE INVOLVED IN CASE OF DOUBT: EXTRACTION OF EVIDENCE AND DATA
3:15-3:30 PMICACSDF_035841Unveiling the Invisible: Forensic Reconstruction of Private Browsing Sessions Using Cross-Layer Artifacts
Buffer / Q&A (3:30-3:45 PM)
TEA BREAK (3:45-3:55 PM)
3:55-4:10 PMICACSDF_036869ML Models for Phishing Website Prediction: A Comparative Study of LR and RF algorithms
4:10-4:25 PMICACSDF_037891AI in QR Code Security: A Detailed Examination of AI-Driven Detection Methods, Rising Threats, and Prospective Research Avenue
4:25-4:40 PMICACSDF_038902Hybrid Transformer–Graph Neural Network Framework for Memory-Based Malware Detection Using KNN Graph Construction
4:40-4:55 PMICACSDF_039939Machine Learning-Based Detection of Remote Access Trojans Using Static and Network Analysis
4:55-5:10 PMICACSDF_040920Unified EvoKAN: An Engineering Framework for Interpretable and Automatically Optimized Multi-Domain Medical Diagnosis
Buffer / Q&A (5:10-5:25 PM)
Track 5: Malware Analysis & Detection (2/2)
TimingsPresentation IDPaper IDPaper Title
2:15-2:30 PMICACSDF_041736OptWeight-Mal:Optuna-Driven Weighted Ensemble Learning for Large Scale Static PE Malware Detection with SHAP Explainability
2:30-2:45 PMICACSDF_042768Design and Development of a Ransomware Resilience and Recovery Model for Critical Healthcare Infrastructure
2:45-3:00 PMICACSDF_043783MemForensics: A Behavior-Based Memory Forensics Framework for Detecting Fileless Malware
3:00-3:15 PMICACSDF_044787LLM-Enhanced Intelligent Flask Application for Malware Classification Using Explainable Artificial Intelligence
3:15-3:30 PMICACSDF_045793FAIM-RD: Forensic Artifact-Driven Interpretable Machine Learning for Ransomware Behavior Detection
Buffer / Q&A (3:30-3:45 PM)
TEA BREAK (3:45-3:55 PM)
3:55-4:10 PMICACSDF_046896Real-Time Detection of Halo Coronal Mass Ejections from Solar Wind Data
4:10-4:25 PMICACSDF_047910LightGBM-Based Multi-Class Malware Detection via Static PE Feature Fusion
4:25-4:40 PMICACSDF_048947AI in Cybersecurity: Opportunities, Risks, and the Emergence of Agentic AI Systems
4:40-4:55 PMICACSDF_049599Cost-Sensitive Credit Card Fraud Detection Using Machine Learning
4:55-5:10 PMICACSDF_050622AI-Powered Zero-Day Vulnerability Discovery Using Static Analysis and Code Property Graph Neural Networks
Buffer / Q&A (5:10-5:25 PM)
Track 6: Privacy & Information Security (2/2)
TimingsPresentation IDPaper IDPaper Title
2:15-2:30 PMICACSDF_051744Right to Be Forgotten in AI-Driven Insurance: Limits of Data Erasure in Predictive Risk Modelling
2:30-2:45 PMICACSDF_052775TrustNet-IDS: A Trustworthy Hybrid TransformerXGBoost Framework for Intelligent Intrusion Detection
2:45-3:00 PMICACSDF_053789Explainable and Generalizable Machine Learning for Cyber Threat Intelligence and Intrusion Detection
3:00-3:15 PMICACSDF_054828Multi-Modal Deep Autoencoder for Flow-Based Intrusion Detection
3:15-3:30 PMICACSDF_055852A Multi-Stage Hybrid Intrusion Detection System Integrating Signature-Based Matching and Anomaly-Based Machine Learning Engines
Buffer / Q&A (3:30-3:45 PM)
TEA BREAK (3:45-3:55 PM)
3:55-4:10 PMICACSDF_056932Explainable Data Analytics and Machine Learning Framework for Graduate Employability Prediction
4:10-4:25 PMICACSDF_057938Adversarial Resilience of Gradient Boosting Ensembles for Multiclass V2V Misbehavior Detection
4:25-4:40 PMICACSDF_058943Scalable Network Traffic Analysis & Anomaly Detection Using Python Libraries & Interactive Dashboard
4:40-4:55 PMICACSDF_059582Lightweight Cryptographic Protocols for Secure Federated Edge Intelligence
4:55-5:10 PMICACSDF_060874A Containerized Data-Driven MLOps Framework for Healthcare AI
Buffer / Q&A (5:10-5:25 PM)
Track 7: Blockchain Technology (2/2)
TimingsPresentation IDPaper IDPaper Title
2:15-2:30 PMICACSDF_061690Blockchain Consensus Mechanisms for Secure and Energy-Efficient Internet of Medical Things (IoMT): A Systematic Review, Statistical Analysis, and Proposed Hybrid Framework
2:30-2:45 PMICACSDF_062721An Explainable AI Framework for Stroke Risk Prediction with Secure Healthcare Data Management
2:45-3:00 PMICACSDF_063741StegoChain: A Decentralised Secure Communication Platform Using Steganography, Blockchain, and Graph AI
3:00-3:15 PMICACSDF_064784A Validator-Based Algorithm with Integrated Slashing for Mitigating Sybil Attacks in Blockchain-Enabled Supply Chain Systems
3:15-3:30 PMICACSDF_065794A Digital Twin-Based Privacy Governance Architecture for Real-Time Monitoring of Personal Data Processing in Artificial Intelligence Systems
Buffer / Q&A (3:30-3:45 PM)
TEA BREAK (3:45-3:55 PM)
3:55-4:10 PMICACSDF_066853Zero Knowledge Proof-Based Blockchain Framework for Secure Data Sharing in Smart Cities
4:10-4:25 PMICACSDF_067867A Reputation-Based Evolutionary Game-Theoretic Analysis for Incentivizing Honest Participation in Threshold Blockchain Systems for Clinical Trial Data Sharing
4:25-4:40 PMICACSDF_068918A Scalable Blockchain-Based Dual-Layer Crowdsourcing Framework with Secure Reputation Preservation
4:40-4:55 PMICACSDF_069574KalvTech: A Narrative-Driven Security Operations Training Platform
4:55-5:10 PMICACSDF_070675Metasploit Command and Control Framework for Linux Victim Systems
Buffer / Q&A (5:10-5:25 PM)
Track 8: Web Security (2/2)
TimingsPresentation IDPaper IDPaper Title
2:15-2:30 PMICACSDF_071780A Comparative Study of Routing Protocols for Flying Ad-Hoc Networks
2:30-2:45 PMICACSDF_072795Deepfake Detection using Hybrid Deep Learning–Based Multimodal Forensics
2:45-3:00 PMICACSDF_073817Detecting Adversarial Attacks in Web Security Systems Using Explainable AI
3:00-3:15 PMICACSDF_074818Hybrid CNN–LSTM Framework for Detecting AI-Generated Phishing Attacks in Web Applications
3:15-3:30 PMICACSDF_075822Towards Intelligent and Secure Web 3.0 Ecosystems: Architecture, Enabling Technologies, AI-Based Security, and Future Directions
Buffer / Q&A (3:30-3:45 PM)
TEA BREAK (3:45-3:55 PM)
3:55-4:10 PMICACSDF_076882A Comparative Study of Centralized, Split, and Federated Learning Models for Privacy-Preserving Online Fraudulent Transaction Detection
4:10-4:25 PMICACSDF_077739Intent-Aware Explainable Detection of AI Generated Phishing Emails Using Psychological Trigger Analysis and Transformer-Based Models
4:25-4:40 PMICACSDF_078646Explainable Hybrid GNN-RNN Framework for Predictive Cyber Attack Propagation Analytics in Dynamic Enterprise Networks
4:40-4:55 PMICACSDF_079875XAI-SecNet: An Explainable AI Framework for Intelligent Threat Detection in Smart Systems
4:55-5:10 PMICACSDF_080876EXPLAINABLE ARTIFICIAL INTELLIGENCE (XAI) IN AUTOMATED CYBER THREAT HUNTING
Buffer / Q&A (5:10-5:25 PM)
Track 9: Security Governance, Testing & Threat Intelligence
TimingsPresentation IDPaper IDPaper Title
2:15-2:30 PMICACSDF_081217Decision-Oriented Credit Card Fraud Detection: A Comparative Study Using Threshold Optimization and Cost-Sensitive Evaluation
2:30-2:45 PMICACSDF_082244A Comprehensive Review of Security and Privacy in Generative Artificial Intelligence
2:45-3:00 PMICACSDF_083541Adaptive Cyber Risk Management Through Real-Time Threat Intelligence and Predictive Analytics
3:00-3:15 PMICACSDF_084713The Human Side of AI and IoT Security Decision-Making: Exploring Rejection Sensitivity and Psychological Hardiness among Higher Education Students
3:15-3:30 PMICACSDF_085765A Hybrid AI-Block Chain Approach To Risk Management: Advancing Corporate Risk Intelligence And Supply Chain Resilence
Buffer / Q&A (3:30-3:45 PM)
TEA BREAK (3:45-3:55 PM)
3:55-4:10 PMICACSDF_086715MT-OKM: A Mixed-Type Optimized K-Medoid Framework for Trustworthy Unsupervised Cyber Threat Clustering
4:10-4:25 PMICACSDF_087755A Framework for Securing Agentic AI Systems in Indian Public Digital Infrastructure
4:25-4:40 PMICACSDF_088777Healthcare Data Governance in the Age of Autonomous Systems: Addressing Counterfeit Data and Security Risks
4:40-4:55 PMICACSDF_089912Agentic AI in Judicial Systems: Toward an Explainable AI Safeguard Framework
4:55-5:10 PMICACSDF_090942AI-Enabled Market Surveillance and Retail Investors' Investment Behaviour: A Cybersecurity Perspective on the Indian Stock Market
Buffer / Q&A (5:10-5:25 PM)
Track 10: Information Hiding & General Topics
TimingsPresentation IDPaper IDPaper Title
2:15-2:30 PMICACSDF_09198Detection and Prevention Strategies for Social Media-Based Fraud in E-Commerce
2:30-2:45 PMICACSDF_092511Bayesian Post-Quantum PRESENT: AI-Optimized High-Throughput Cipher for Secure IoT
2:45-3:00 PMICACSDF_093512CNN-Driven Selective Encryption Using Vectorized SPECK for Real-Time Medical Image Security on Edge Devices
3:00-3:15 PMICACSDF_094917A Lightweight Context-Aware Hybrid Isolation Forest–SVM Framework for Near Real-Time IoT Intrusion Detection
3:15-3:30 PMICACSDF_095936ImageSteg Recognition: Hidden Message Extraction using Steghide
Buffer / Q&A (3:30-3:45 PM)
TEA BREAK (3:45-3:55 PM)
3:55-4:10 PMICACSDF_096578Adaptive Gradient Compression Techniques for Communication-Efficient Federated Learning
4:10-4:25 PMICACSDF_097579Asynchronous Federated Optimization under Resource-Constrained Distributed Environments
4:25-4:40 PMICACSDF_098580Differential Privacy-Driven Secure Aggregation in Federated Learning for Sensitive Distributed Systems
4:40-4:55 PMICACSDF_099581A Trust-Aware Federated Learning Framework for Detecting Model Poisoning Attacks
4:55-5:10 PMICACSDF_100930AI ML-Based Multimodal Behavioral Analysis System for Deception Cue Detection
Buffer / Q&A (5:10-5:25 PM)
No sessions match your search.
Notes for presenters Each slot is 15 minutes, including questions. Room allocations will be published closer to the conference. Report to your allotted room at least 15 minutes before your session begins and load your slides during the preceding break. This programme is provisional and may be revised.