Blockchain & Cybersecurity
Browse and strategize across all 22 official problem statements for Blockchain & Cybersecurity. Complete with verified datasets, tech stack blueprints, and jury defense playbooks.
Problem Statements List (22)
Match My TeamNational Digital Platform for Research, Policy Innovation, and Evidence-Based Land Governance
Land governance research, policy evaluation, and geospatial datasets in India remain locked in institutional silos, preventing policymakers from simulating reforms before enacting legislation. Build an AI-enabled National Land Research & Policy Innovation platform featuring an open data repository, interactive GIS policy impact visualizers, and macro-simulation sandboxes to evaluate land reform policies (e.g. tenancy formalization, agricultural zoning, urban conversion).
Design and Development of Innovative Hand-Spinning Equipment for Enhancing Khadi Artisan Productivity and Income
Traditional manually operated New Model Charkhas used by rural women Khadi artisans suffer from heavy ergonomic strain, high yarn breakage, and low daily productivity, limiting artisan earnings. Build an ergonomic, low-friction hand-spinning system and smart artisan companion platform with planetary gear ratio optimization, lightweight composite spindles, and an IoT yarn quality & count counter.
AR-Based Vocational Training Simulator for Industrial Safety in Jharkhand's Mining & Manufacturing Sector
Vocational students and industrial apprentices in Jharkhand face severe injury risks when training on high-voltage equipment, heavy blast furnaces, and underground mine machinery without hands-on practice. Build an Augmented Reality (AR) and mobile 3D vocational safety simulator (WebXR / Unity) that gamifies hazardous SOP drills (lockout-tagout, fire suppression, gas leak response) with real-time gesture assessment and skill competency scoring.
Development of a Low-Power, Real-Time Adaptive Software-Defined Sonar Transmitter Payload for Autonomous Underwater Vehicles (AUVs)
Autonomous Underwater Vehicles (AUVs) exploring deep Indian waters require acoustic sonar for navigation and seafloor mapping, but commercial hardware sonars are bulky, consume excessive battery power, and have rigid unmodifiable signal processing. Build a low-power, real-time Adaptive Software-Defined Sonar (SDS) platform for AUVs in GNU Radio / C++ that implements reconfigurable acoustic waveforms (LFM chirp, CW pulses), adaptive matched filtering, and side-scan bathymetric image reconstruction.
AI-Powered Continuous Cyber Risk Quantification and Investment Optimization Platform
Higher education institutions and universities under AICTE face escalating ransomware attacks and data breaches, but CISOs struggle to quantify cyber risk in monetary terms (INR) to justify cybersecurity budgets to university boards. Build an AI-powered Continuous Cyber Risk Quantification (CRQ) and Security Investment Optimization Platform for AICTE institutes based on the FAIR (Factor Analysis of Information Risk) framework that continuously maps vulnerability scans, calculates Probable Maximum Loss (PML), and recommends optimal ROI cybersecurity investments.
AI-Powered Email Threat Detection, GeoLocation and Forensic Intelligence Platform
Higher educational institutions and government agencies face sophisticated Business Email Compromise (BEC), spear-phishing, and domain spoofing attacks that bypass conventional keyword spam filters. Build an AI-Powered Email Threat Detection, Geolocation, and Forensic Intelligence Platform for AICTE that parses raw RFC 822 email headers, analyzes DKIM/SPF/DMARC cryptographic alignments, traces intermediate SMTP relay hops on a global threat map, and uses NLP to detect CEO impersonation and urgent financial wire fraud cues.
Blockchain-Based Secure Platform for Identity,Access Control, and Digital Asset Management
Defense establishments and critical public sector enterprises under Bharat Electronics Limited (BEL) face severe insider threats, credential theft, and unauthorized facility access due to fragmented identity silos and centralized database vulnerabilities. Build a Blockchain-Based Self-Sovereign Identity (SSI), Zero-Trust Access Control, and Digital Credential Platform for BEL that uses Decentralized Identifiers (DIDs), Verifiable Credentials (W3C standard), and post-quantum cryptographic signatures to secure multi-facility biometric access.
Quantum-Inspired Cyber Threat Detection for Digital Signature Security
The impending advent of fault-tolerant quantum computers running Shor's algorithm threatens to shatter classical asymmetric public-key digital signatures (RSA, ECDSA) used across national banking, PKI certificates, and blockchain networks. Build a Quantum-Inspired Cyber Threat Detection and Post-Quantum Cryptographic (PQC) Migration Platform for Egreen Quanta that analyzes digital signature entropy anomalies, identifies quantum vulnerability risks across enterprise PKI infrastructure, and implements NIST-standardized Post-Quantum algorithms (CRYSTALS-Dilithium, Falcon, SPHINCS+).
AI-Based Detection of Cyber Threats in Unidirectional IP Traffic
Critical national infrastructure networks (nuclear plants, defense command networks, intelligence intranets) use hardware unidirectional data diodes (transmitting data over single optical fibers with physical return lines cut) to prevent cyber intrusion, but security operations centers struggle to detect command-and-control (C2) beaconing, covert data exfiltration channels, and protocol abuse when analyzing one-way, non-acknowledged IP traffic. Build an AI-Based Threat Detection System for Unidirectional Data Diode IP Traffic for NTRO that uses flow statistics, inter-arrival entropy, and packet payload forensics to detect malicious traffic without two-way handshake inspection.
Creation of scripts/functions with new programming language to commence Computer & Network forensic analysis without triggering security solutions
Security researchers and vulnerability analysts at NTRO need to test proprietary software and sandboxed targets using modern secure systems programming languages (like Rust or Zig), but traditional testing frameworks trigger aggressive antivirus/EDR heuristic alerts due to runtime signatures. Build a Clean-Room Language Transpiler, Execution Harness, and Static AST Analysis Framework for NTRO that parses custom domain-specific testing scripts, generates clean native binaries with benign metadata and memory safety, and automates penetration testing workflows.
Design and Development of an Integrated Secure Data Erasure and Advanced File Recovery Tool for Digital Forensics and Data Sanitization
Decommissioned government storage media (NVMe SSDs, SATA HDDs, USB flash, eMMC chips) handled by NTRO contain classified national security data where standard OS formatting leaves recoverable forensic fragments in hidden sectors (HPA/DCO, flash bad-block reserves, wear-leveling spare area). Build an Integrated Secure Data Erasure and Advanced Sanitization Platform for NTRO compliant with NIST SP 800-88 Rev. 1 (Purge/Clear) and DoD 5220.22-M standards that executes hardware ATA Secure Erase, NVMe Sanitize Crypto Scramble, and multi-pass cryptographic overwriting with tamper-evident digital certificates.
Development of a Multi-Vendor DVR/NVR Forensic Analysis Tool for Standardized Acquisition, Recovery, and Analysis of Surveillance Evidence.
Digital video evidence recovered from crime scenes and national security incidents by NTRO is locked inside standalone Digital Video Recorders (DVRs/NVRs) running hundreds of proprietary, closed-source file systems (DHFS, HIKVISION, WFS, ZH_FS, Mirage) where hard drives are unreadable on standard Windows/Linux operating systems. Build a Multi-Vendor DVR/NVR Forensic Analysis and Video Stream Recovery Tool for NTRO that performs raw binary carving of proprietary DVR file systems, reconstructs fragmented H.264/H.265 video streams, and recovers deleted surveillance footage.
Dark web threat actor de-anonymization
Hostile threat actors, ransomware cartels, and cyber espionage groups operate behind Tor onion routing, PGP encryption, and cryptocurrency mixers on the dark web, leaving intelligence analysts with fragmented alias trails. Build a Dark Web Threat Actor De-Anonymization and Intelligence Correlation Platform for NTRO that crawls hidden onion services, analyzes PGP key cross-references, extracts digital styling fingerprints (stylometry), and maps cryptocurrency transactions to de-mask adversary identities across surface and dark web platforms.
AI based Network Attack Forecasting from Network Traffic Data
Critical government and defense IP networks face Advanced Persistent Threats (APTs), zero-day exploits, and multi-stage cyber attacks where existing Intrusion Detection Systems (IDS) only generate reactive alerts after a breach has occurred. Build an AI-Based Network Attack Forecasting and Proactive Threat Trajectory Prediction Platform for NTRO that analyzes passive NetFlow/IPFIX telemetry, models multi-stage cyber attack kill chains (MITRE ATT&CK), and forecasts the adversary's next target host 30-60 minutes before lateral movement occurs.
AI-Driven Multi-Vendor Network Security Compliance Auditor
Enterprise and government network backbones under NTRO operate thousands of heterogeneous routers, switches, firewalls, and VPN gateways from multiple vendors (Cisco, Juniper, Fortinet, Check Point, Palo Alto, Huawei) with thousands of lines of conflicting CLI configurations, causing security vulnerabilities and regulatory non-compliance with national cyber security guidelines (CERT-In, CIS Benchmarks, NIST). Build an AI-Driven Multi-Vendor Network Security Compliance Auditor for NTRO that automatically ingests heterogeneous raw device configurations, builds a unified abstract network model, audits security rules against CIS/CERT-In benchmarks, and generates remediation scripts.
SecureMailScope: AI-Assisted Cryptographic Security Posture Assessment for Secure Email Communications
Enterprise mail servers across government ministries and defense agencies frequently misconfigure TLS encryption, use weak cipher suites (RC4, 3DES), and fail to enforce MTA-STS (Mail Transfer Agent Strict Transport Security) and DANE, leaving diplomatic communications vulnerable to passive wiretapping and Man-in-the-Middle (MITM) downgrade attacks. Build 'SecureMailScope'—an AI-assisted cryptographic security posture assessment platform for NTRO that performs automated scanning of mail servers (SMTP, IMAP, POP3), verifies MTA-STS / DANE DNS records, and generates step-by-step remediation roadmaps.
AI-Powered IPsec VPN Protocol Analyzer and Security Assessment Framework
Enterprise IPsec Virtual Private Networks (VPNs) securing strategic government communication tunnels suffer from misconfigured Phase-1 / Phase-2 parameters, weak Diffie-Hellman groups (DH Group 2/5), deprecated hash algorithms (MD5, SHA-1), and aggressive mode vulnerabilities that allow adversaries to intercept VPN traffic. Build an AI-Powered IPsec VPN Protocol Analyzer and Security Assessment Framework for NTRO that performs passive IKEv1/IKEv2 packet analysis, audits crypto proposals against NIST/BSI standards, and detects handshake downgrade attacks.
Enterprise Cryptographic Discovery & Analysis Tool (ECDAT)
Enterprise infrastructure across national security agencies (NTRO, defense networks) contains legacy software repositories, microservices, databases, and network appliances using undocumented, deprecated cryptographic algorithms (MD5, DES, RSA-1024, hardcoded AES keys) that violate modern cryptographic standards. Build an Enterprise Cryptographic Discovery and Analysis Tool (ECDAT) for NTRO that performs static source code analysis, dynamic binary inspection, and network certificate scanning to build an automated Cryptographic Bill of Materials (CBOM) and guide Post-Quantum migration.
Automated Attribution of Unknown Cryptocurrency Wallets to Nearest Virtual Asset Service Providers (VASPs) through Blockchain Intelligence APIs
Indian cybercrime police investigating multi-crore investment scams, ransomware, and digital arrest frauds track stolen money into anonymous cryptocurrency wallets, but law enforcement cannot issue statutory Section 91 CrPC notices because identifying which Virtual Asset Service Provider (VASP / crypto exchange) controls the target wallet takes weeks of manual forensic analysis. Build an Automated Attribution and Clustering Platform for Unknown Cryptocurrency Wallets for the Ministry of Home Affairs (MHA / I4C) that uses Graph Neural Networks and on-chain heuristic clustering to attribute unknown wallet addresses to the nearest regulated VASP exchange in seconds.
Real-Time Identification of Fraud-Linked Cryptocurrency Exchanges from Victim-Reported Suspect Wallet Addresses through Automated Blockchain Analytics
Cyber fraud syndicates siphon stolen funds from Indian bank accounts through mule accounts into peer-to-peer (P2P) crypto trading desks and unregulated foreign cryptocurrency exchanges within 15-30 minutes of victim deposit. Build a Real-Time Fraud-Linked Crypto Exchange Identification and Mule Account Freezing Platform for the Ministry of Home Affairs (MHA / I4C) that ingests Indian banking transaction feeds, detects P2P merchant transaction patterns (UPI/IMPS micro-bursts, memo reference codes, sudden velocity spikes), and triggers automated bank account freeze requests.
Development of a Predictive Analytics Framework for Cybercrime Complaints to Forecast Likely Cash Withdrawal Locations in Advance, Enabling Generation of Actionable Intelligence for Timely and Proactive Cybercrime Intervention.
The National Cybercrime Reporting Portal (1930 helpline / cybercrime.gov.in) receives over 5,000 daily citizen complaints where lack of automated categorization and predictive analytics allows coordinated cross-state cybercrime syndicates (Jamtara phishing, Mewat sextortion, Chinese loan apps, digital arrest scams) to operate undetected across jurisdictional boundaries. Build an AI-Powered Predictive Analytics Framework for Cybercrime Complaints for MHA / I4C that clusters complaints by modus operandi (MO), predicts emerging cybercrime hotspots, and correlates suspect phone numbers, IMEI numbers, and bank accounts across state police forces.
AI-Powered Criminal Network Analysis System
Organized crime syndicates, drug trafficking cartels, and interstate extortion gangs operating in India use complex multi-tier networks (gang leaders, hawala operators, weapons suppliers, field shooters, corrupt shell companies) where police investigations remain siloed across individual state police jurisdictions. Build an AI-Powered Criminal Network Analysis and Gang Topology Intelligence Platform for the National Crime Records Bureau (NCRB / MHA) that ingests First Information Reports (FIRs), call detail records (CDRs), prison visitor logs, and bank accounts to construct dynamic criminal knowledge graphs.