BEGIN:VCALENDAR VERSION:2.0 PRODID:-//pretalx//talks.staging.osgeo.org//foss4g-europe-2025//talk//A88X7 L BEGIN:VTIMEZONE TZID:CET BEGIN:STANDARD DTSTART:20001029T040000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET TZOFFSETFROM:+0200 TZOFFSETTO:+0100 END:STANDARD BEGIN:DAYLIGHT DTSTART:20000326T030000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST TZOFFSETFROM:+0100 TZOFFSETTO:+0200 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:pretalx-foss4g-europe-2025-A88X7L@talks.staging.osgeo.org DTSTART;TZID=CET:20250718T122500 DTEND;TZID=CET:20250718T123000 DESCRIPTION:1. Introduction\nGeospatial data has become an essential part o f modern technological ecosystems\, fuelling advancements in areas such as navigation\, logistics\, disaster management\, and smart city planning. T he capacity to capture and utilize accurate location information has signi ficantly improved decision-making processes\, resource allocation\, and re al-time situational awareness. However\, as the use of geospatial data exp ands\, so do the associated risks of storing\, transmitting\, and processi ng this information. \nBlockchain technology offers enhanced security\, tr ansparency\, and decentralization\, which holds transformative potential f or geospatial data sharing. The quality and trustworthiness of shared data have been damaged due to the lack of transparency and credibility of inte lligent sources. The objective is to Geospatial data management is being r evolutionized by blockchain technology\, which provides a decentralized an d tamper-proof framework for data provenance. Users can trust the data the y access by using this immutable record of data lineage\, which enhances t raceability and establishes clear data ownership.\nThis paper introduces a combination of Blockchain technology (to ensure transparent data integrit y) and cryptography (to provide data confidentiality) as a solution to the se issues. We present a prototype implementation of this proposed scheme a s well as corresponding experimental results obtained with an actual smart city data set.\n\n2. Technology Used\n2.1 Blockchain \nBlockchain technol ogy has emerged as a promising avenue for addressing the security and inte grity demands of sensitive data. By distributing information across a netw ork of nodes\, blockchains offer immutability\, transparency\, and decentr alized governance. Yet\, implementing a blockchain-based platform for geos patial data introduces several key challenges. Large datasets\, complex re trieval requirements\, and the computational overhead of blockchain transa ctions can complicate system design.\n2.2 Cryptographic\nCryptographic met hods\, specifically AES (Advanced Encryption Standard) for symmetric encry ption and RSA (Rivest-Shamir-Adleman) for asymmetric encryption\, have lon g been used by industries to protect digital information. Efficient end-to -end encryption and secure key management are crucial for confidentiality and integrity in a blockchain context when combined with AES and RSA in a hybrid cryptosystem. Moreover\, Proof-of-Location (PoL) protocols such as FOAM add a novel layer of authenticity by verifying the real-world coordin ates that underlie each data entry\, making it substantially more difficul t for attackers to spoof or tamper with location records. \n\n2.3 Web3 and Open Standard Protocols \nThe development of innovative geospatial applic ations and markets can also be facilitated by Web3. Open standards for con sensus-driven mapping and proof of location are provided by decentralized platforms like the FOAM protocol\, which enable the creation of thrustless geospatial data ecosystems. The geospatial space has several noteworthy W eb3 projects\, including Shamba\, a decentralized geospatial data oracle\, and Geodnet\, a decentralized network for sharing and monetizing geospati al data.\n\n2.4 Smart Contract\nA smart contract is a contract that can be executed by itself\, with code embedded with rules and agreements\, and d eployed on a blockchain. Transacting without intermediaries is assured thr ough thrustless\, automated\, and tamper-proof transactions. The automatio n of data access control and the enforcement of predefined rules can be do ne by smart contracts\, ensuring that data is shared only with authorized participants.\n\n2.5 Used Technology in paper\nIn this paper\, a comparati ve analysis compares the performance\, computational overhead\, and scalab ility of AES and RSA. Factors such as encryption/decryption speed\, memory footprint\, and transaction costs determine blockchain's suitability for large-scale geospatial datasets. A prototype system has been created to sh ow the complete process\, from encryption and blockchain-based storage to on-demand retrieval and secure decryption\, while keeping sensitive locati on information confidential and intact.\n\n3. Data Integrity and Access Co ntrol \nWeb3 technologies\, based on blockchain principles\, are advancin g the decentralized storage and processing of spatial data. Decentralized file systems like IPFS and Filecoin enable the distributed storage of larg e geospatial datasets\, ensuring data availability and resilience. By remo ving single points of failure\, these systems allow for efficient data ret rieval and sharing.\n\nIn addition\, blockchain enables the secure sharing of data between peers without relying on centralized authorities. By dire ctly exchanging geospatial data between parties\, there is no need to empl oy intermediaries\, and there is a reduced risk of data tampering. \n\nBlo ckchain technology\, however\, does not provide proper access control to d ata stored within the blockchain. Therefore\, data stored within the block chain needs to be encrypted in order to ensure that data can only be read by proper entities (access control). \n4. Experiment \nThe objective of th is paper is to combine blockchain technology and cryptographic techniques to guarantee data integrity as well as access control for geospatial data when storing and transmitting it. The research examines the architecture o f how encrypted geospatial coordinates can be committed to a blockchain\, ensuring immutability while maintaining controlled access. Smart contracts ensure that data-sharing policies are enforced and user permissions are v alidated\, thereby decreasing the need for centralized intermediaries. The practical viability of this system has been evaluated by a proof-of-conce pt prototype that includes metrics like encryption/decryption speed\, on-c hain data overhead\, and access latency.\n\nA comparative analysis of cent ralized vs. is used in the research to evaluate the proposed framework. Se curity\, scalability\, and performance are the main concerns of decentrali zed approaches. \n\nThis involves analyzing various encryption techniques and quantifying the difference between on-chain and off-chain. The feasibi lity of large-scale geospatial datasets is tested within the constraints o f blockchain networks through off-chain storage trade-offs. The study inve stigates the role of Proof-of-Location protocols in enhancing location au thenticity and resilience against spoofing.\n\n5. Conclusion \nTo sum it u p\, this paper is aimed at offering a complete solution to the long-standi ng problem of securely managing geospatial data\, covering everything from cryptographic confidentiality to blockchain immutability and location ver ification. The goal of the work is to demonstrate the technical feasibilit y and broader impact of integrating AES\, RSA\, and Proof-of-Location in to real-world geospatial applications by combining them on a blockchain pl atform. The paper details the design and implementation of a system\, demo nstrates empirical results\, and discusses future developments for scalabi lity and regulatory compliance. DTSTAMP:20260527T212627Z LOCATION:PA01 (Quarticle) SUMMARY:An approach that utilizes blockchain to effectively and securely pr eserve data privacy for location data from IoT in smart cities. - Darshana Rawal URL:https://talks.staging.osgeo.org/foss4g-europe-2025/talk/A88X7L/ END:VEVENT END:VCALENDAR