Blockchain-based biometric voting system with AI-powered fraud detection

Abstract

A secure electronic voting system (100) comprising: (a) a biometric authentication module (1) configured to authenticate a voter using at least one biometric modality selected from fingerprint recognition, facial recognition or iris scanning and, upon successful authentication, to allow access to vote; (b) a blockchain-based voting ledger (2) configured to record each authenticated vote as an encrypted transaction associated with a unique cryptographic hash and timestamp and to store the vote immutably in a decentralised ledger; (c) a tamper-resistant voting terminal (3) with integrated security hardware, including secure memory and boot mechanisms configured to prevent unauthorized access and perform self-diagnostics to detect physical tampering; (d) an AI-based monitoring module (4) configured to analyse voting behaviour in real time, detect anomalies indicating fraudulent activity and generate alerts for further investigation; e) a central processing module (5) operatively connected to the biometric authentication module (1), the blockchain-based polling book (2), the tamper-evident voting terminal (3) and the AI-based monitoring module (4), the central processing module (5) being configured to: • to coordinate communication between the modules (1-4), • Validation and forwarding of authenticated data for secure voice recording, • Management of system-level security protocols and • ensure the synchronization and integrity of the entire voting process.

Description

FIELD OF THE INVENTIONThe present invention relates to electronic dialing systems and, more particularly, to a secure, tamper-proof electronic dialing system that utilizes biometric authentication, blockchain technology for fixed voice recording, and artificial intelligence for real-time fraud detection.BACKGROUND OF THE INVENTIONThe article treated in the background section should not be considered to be prior art solely because of its mention in the background section. Likewise, it should not be assumed that a problem mentioned in the background section or associated with the subject matter of the background section has already been recognized in the prior art. The subject matter of the background section merely represents various approaches, which may likewise be inventions per se.Electronic tuning has proven to be a promising alternative to conventional paper-based dialing systems. However, it is still susceptible to manipulations, security vulnerabilities and clerent frauds. Existing solutions often lack transparency, integrity and verification. There is a growing need for a consistently secure, decentralized, and intelligent dialing system that ensures both data integrity and anonymousness of the selectors while allowing fraud detection in real time.Conventional systems are either unable to prevent unauthorized access or do not provide a traceable transparency in storing voices. In addition, most do not use modern AI functions to monitor anomalies in the choice behavior. There is a need for a secure and smart system that integrates biometric identification, blockchain-based dial storage, tamper-proof terminals, and AI-based monitoring.The democratian process is essentially based on making free, fair and transparent choices. Traditionally, paper-based dialing methods have been used to record the voices, in which the ballots have been manually dispensed, collected and enumerated. These systems, while providing a graspable and test-friendly process, also have significant disadvantages including logistic complexity, high operating costs, delays in processing the results, and susceptibility to the manipulation, replication, or destruction of the ballots.To overcome these limitations, many governments and organizations have gone to electronic dialing systems (e-votes) throughout the world. These systems are intended to rationalize the dialing process, reduce the time and cost for vote counting, and increase the convenience for votes. E-voting, although promising operational efficiency, also entails a number of new technical and safety-related challenges, which can compromise the integrity of a choice.Conventional electronic dialing systems, including direct electronic dialing devices (DRE) and Internet-based dialing platforms, have been criticized because of lack of transparency and tamper resistance. Without severe security provisions, these systems can become susceptible to cyber attacks, unauthorized access, dialing manipulations, and malware ingress. Moreover, public trust in such systems is further undermined by concerns about insider threats, insufficient software validation, and inability to create testable test paths. Once voices are recorded electronically without transparency or redundancy, it becomes difficult to prove their integrity or to determine the origin of errors and misses.Authenticating the selectors in conventional e-voting systems also presents a major security problem. In many cases, dialer authentication is done with ID cards, PINs, or keywords that can be easily stolen, forged, or passed. Such methods cannot guarantee that the person who is issuing the voice is actually the legal dialer. This opens the door and gate for the copying of selectors, the replication of voices and unauthorized access to the selection interface. Moreover, the vote databases may not be updated in real time, which results in dead votes still being listed or votes being allowed to vote multiple times among different identities.Another critical point is lack of confidence and transparency in the storage and processing of the voices. Most e-vote systems use centralized databases that are prone to hacker attacks, unauthorized changes, or system crashes. A single fault in such systems may compromise the integrity of an entire choice. Moreover, these centralized systems are often not auditable and do not provide a verifier mechanism to ensure to the public that the voices have been recorded correctly and counted as intended.In recent years, interest has increased in employing blockchain technology to overcome the deficiency of trust in e-voting systems. Blockchain offers a decentralized and tamper-proof master book in which each voice can be recorded as a cryptographically signed transaction. Once a voice is recorded in the blockchain, it becomes invariable and transparent. However, existing blockchain-based dialing models are often unable to solve important practical problems such as the authentication of the dialing agents, the anonymity of the voices, and the recognition of fraudulent behavior. Moreover, blockchain solutions alone do not prevent attacks emanating from compromised dialing terminals or internal system designers.Moreover, modern choices, particularly those made digitally or over the Internet, must cope with sophisticated fraud patterns, which are often subtilized and difficult to detect in real time. Examples of these are organized dialing manipulation screens, dialing fraud by automation scripts or bots, and systematic abuse of vulnerabilities in dialing interfaces. Conventional systems lack smart mechanisms to detect or respond to such activities during the dialing operation.In conventional systems, there is also no connection between the modules. Most e-vote implementations lack a central control or monitoring unit that can coordinate the various components, manage the secure data flow, and maintain the operational integrity of the entire system. This interrelationship results in inefficiencies in operation and increases the system engagement area.In view of the above restrictions, there is a clear and urgent need for a comprehensive, secure and intelligent dialing system that can ensure continuous protection of the dialing process - from dialing authentication to voice storage and monitoring. The system should combine robust dial verification by biometric authentication, invariable and transparent recording of voices through blockchain, real-time fraud detection by artificial intelligence, and central control to maintain the integrity of the procedures across all components.The present invention addresses all of these challenges by proposing a secure electronic dialing system that includes a biometric authentication module for vote verification, a blockchain-based dialing book for tamper-proof recording of mood, a tamper-proof dialing terminal for preventing physical and logical intrusion, a Kl-based monitoring module for real-time fraudulent pattern recognition, and a central processing module for coordinating, validating, and securing the overall process. This novel system not only enhances confidence in the dialing process, but also provides a scalable and future-safe architecture that can be adapted to various dialing environments, including personal and digital toll dialing.The integration of new technologies into a uniform framework is intended to restore public trust in electronic mood, protect democratic process from internal and external threats, and create a new standard for secure, smart, and auditable dialing systems.The information disclosed in this Background section is merely for enhancement of understanding of the background of the invention and therefore may contain information that is not prior art and that is already known to a person of ordinary skill in the art in this country.SUMMARYBefore describing the present systems and methods, it should be appreciated that this application is not limited to the described systems and methods, as there may be several possible embodiments that are not expressly depicted in the present disclosure. It is also to be understood that the terminology used in the specification is for the purpose of describing particular versions or embodiments only and is not intended to limit the scope of the present application.The present invention provides a blockchain-based biometric selection system with a Kl-based fraud detection mechanism.The present invention discloses a secure electronic selection system that is intended to ensure a high level of integrity, transparency, and fraud prevention in the selection process. The system includes a plurality of interconnected components that cooperate to provide a secure and testable voice output.The heart of the system is a biometric authentication module that checks the identity of each dialer prior to mood. This module uses at least one biometric modality such as fingerprint recognition, face recognition or iris scan. Only after successful authentication is the selector granted access to the dialing process, whereby unauthorized dialing attempts are prevented.The votes issued by authenticated selectors are securely recorded in a blockchain-based vote book. Each voice is encrypted and associated with a unique cryptographic hash and timestamp. The blockchain infrastructure ensures that all voices are stored in a decentralized master book in an invariable manner, so that a forgery-proof and transparent selection profile is produced. Moreover, this module maintains the anonymity of the selectors by encrypting the voice data but still allowing auditable audits.The system also includes a tamper-proof selection terminal that provides physical and logical security during the selection process. This terminal has secure memory, secure boot mechanisms and self-diagnostic functions which identify any unauthorized access or physical tampering attempts. This prevents the possibility of hardware manipulations or software errors during selection.To further improve the integrity of the system, an AI-based monitoring module is used to observe the dialing behavior in real time. This module analyzes the dialing behavior and identifies anomalies that might indicate fraudulent activities, such as multiple tunings with the same identity, tuning unauthorized devices, or an unusually high tuning frequency within a short period of time. When the system detects such anomalies, it generates alerts that are immediately inspected by the selection authorities.A central processing module is responsible for coordinating communication and data exchange between all other modules in the system. It validates and forwards authenticated data for recording mood, manages system-level security protocols, and ensures proper synchronization and integrity of the biometrics, blockchain, AI, and dial terminals components. In addition, the central module maintains secure protocols of system events and performs periodic checks to detect and remedy system operational irregularities.Together, these components form a coherent and intelligent dialing infrastructure which ensures the integrity of the voice, the anonymity of the selectors and a robust protection against tampering or corruptions. The system is scalable, transparent, and suitable for use in local, regional, or national choices...BRIEF DESCRIPTION OF THE DRAWINGIn order to clarify various aspects of some embodiments of the present invention, a more detailed description of the invention will be given by reference to specific embodiments illustrated in the accompanying drawings. It is understood that this drawing shows only illustrated embodiments of the invention and therefore should not be considered as limiting its scope. The invention will be described and explained with additional specificity and detail through the use of the accompanying drawings.In order that the advantages of the present invention may be readily understood, a detailed description of the invention will be discussed below in connection with the accompanying drawing, which, however, should not be taken as a limitation of the scope of the invention to the accompanying drawing, in which: FIG. 1 shows the block diagram of a blockchain-enabled biometric selection system ( 100) with a Kl-based fraud detection mechanism.DETAILED DESCRIPTIONThe present invention relates to a blockchain-based biometric selection system (100) having a Kl-based fraud detection mechanism.FIG. 1 shows the block diagram of a blockchain-enabled biometric selection system ( 100) with a Kl-based fraud detection mechanism.The present invention will now be described in detail with reference to its various components and functionalities.The invention comprises a secure electronic selection system (100) incorporating multiple functional modules to ensure security, transparency and integrity throughout the selection process.The system comprises a biometric authentication module (1) which acquires and processes biometric inputs such as fingerprint, face or iris data. This module compares the biometric information collected to pre-registered encrypted templates stored in a secure database, either locally or in a cloud environment. Only after successful authentication by the biometric authentication module (1) is the dialer allowed access to the dialing interface, thus precluding the possibility of unauthorized voice delivery.Once the voice has been delivered, it is processed by the blockchain-based vote book (2) that records each voice as an encrypted transaction. Each transaction is associated with a unique cryptographic hash and timestamp, and the votes are unalterably stored in a remote ledger. The blockchain-based choice register (2) ensures both the integrity and durability of each recorded voice. In addition, the system maintains the anonymity of the selectors by encrypting and separating the content of the vote from the identity of the selector, yet still allowing test paths that can be checked.The dialer interacts with the system via a tamper-proof dialer terminal (3) which acts as a secure physical interface. This terminal has security features such as secure boot mechanisms, encrypted memories and embedded security chips to protect against physical manipulations. The tamper proof dialing terminal (3) also performs self-checks in real time to detect unauthorized access or system change attempts during dialing, thus ensuring trustworthiness of the dialing environment.For monitoring the selection activities and for detecting anomalies, the system contains a Kl-based monitoring module ( 4). This module continuously analyzes selection patterns in real time to identify behaviors that might be indicative of fraudulent activities. Such behaviors include duplicate votes with the same biometric identity, attempts to tune from unauthorized or previously marked devices, and unusually high tuning frequencies in short periods of time. When detecting such anomalies, the AI-based monitoring module ( 4) automatically generates warnings and logs these events for checking by authorized selection assistants.All these modules are coordinated by the central processing module (5) serving as a central control unit of the system. It manages the communication between the biometric authentication module (1), the blockchain-based dialing logbook (2), the tamper-proof dialing terminal (3) and the AI-based monitoring module (4). The central processing module ( 5) is responsible for validating and forwarding the authenticated data to the blockchain for the secure recording of the mood. Moreover, it manages the system-wide security protocols, synchronizes the procedures between the modules and ensures the overall integrity of the dialing process. The central processing module (5) also performs event protocols, performs routine integrity checks, and provides compliance with the predefined dialing protocols.The components of the secure electronic dialing system (100) cooperate to provide a consistently secure, transparent, and smart platform for making selections. The combination of biometric authentication, blockchain choice storage, tamper proof terminals, Kl-based fraud detection in real time and central coordination provides a reliable and scalable solution for maintaining democratic processes in digital environments.The invention comprises a secure electronic selection system (100) consisting of the following main components:Biometric Authentication Module (1):• Uses biometric inputs such as fingerprint recognition, face recognition or iris scan.• Compares the captured biometric data to previously registered encrypted templates stored in a secure local or cloud-based database.• grants access to the tuning interface only after successful authentication.Blockchain-based Matching Book (2):• Records each delivered voice as an encrypted transaction.• Associates each vote with a unique cryptographic hash and timestamp.• Stores all transactions in a decentralized, invariable ledger and thus ensures transparency and security against tampering.• The anonymity of the voter is maintained by separating the identity from the content of the vote.Tamper-proof selection terminal (3):• Contains physical and firmware level security, e.g., secure boot and secure storage.• Performs regular self-checks to detect physical intrusion or system changes.• Operates in a closed environment to prevent external disturbances during tuning.Kl-based monitoring module (4):• Monitors the tuning behavior in real time.• Identifies anomalies such as:• Several voices with the same biometric ID.• Rating of unauthorized devices or unusual IP addresses.• Irregular tuning frequency (e.g., accumulation of tuning in very short periods).• Generates alerts and protocols for investigations and forensic analyses.Central processing module (5):• Serves as a command and control center for the system.• Manages communication between all modules (1 to 4).• Validates and directs biometric authentication data to the SubjectFurther, the tuning interface.• Ensures that only verified data is passed on to the blockchain ledger (2).• Executes security protocols, manages system protocols, and synchronizes operations.• Performs periodic system integrity checks to detect potential software or hardware violations.Advantages of the Invention:• Continuous secure dialing process from authentication to authenticationRecording of the voices.• Transparent and Checkable Matches by Blockchain.• Real-time fraud detection using AI analyses.• High confidence of the selectors by tamper-proof terminals andAnonymity.• Scalable and suitable for both small and large choices.

Claims

A secure electronic dialing system (100) comprising: a) a biometric authentication module (1) configured to authenticate a dialing party using at least one biometric modality selected from fingerprint recognition, face recognition, or iris sensing and, upon successful authentication, to allow voice access; b) a blockchain-based vote book (2) configured to record each authenticated voice as an encrypted transaction associated with a unique cryptographic hash and timestamp and to unalterably store the voice in a remote book; c) a tamper-proof dialing terminal (3) with integrated security hardware including secure memory and boot mechanisms configured to prevent unauthorized access and to perform self-diagnostics to detect physical manipulations; d) a AI-based monitoring module (4) configured to analyze tuning behavior in real time, detect anomalies indicative of fraudulent activities, and generate alerts for further examinations; e) a central processing module (5) operatively connected to the biometric authentication module (1), the blockchain-based codebook (2), the tamper-proof dialing terminal (3) and the AI-based monitoring module (4), wherein the central processing module (5) is configured to: • coordinate (1-4) communication between the modules, • validate and forward authenticated data for secure voice recording, • manage system-level security protocols, and • ensure synchronization and integrity of the entire tuning process.The system (100) of claim 1, wherein the biometric authentication module (1) stores encrypted biometric templates and grants access to the dialing terminal (3) only upon a successful match.The system (100) of claim 1, wherein the blockchain-based dialing register (2) allows for the anonymousity of the voice while allowing an authorized check of the integrity of the voice without sacrificing the identity of the single dialing party.The system (100) of claim 1, wherein the tamper-proof selection terminal (3) comprises physical and logical security mechanisms such as secure booting, encrypted storage, and real-time intrusion detection.The system (100) of claim 1, wherein the AI-based monitoring module (4) is configured to detect anomalies such as duplicate moods, high frequency moods, or irregular device usage patterns.The system (100) of claim 1, wherein the central processing module (5) is further configured to log system events, perform periodic integrity checks, and ensure compliance with preset security of choice protocols.

Images