Blockchain-based Voting System Powered by Post-Quantum Cryptography (BBVSP-PQC)

Gupta, Sweta; Gupta, Kamlesh Kumar; Shukla, Piyush Kumar; Shrivas, Mahendra Kumar

doi:10.1109/icpc2t53885.2022.9776966

Cited by 14 publications

(5 citation statements)

References 14 publications

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“…Implementing this procedure, coupled with Blockchain technology, hold the potential to bring about a profound transformation in the present voting scheme. It not only ensures obscurity and secrecy but also addresses the critical issue of vote consistency, thus contributing to the reliability and safety of democratic elections [51,58].…”

Section: Literature Reviewmentioning

confidence: 99%

Improving the End to End Protection in E-voting using BVM - Blockchain based e-Voting Mechanism

Gupta,

Shukla

2024

Preprint

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The voting is always a crucial topic of public attention for democratic reasons. Due to its simplicity, ease of use, and low cost, e-voting is frequently used for such decision outcomes. The tremendous authority and intervening data in current e-voting systems, however, make them risky and make it difficult to achieve correct equity and clarity in e-voting. By combining e-voting with blockchain technology, these issues are resolved while providing reorganisation and intervention-resistant characteristics. A voter's improper manipulation, such as absenteeism, frequent voting, or non-party voting, may also undermine fairness. A verifier is therefore required to check the e-voting mechanism in order to ensure its effectiveness and control the process equality and fairness. In this paper, a Blockchain based e-Voting Mechanism (BVM) is developed for providing the end to end security and fairness for the transparent voting. This mechanism also provides a Zero-knowledge Proof (ZP) based verifier to inspect the voting procedure against voter`s misoperations and uses a Master-key Administration (MA) based public key cryptography to attack prevention. The utilization of blockchain technology ensures transparency, tamper resistance, and a high level of data integrity, making it a promising choice for modernizing and enhancing the electoral process. Also the performance of BVM has been compared and analysed based on time complexity, security analysis, performance factors like delay and throughput and antiattack examination.

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Section: Literature Reviewmentioning

confidence: 99%

Improving the End to End Protection in E-voting using BVM - Blockchain based e-Voting Mechanism

Gupta,

Shukla

2024

Preprint

Self Cite

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“…However, classical public key cryptographic techniques and hash functions belong to the pre-quantum computing era, and their security is challengeable in the post-quantum computing era. Post-quantum cryptography (PQC) involves efficient cryptographic techniques that are resistant to attacks from quantum computing; thus, efficient and lightweight PQC is desirable for blockchains to minimize quantum computing-based attacks [85]. Being descendants of the family of elliptic curve cryptography, Montgomery curve (Curve448) and Edwards curve (Ed448) cryptographic techniques are deployed in digital signatures and key agreement, which can be efficiently implemented in Cortex-M4 with performance improvements and, thus, can be deployed in hybrid systems that use a mixture of classical and post-quantum cryptographic techniques [86].…”

Section: Blockchain Cryptographymentioning

confidence: 99%

A Review of Blockchain Technology in Knowledge-Defined Networking, Its Application, Benefits, and Challenges

Wijesekara,

Gunawardena

2023

Network

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Knowledge-Defined Networking (KDN) necessarily consists of a knowledge plane for the generation of knowledge, typically using machine learning techniques, and the dissemination of knowledge, in order to make knowledge-driven intelligent network decisions. In one way, KDN can be recognized as knowledge-driven Software-Defined Networking (SDN), having additional management and knowledge planes. On the other hand, KDN encapsulates all knowledge-/intelligence-/ cognition-/machine learning-driven networks, emphasizing knowledge generation (KG) and dissemination for making intelligent network decisions, unlike SDN, which emphasizes logical decoupling of the control plane. Blockchain is a technology created for secure and trustworthy decentralized transaction storage and management using a sequence of immutable and linked transactions. The decision-making trustworthiness of a KDN system is reliant on the trustworthiness of the data, knowledge, and AI model sharing. To this point, a KDN may make use of the capabilities of the blockchain system for trustworthy data, knowledge, and machine learning model sharing, as blockchain transactions prevent repudiation and are immutable, pseudo-anonymous, optionally encrypted, reliable, access-controlled, and untampered, to protect the sensitivity, integrity, and legitimacy of sharing entities. Furthermore, blockchain has been integrated with knowledge-based networks for traffic optimization, resource sharing, network administration, access control, protecting privacy, traffic filtering, anomaly or intrusion detection, network virtualization, massive data analysis, edge and cloud computing, and data center networking. Despite the fact that many academics have employed the concept of blockchain in cognitive networks to achieve various objectives, we can also identify challenges such as high energy consumption, scalability issues, difficulty processing big data, etc. that act as barriers for integrating the two concepts together. Academicians have not yet reviewed blockchain-based network solutions in diverse application categories for diverse knowledge-defined networks in general, which consider knowledge generation and dissemination using various techniques such as machine learning, fuzzy logic, and meta-heuristics. Therefore, this article fills a void in the content of the literature by first reviewing the diverse existing blockchain-based applications in diverse knowledge-based networks, analyzing and comparing the existing works, describing the advantages and difficulties of using blockchain systems in KDN, and, finally, providing propositions based on identified challenges and then presenting prospects for the future.

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“…Te proposed mathematical procedure aims at materializing the efciency of the selected features for phish detection. Te features used by Phish Block have been selected based on the ability to integrate with blockchain [28]. Te rate of error detection can be found from the system's phish block and logical parameters.…”

Section: Proposed Phish Blockmentioning

confidence: 99%

A Blockchain-Oriented Framework for Cloud-Assisted System to Countermeasure Phishing for Establishing Secure Smart City

Kumar¹,

Goel²,

Ranjan

et al. 2023

Security and Communication Networks

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The information that is saved in the cloud about users is protected by a number of different safeguards in order to facilitate the development of smart cities. Phishing and other forms of social engineering are two examples of misleading tactics that may be used by hostile actors to get sensitive information about users. Phishing is still the first step of a multistage assault, despite the significant technological advancements that have been made to it in recent years. Phishing kits have evolved to become attack tools that are much simpler, more user-friendly, and more readily available as time has gone. Indicators of a successful phishing assault include using foreign characters in the URL, typosquatting of prominent domain names, reserved characters in redirections, and multichain phishing. When papers with these types of phishing URLs are uploaded to cloud storage, hackers get a helping push in the right direction. The use of cloud servers in the commission of these assaults is becoming more common. The currently available software to disallow list phishing URLs does not provide sufficient protection against multilevel phishing and instead places the onus of safety on the user to protect themselves. In addition, the immutability of blockchain data and the avalanche effect both demonstrate their effectiveness as crucial safety measures. In view of the recent advances in technology, we suggest an implementation of filtering that is based on blockchain technology to safeguard the cloud-based data of users. The Phish Block that has been presented is able to recognize homographic phishing URLs with an accuracy of 91 percent, thus ensuring the security of cloud storage.

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Blockchain-based Voting System Powered by Post-Quantum Cryptography (BBVSP-PQC)

Cited by 14 publications

References 14 publications

Improving the End to End Protection in E-voting using BVM - Blockchain based e-Voting Mechanism

Improving the End to End Protection in E-voting using BVM - Blockchain based e-Voting Mechanism

A Review of Blockchain Technology in Knowledge-Defined Networking, Its Application, Benefits, and Challenges

A Blockchain-Oriented Framework for Cloud-Assisted System to Countermeasure Phishing for Establishing Secure Smart City

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