Efficient and Secure TSA for the Tangle

Bramas, Quentin

doi:10.1007/978-3-030-91014-3_11

Cited by 7 publications

(7 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We finally would like to mention the different works that try to improve the algorithm behind the selection of unapproved messages, regarding security [3,1], fairness [4] and by incorporating strategic agents [21]. Such works are built on the previous mentioned mathematical models.…”

Section: Related Workmentioning

confidence: 99%

The Effect of Network Delays on Distributed Ledgers Based on Direct Acyclic Graphs: A Mathematical Model

Kumar

Reiffers-Masson²,

Amigo³

et al. 2022

SSRN Journal

View full text Add to dashboard Cite

Section: Related Workmentioning

confidence: 99%

The Effect of Network Delays on Distributed Ledgers Based on Direct Acyclic Graphs: A Mathematical Model

Kumar

Reiffers-Masson²,

Amigo³

et al. 2022

SSRN Journal

View full text Add to dashboard Cite

“…Voting-based consensus Practical Byzantine Fault Tolerance (PBFT) 44 , Yet another consensus (YAC) protocol 45 , BFT-SMaRT protocol 46 , Ripple 47 , Raft 48 , Delegated Proof of Stake (DPoS) 49 , Paxos 50 , Clique / Aura protocols 51 Chain-based consensus Proof of Work (PoW) 1 , Proof of Stake (PoS) 52 , Proof of Elapsed Time (PoET) 53 Proof of Weight (PoWeight) 54 , Proof of Burn (PoB) 55 , Proof of capacity (PoC) 56 , Proof of Activity (PoA) 57 , Proof of importance (PoI) 58 DAG-based consensus IoTA (Tangle ) 59 , HashGraph The proposed patent as the NFTs platform that builds blockchain intellectual property empowers the entire patent ecosystem. It is a solution that removes barriers by addressing fundamental issues within the traditional patent ecosystem.…”

Section: Classification Consensus Algorithmsmentioning

confidence: 99%

Patents and intellectual property assets as non-fungible tokens; key technologies and challenges

Bamakan

Nezhadsistani

Bodaghi

et al. 2022

Sci Rep

108

View full text Add to dashboard Cite

With the explosive development of decentralized finance, we witness a phenomenal growth in tokenization of all kinds of assets, including equity, funds, debt, and real estate. By taking advantage of blockchain technology, digital assets are broadly grouped into fungible and non-fungible tokens (NFT). Here non-fungible tokens refer to those with unique and non-substitutable properties. NFT has widely attracted attention, and its protocols, standards, and applications are developing exponentially. It has been successfully applied to digital fantasy artwork, games, collectibles, etc. However, there is a lack of research in utilizing NFT in issues such as Intellectual Property. Applying for a patent and trademark is not only a time-consuming and lengthy process but also costly. NFT has considerable potential in the intellectual property domain. It can promote transparency and liquidity and open the market to innovators who aim to commercialize their inventions efficiently. The main objective of this paper is to examine the requirements of presenting intellectual property assets, specifically patents, as NFTs. Hence, we offer a layered conceptual NFT-based patent framework. Furthermore, a series of open challenges about NFT-based patents and the possible future directions are highlighted. The proposed framework provides fundamental elements and guidance for businesses in taking advantage of NFTs in real-world problems such as grant patents, funding, biotechnology, and so forth.

show abstract

“…Other approaches take more novel directions to develop novel tip selection algorithms. Bramas [43] explores a twostep algorithm for resolving conflict resolution for sets of tips. Chafjiri and Mehdi Esnaashari Esfahani [44] used an adaptive random walk to improve selection efficiency.…”

Section: B Iota Ledger Constructionmentioning

confidence: 99%

An Intelligent Distributed Ledger Construction Algorithm for IoT

Rawlins

Jagannathan

2022

IEEE Access

View full text Add to dashboard Cite

Blockchain is the next generation of secure data management that creates near-immutable decentralized storage. Secure cryptography created a niche for blockchain to provide alternatives to wellknown security compromises. However, design bottlenecks with traditional blockchain data structures scale poorly with increased network usage and are extremely computation-intensive. This made the technology difficult to combine with limited devices, like those in Internet of Things networks. In protocols like IOTA, replacement of blockchain's linked-list queue processing with a lightweight dynamic ledger showed remarkable throughput performance increase. However, current stochastic algorithms for ledger construction suffer distinct trade-offs between efficiency and security. This work proposed a machinelearning approach with a multi-arm bandit that resolved these issues and was designed for auditing on limited devices. This algorithm was tested in a reinforcement-learning environment simulating the IOTA ledger's construction with a decision tree. This study showed through regret analysis and experimentation that this approach was secure against impulse manipulation attacks while remaining energy-efficient. Although the IOTA protocol was a pioneer for lightweight distributed ledgers, it is expected that future blockchain protocols will adopt techniques similar to those presented in this work.

show abstract

Efficient and Secure TSA for the Tangle

Cited by 7 publications

References 3 publications

The Effect of Network Delays on Distributed Ledgers Based on Direct Acyclic Graphs: A Mathematical Model

The Effect of Network Delays on Distributed Ledgers Based on Direct Acyclic Graphs: A Mathematical Model

Patents and intellectual property assets as non-fungible tokens; key technologies and challenges

An Intelligent Distributed Ledger Construction Algorithm for IoT

Contact Info

Product

Resources

About