Parameterized Pulsed Transaction Injection Computation Model And Performance Optimizer For IOTA-Tango

Andriamanalimanana, Bruno; Chiang, Chen-Fu; Novillo, Jorge E.; Sengupta, Sam; Tekeoglu, Ali

doi:10.1007/978-3-030-02607-3_7

Cited by 4 publications

(1 citation statement)

References 5 publications

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“…The ASTI protocol [7] aims at predicting the injection volume based on past consumption records. It applies the technique smoothing factor, which is similar to reinforcement learning.…”

Section: Asti Protocolmentioning

confidence: 99%

A Hybrid Adaptive Transaction Injection Protocol and Its Optimization for Verification-Based Decentralized System

et al. 2019

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Latency is a critical issue that impacts the performance of decentralized systems. Recently we designed various protocols to regulate the injection rate of unverified transactions into the system to improve system performance. Each of the protocols is designed to address issues related to some particular network traffic syndrome. In this work, we first provide the review of our prior protocols. We then provide a hybrid scheme that combines our transaction injection protocols and provides an optimal linear combination of the protocols based on the syndromes in the network. The goal is to speed up the verification process of systems that rely on only one single basic protocol. The underlying basic protocols are Periodic Injection of Transaction via Evaluation Corridor (PITEC), Probabilistic Injection of Transactions (PIT), and Adaptive Semi-synchronous Transaction Injection (ASTI).

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“…The ASTI protocol [7] aims at predicting the injection volume based on past consumption records. It applies the technique smoothing factor, which is similar to reinforcement learning.…”

Section: Asti Protocolmentioning

confidence: 99%

A Hybrid Adaptive Transaction Injection Protocol and Its Optimization for Verification-Based Decentralized System

et al. 2019

Self Cite

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Optimized Transaction Processing in Lightweight Distributed Ledger Networks for Internet of Things

Tekeoglu

Chiang

Sengupta

et al. 2022

Lecture Notes in Computer Science

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Securing Digital Ledger Technologies-Enabled IoT Devices: Taxonomy, Challenges, and Solutions

Bikos

Kumar

2022

IEEE Access

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With the faster maturity and stability of digitization, connectivity and edge technologies, the number of the Internet of Things (IoT) devices and sensors is flourishing fast in important junctions such as homes, hotels, hospitals, retail stores, manufacturing floors, railway stations, airports, oil wells, warehouses, etc. However, in this extremely connected world, the security implications for IoT devices are getting worse with the constant rise in malicious cyberattacks. The challenge is how to secure IoT sensors, services and data. The blockchain technology, a prominent distributed ledger technology (DLT), is being pronounced as the way forward for safeguarding IoT devices and data. The Directed Acyclic Graph (DAG)-based DLT has the inherent potential to realize the benefits of blockchain with better performance. IOTA is a DAGbased blockchain implementation for the IoT era. The Tangle, the IOTA's network immutably records the exchange of data and value. It ensures that the information is trustworthy and cannot be tampered with nor destroyed. In this work, we depict a thorough analysis of the existing security studies for IOTA. Then, we identify the gaps and the limitations of these security solution schemes, and finally, propose future security research recommendations that can potentially fill these gaps to secure DLT-enabled IoT devices.

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Parameterized Pulsed Transaction Injection Computation Model And Performance Optimizer For IOTA-Tango

Cited by 4 publications

References 5 publications

A Hybrid Adaptive Transaction Injection Protocol and Its Optimization for Verification-Based Decentralized System

A Hybrid Adaptive Transaction Injection Protocol and Its Optimization for Verification-Based Decentralized System

Optimized Transaction Processing in Lightweight Distributed Ledger Networks for Internet of Things

Securing Digital Ledger Technologies-Enabled IoT Devices: Taxonomy, Challenges, and Solutions

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