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    <name>Conference Paper</name>
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              <text>A Comparative Analysis of Autonomous Ledger Systems for Enhanced Blockchain Computing Applications</text>
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              <text>Adaptive Consensus; Autonomous Ledger Systems; Blockchain Computing; Comparative Analysis; Decentralized Ledger; Efficiency; Resource Allocation; Scalability; Self-governance; Self-management</text>
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              <text>Due to its potential to completely transform a number of sectors thanks to its irreversible and decentralized ledger system, the use of blockchain technology has recently attracted a lot of interest. Blockchain-based systems still face considerable issues with regard to scalability and effectiveness. This study compares autonomous ledger systems and examines how they are used in blockchain technology computation. With their capacity for self-management and resource allocation optimization, autonomous ledger systems provide intriguing answers to these problems. As examples of autonomous ledger systems, we look at self-care networks, adaptable consensus techniques, and autonomous government systems. We compare them and assess how well they function to improve the speed, security, and scalability of blockchain networks. We also examine the real-world uses of these independent ledger systems in industries including logistics management, banking, and medical services. With the goal of advancing blockchain computing and enabling more reliable and effective decentralized applications, this study intends to shed light on the possibilities of autonomous ledger systems.  2023 IEEE.</text>
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              <text>Ghosh S.; Upreti K.; Jafri S.; Divakaran P.; Chaturvedi V.M.; Vats P.</text>
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              <text>16th International Conference on Security of Information and Networks, SIN 2023</text>
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          <name>Publisher</name>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>2023-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1109/SIN60469.2023.10475049" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/SIN60469.2023.10475049&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190412645&amp;amp;doi=10.1109%2FSIN60469.2023.10475049&amp;amp;partnerID=40&amp;amp;md5=96745fa3a954ff95335dd4e0328efa0d" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190412645&amp;amp;doi=10.1109%2fSIN60469.2023.10475049&amp;amp;partnerID=40&amp;amp;md5=96745fa3a954ff95335dd4e0328efa0d&lt;/a&gt;</text>
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              <text>Restricted Access</text>
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              <text>ISBN: 979-835034321-2</text>
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          <name>Format</name>
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              <text>Online</text>
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              <text>English</text>
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              <text>Ghosh S., Maharaja Agrasen Institute of Technology, Department of It, Delhi, India; Upreti K., Christ (Deemed to Be University), Department of Computer Science, Delhi NCR, Ghaziabad, India; Jafri S., Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia; Divakaran P., Himalayan University, Arunachal Pradesh, Itanagar, India; Chaturvedi V.M., D y Patil Deemed to Be University, Navi Mumbai, India; Vats P., Scse, Manipal University Jaipur, Faculty of Engineering, Dept. of Cse, Rajasthan, Jaipur, India</text>
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