Special Issue "Computer Science and Symmetry/Asymmetry: Feature Papers"

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".

Deadline for manuscript submissions: 29 February 2024 | Viewed by 967

Special Issue Editor

Department of Complex Information Security of Computer Systems, University of Control Systems and Radioelectronics, Lenin Ave, 40, Tomskaya Oblast, 634050 Tomsk, Russia
Interests: theory and practice of complex information security systems; information security, mathematical modeling of difficult systems; algorithms of processing of big data
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Special Issue Information

Dear Colleagues,

As Section Editor-in-Chief of the Computer Science and Symmetry/Asymmetry Section of the journal Symmetry, I am glad to announce this Special Issue on “Computer Science and Symmetry/Asymmetry: Feature Papers”. We would like to cooperate with some excellent scholars/scientific groups and publish several very important high-level works. Our aim now is to introduce new insights into science development or cutting-edge technology related to the symmetry field in Computer Science which will make a great contribution to the community. The topics include information security, cybersecurity, IoT, robotics, big data, machine learning, artificial intelligence, and other areas of interest associated with computer science and engineering.

You are welcome to send short proposals for submissions of Feature Papers to our Editorial Office (symmetry@mdpi.com) before submission.

These will firstly be evaluated by our Editors. Please note that selected full papers will still be subject to a thorough and rigorous peer review.

Prof. Dr. Alexander Shelupanov
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Symmetry is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (1 paper)

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An Invitation Model Protocol (IMP) for the Bitcoin Asymmetric Lightning Network
Symmetry 2023, 15(6), 1273; https://doi.org/10.3390/sym15061273 - 16 Jun 2023
Viewed by 637
The Lightning Network (LN), a second-layer protocol built atop Bitcoin, promises swift, low-cost transactions, thereby addressing blockchain scalability and enhancing user privacy. As the global financial technology landscape evolves, the LN’s importance in the future of fintech and the Fourth Industrial Revolution (4IR) [...] Read more.
The Lightning Network (LN), a second-layer protocol built atop Bitcoin, promises swift, low-cost transactions, thereby addressing blockchain scalability and enhancing user privacy. As the global financial technology landscape evolves, the LN’s importance in the future of fintech and the Fourth Industrial Revolution (4IR) becomes increasingly pivotal. The anticipated rise of blockchain-based payments and smart contracts in businesses demands a more agile and secure payment system. However, the LN’s early stage raises valid concerns about security and reliability, especially when implemented on a huge asymmetric network such as the Internet, potentially hindering its broader adoption. Malicious nodes could intentionally cause payment failures or initiate attacks, such as DDoS attacks, by overwhelming other nodes in the network with channel-opening requests. As a result, users will be discouraged from using the LN; hence, the technology will become obsolete as individuals will not waste the time and power investment required for using this technology. Addressing these issues, this paper proposes an innovative invitation model protocol (IMP) to reinforce the LN’s security and reliability. The IMP creates an exclusive ‘Club’ within the LN, admitting only nodes verified as honest, thereby bolstering network security and reliability. The protocol empowers Club Founders to expel members exhibiting malicious activities, thereby preserving the invested time, energy, and funds of the network’s users. The IMP was rigorously tested using Amazon Web Services Virtual Machines within the Bitcoin and Lightning Network’s Testnet environment, which is a highly asymmetric network. The results demonstrated the protocol’s efficacy in fulfilling its objectives, marking a significant step towards a safer and more efficient blockchain transaction network. As the blockchain continues to revolutionize the financial sector, implementing robust security measures such as the IMP becomes essential. This research paper introduces a novel approach to enhancing the reliability and security of a Lightning Network (LN), and thus distinguishes itself from the existing literature, by introducing an additional step before establishing or joining such a network. The research underscores the critical role of such protocols in realizing the potential of the LN in powering the next wave of fintech and industrial innovation. Full article
(This article belongs to the Special Issue Computer Science and Symmetry/Asymmetry: Feature Papers)
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