Algorithms for Cyber Defense: From Cryptography to Behavioral Analysis! A repository for resources and updates related to the Algorithms special issue. Focused on secure algorithmic solutions for cyber defense, including encryption, authentication, anomaly detection, reverse engineering, and security-aware AI. Submission deadline: July 31, 2026.
Note: all applications presented here are designed natively in their respective programming or scripting languages, without libraries or external files. Thus, the applications have no dependencies and can be used offline. There are about 100 posts uploaded here, however, below are some useful projects that I have chosen to show as a preview:
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Paul A. Gagniuc. An Introduction to Programming Languages: Simultaneous Learning in Multiple Coding Environments. Synthesis Lectures on Computer Science. Springer International Publishing, 2023, pp. 1-280.
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Paul A. Gagniuc. Coding Examples from Simple to Complex - Applications in Python. Synthesis Lectures on Computer Science. Springer International Publishing, 2024, pp. 1-245.
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Paul A. Gagniuc. Coding Examples from Simple to Complex - Applications in MATLAB. Synthesis Lectures on Computer Science. Springer International Publishing, 2024, pp. 1-255.
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Paul A. Gagniuc. Coding Examples from Simple to Complex - Applications in Javascript. Synthesis Lectures on Computer Science. Springer International Publishing, 2024, pp. 1-240.
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Paul A. Gagniuc. Antivirus Engines: From Methods to Innovations, Design, and Applications. Cambridge, MA: Elsevier Syngress, 2024. pp. 1-656. ISBN: 9780443329524
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Paul A. Gagniuc. Markov chains: from theory to implementation and experimentation. Hoboken, NJ, John Wiley & Sons, USA, 2017, pp. 1-256. ISBN: 978-1-119-38755-8.
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Paul A. Gagniuc. Algorithms in Bioinformatics: Theory and Implementation. John Wiley & Sons, Hoboken, NJ, USA, 2021, pp. 1-528. ISBN: 9781119697961.