No. 1 (2026): 2026_1

Articles

• APPLICATION OF EXPLAINABLE AI METHODS TO IMPROVE THE INTERPRETABILITY OF MALWARE DETECTION SYSTEMS

  Ruslan Edeev

  DOI: 10.51885/3107-2755_JISC_2026_1_1 • (EN) •

  311 115

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• A COMPARATIVE REVIEW OF ZERO-DAY-LIKE ATTACK DETECTION MODELS BASED ON NETWORK TRAFFIC ANOMALY ANALYSIS: AN EXPERIMENT WITH A HYBRID AUTOENCODER AND ISOLATION FOREST MODEL

  Nurtas Kuanyshbay , Altynbek Sharipbay

  DOI: 10.51885/3107-2755_JISC_2026_1_2 • (RU) •

  156 97

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• USING THE ISOLATION FOREST ALGORITHM FOR PROACTIVE ANOMALY DETECTION IN DATA CENTERS

  Beibarys Sakenuly , Zarina Khasenova , Gulnaz Zhomartkyzy

  DOI: 10.51885/3107-2755_JISC_2026_1_3 • (KZ) •

  104 57

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• FORENSIC ANALYSIS OF TRANSACTIONS IN HIGH-PERFORMANCE BLOCKCHAINS: CURRENT STATE OF RESEARCH AND REQUIREMENTS FOR THE FORENSIC ENGINE FOR SOLANA

  Natalia Rokhas Kriulko , Vladislav Yeremeev , Danil Popov , Kirill Kirichyok , Timur Chernykh

  DOI: 10.51885/3107-2755_JISC_2026_1_4 • (RU) •

  117 74

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• METHODOLOGY FOR TEACHING THE GAUSS METHOD USING CRYPTOGRAPHY ELEMENTS IN A SHORT-TERM ELECTIVE COURSE

  Bakytzhan Sagyntayeva , Nurlan Markhabatov

  DOI: 10.51885/3107-2755_JISC_2026_1_5 • (KZ) •

  117 110

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