Zararli dasturiy ta’minotni aniqlash va tahlil qilishda neyron tarmoqlardan foydalanish imkoniyatlari
DOI:
https://doi.org/10.5281/zenodo.20607688Keywords:
zararli dastur, neyron tarmoq, statik tahlil, dinamik tahlil, CNN, LSTM, MalIMG, EMBER, API chaqiruvlariAbstract
Zararli dasturiy ta’minot namunalari soni har yili o‘sib bormoqda, an’anaviy imzo asosidagi antiviruslar
esa yangi variantlarni vaqtida aniqlay olmaydi. Maqolada zararli dasturlarni tahlil qilishda neyron tarmoqlarning qo‘llanilishi
ko‘rib chiqilgan. Statik tahlilda konvolyutsion tarmoqlar bajariladigan faylni tasvir sifatida qayta ishlaydi, dinamik
tahlilda esa LSTM va transformer modellari API chaqiruvlari ketma-ketligini o‘rganadi. Asosiy ochiq to‘plamlar — MalIMG,
BIG2015, EMBER, SOREL-20M — tavsiflangan, neyron tarmoq arxitekturalarining aniqlik bo‘yicha solishtirma natijalari
keltirilgan. Adversarial namunalar va konseptual siljish kabi cheklovlar muhokama qilingan
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