ELEKTRON POCHTA TIZIMLARIDA INTELLEKTUAL XAVFSIZLIK VA QAROR QABUL QILISH
Ключевые слова:
Dunyo bo‘ylab milliardlab foydalanuvchilar kundalik ishlarida elektron xatlardan foydalanadi, shu bilan birga ularning samaradorligi va xavfsizligi tizimga kiruvchi va chiquvchi ma’lumotlarning sifati va ishonchliligiga bog‘liq. Biroq, elektron pochta tizimlarida kiberxavfsizlik tahdidlari, xususan, spam, phishing va zararli dasturlar tarqalishi tizimning ish faoliyatiga salbiy ta’sir ko‘rsatadi, foydalanuvchi tajribasini pasaytiradi va moliyaviy hamda ma’lumot xavfsizligi sohasida jiddiy muammolarni yuzaga keltiradi.Аннотация
Zamonaviy axborot texnologiyalari davrida elektron pochta tizimlari foydalanuvchilar va korporativ muassasalar uchun asosiy kommunikatsiya vositasiga aylangan.
Библиографические ссылки
Kumar S., Garg P. Spam Email Detection Using Machine Learning Techniques // International Journal of Computer Applications. – 2021. – Vol. 175, No. 30. – P. 25–33.
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IJICIS. Spam Detection in Emails Using Machine Learning Techniques: A Review. – 2023. – URL: https://ijicis.journals.ekb.eg/article_406689.html
Multiresearch Journal. Comparative Study of Machine Learning Algorithms for Email Spam Detection. – 2023. – URL: https://www.multiresearchjournal.com/arclist/list-2025.5.4/id-4718?utm_source=.com
SpringerLink. Ensemble Methods for Spam Detection in Emails. – 2023. – URL:https://link.springer.com/article/10.1007/s10207-023-00756-1?utm_source=.com
