ELEKTRON POCHTA TIZIMLARIDA INTELLEKTUAL XAVFSIZLIK VA QAROR QABUL QILISH

ELEKTRON POCHTA TIZIMLARIDA INTELLEKTUAL XAVFSIZLIK VA QAROR QABUL QILISH

Authors

  • Rаximоv Bоbоmurоd Rаmаzоnоvich TАTU Mustаqil izlаnuvchisi Tel:+998997601554

Keywords:

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.

Abstract

Zamonaviy axborot texnologiyalari davrida elektron pochta tizimlari foydalanuvchilar va korporativ muassasalar uchun asosiy kommunikatsiya vositasiga aylangan.

References

Kumar S., Garg P. Spam Email Detection Using Machine Learning Techniques // International Journal of Computer Applications. – 2021. – Vol. 175, No. 30. – P. 25–33.

Ahmed M., Mahmood A. N., Hu J. A Survey of Network Anomaly Detection Techniques // Journal of Network and Computer Applications. – 2016. – Vol. 60. – P. 19–31.

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

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Published

2026-01-01
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