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Bugungi kunda internet foydalanuvchilarining soni keskin ortib borishi, tarmoq administratorlari va internet xizmat provayderlari uchun kundan-kun ortib borayotgan katta hajmdagi internet trafigini boshqarish hamda nazorat qilishda murakkabliklarni keltirib chiqaradi. Shu bilan birga internet tarmog‘i orqali taqdim etilayotgan xizmat turlarini ortib borishi orqali, tarmoq xavfsizligini taminlashda, hamda tarmoqni samarali boshqarishda paydo bo‘lgan muammolarni, tarmoq trafigini sinflashtirish va filtrlash orqali samarali yechish mumkin. Ushbu maqolada telekommunikatsiya tarmoq trafigini sinflashtirish va filtrlash uchun dasturiy ta’minot ishlab chiqildi va dasturiy ta’minot natijalalar olinib, taqqoslandi.

  • O'qishlar soni 27
  • Nashr sanasi 21-10-2024
  • Asosiy tilO'zbek
  • Sahifalar869-875
Ўзбек

Bugungi kunda internet foydalanuvchilarining soni keskin ortib borishi, tarmoq administratorlari va internet xizmat provayderlari uchun kundan-kun ortib borayotgan katta hajmdagi internet trafigini boshqarish hamda nazorat qilishda murakkabliklarni keltirib chiqaradi. Shu bilan birga internet tarmog‘i orqali taqdim etilayotgan xizmat turlarini ortib borishi orqali, tarmoq xavfsizligini taminlashda, hamda tarmoqni samarali boshqarishda paydo bo‘lgan muammolarni, tarmoq trafigini sinflashtirish va filtrlash orqali samarali yechish mumkin. Ushbu maqolada telekommunikatsiya tarmoq trafigini sinflashtirish va filtrlash uchun dasturiy ta’minot ishlab chiqildi va dasturiy ta’minot natijalalar olinib, taqqoslandi.

№ Muallifning F.I.Sh. Lavozimi Tashkilot nomi
1 Tojiyeva F.Q. doktorant Muhammad al-Xorazmiy nomidagi Toshkent axborot texnologiyalari universiteti
№ Havola nomi
1 A.Madhukar, C.Williamson, A longitudinal study of p2p traffic classification, in: 14th IEEE International Symposium on Modeling, and Simulation, 2006, pp.179-188. doi: 10.1109/MASCOTS.2006.6
2 A.W.Moore, K.Papagiannaki, Toward the accurate identification of network applications, in: C. Dovrolis (Ed.), Passive and Active Network Measurement, Springer Berlin Heidelberg, Berlin, Heidelberg, 2005, pp.41-54
3 Moore A., Zuev D., Crogan M.Discriminators for use in flow-based classification. Technical Report RR-05-13, Department of Computer Science, Queen Mary, University of London, 2005
4 T. Yildirim and P. Radeliffe, “VoIP traffic classification in IPsec tunnels”, in Electronics and Information Engineering (ICEIE), 2010 International Conference On, vol. 1, 2010, pp. V1-151-V1-157
5 Al Khater, N., Overill, R.E., “Network Traffic Classification Techniques and Challenges”. In the 10th International Conference on Digital Information Management, ICDIM 2015. pp. 43-48, October 2015
6 Yu Liu, “A survey of machine learning based packet classification” Published 2012; Computer Science
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