Mendedahkan Ciri Terpilih Yang Mempengaruhi Pengecaman Botnet HTTP
نویسندگان
چکیده
Botnet dikenalpasti sebagai salah satu ancaman yang paling banyak muncul kerana penjenayah Siber berusaha gigih untuk menjadikan sebahagian besar pengguna rangkaian komputer sasaran mereka. Oleh itu, ramai penyelidik telah menjalankan kajian mengenai botnet dan cara mengesan dalam trafik rangkaian. Kebanyakan mereka hanya menggunakan ciri di sistem tanpa menyebut pengaruh pengesanan botnet. Pemilihan adalah penting ia boleh meningkatkan ketepatan pengesanan. Selain penyelidikan sedia ada lebih menumpukan kepada teknik pengecaman daripada mendedahkan tujuan sebalik pemilihan. Dalam ini, kaedah pembelajaran mesin diselia digunakan fokus utama pada pemilihan akan statistik. Keputusan diperoleh menunjukkan kira-kira 91% diterima aktiviti seterusnya mengesahkan pendekatan statistik terbukti membezakan kehadiran HTTP
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ژورنال
عنوان ژورنال: Jurnal Elektronika, Listrik dan Teknologi Informasi Terapan (ELTI)
سال: 2022
ISSN: ['2685-7014', '2685-2276']
DOI: https://doi.org/10.37338/elti.v4i1.220