An anomaly detection system proposal to ensure information security for file integrations [Dosya Entegrasyonlarinda Bilgi Güvenliginin Saglanmasi için Bir Anomali Tespit Sistem Önerisi]
Küçük Resim Yok
Tarih
2018
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Anomaly detection has an important place in the field of information security with the reason for providing defense against new threats. Additionally, anomaly detection can help organizations to make plan for the unexpected situations. For this reason, it is important to take into account that abnormalities in information systems can occur at any time and there must be an emergency management to perceive the anomalies. Anomaly detection systems must not only find previously known anomalies, but also new unknown anomalies. The most effective solution to detect anomalies is self-learning based approaches. In this study, an anomaly detection system is proposed to be developed for file integration systems. The proposed system aims to provide a solution to information security problems that can be encountered in file integration systems. © 2018 IEEE.
Açıklama
Aselsan;et al.;Huawei;IEEE Signal Processing Society;IEEE Turkey Section;Netas
26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 -- 2 May 2018 through 5 May 2018 -- 137780
26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 -- 2 May 2018 through 5 May 2018 -- 137780
Anahtar Kelimeler
Anomaly detection, File integration, Information security, Machine learning
Kaynak
26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
WoS Q Değeri
Scopus Q Değeri
N/A
