GDL

Journal from gdlhub / 2020-04-07 10:54:17
Oleh : K. Munivara Prasad, A. Rama Mohan Reddy, K. Venugopal Rao, King Saud University
Dibuat : 2020-01-06, dengan 1 file

Keyword : Denial of Service (DoS) Attacks, Distributed DoS (DDoS) Attacks, Application Layer DDoS (APP-DDoS), Bio inspired approaches
Url : http://www.sciencedirect.com/science/article/pii/S1319157817300952
Sumber pengambilan dokumen : Web

The internet network is mostly victimized to the Distributed Denial of Service (DDOS) Attack, which is one that intentionally occupies the computing resources and bandwidth in order to deny that services to potential users. The attack scenario is to flood the packets immensely. If the attack source is single, then the attack is referred as denial of service (DOS) and if attack is sourced from divergent servers, then it is referred as DDOS. It is imperative from the analysis that there are constraints in the existing models since the most of these models are user session based and/or packet flow patterns. The session based evolution models are vulnerable to botnets and packet flow pattern based models are vulnerable if attack sources are equipped with human resource and/or proxy servers. Hence, there is inherent need for improving the solutions towards addressing the App-DDoS attacks over the system. The crux for such system is about ensuring that fast and early detection with minimal false alarming in streaming network transactions, and ensures that the genuine requests are not impacted. To address such a system, the model of Bio-Inspired Anomaly based App-DDoS detection aimed, and the proposed model depicted in detail along with experimental inputs. Results attained from the process exemplify the significance and robustness of the model towards achieving the objectives considered for the solution.

Beri Komentar ?#(0) | Bookmark

Properti	Nilai Properti
ID Publisher	gdlhub
Organisasi	King Saud University
Nama Kontak	Herti Yani, S.Kom
Alamat	Jln. Jenderal Sudirman
Kota	Jambi
Daerah	Jambi
Negara	Indonesia
Telepon	0741-35095
Fax	0741-35093
E-mail Administrator	elibrarystikom@gmail.com
E-mail CKO	elibrarystikom@gmail.com