Intrusion Detection

ISBN-13: 9786206158851 / Angielski / Miękka / 236 str.

Gunavathi Ramasamy; P Sudha

Opis

Network intrusion detection is one of the central systems used in cyber security to prevent the intrusions in the organisation's networks. Tackling the attempts to compromise the confidentiality, integrity and availability of computer networks' security mechanisms in a big data environment is the most challenging task due to the volume and variety of big data. This study presented to tackle the challenges in network Intrusion Detection Systems (IDS) and demonstrate intelligent algorithms' development to detect the intrusions in big network data. The problem is the practical selection of the features from the network dataset as it dramatically impacts the intrusion detection accuracy. Hence, an efficient feature selection approach must be introduced to achieve higher accuracy with a reduced number of features.

O autorze

Dr. R. Gunavathi is working as Associate Professor, CHRIST University. Her current research interest is in Mobile Ad Hoc Networks, Vehicular Ad hoc Networks, Data Analytics and Bigdata Analytics. She has produced 3 PhD Scholars and 15 MPhil scholars. She has published many articles in the reputed international journals.