Improving Intrusion Detection Accuracy using Convolution Neural Network

Autor: Vara, Samuel Sudheer, Ashalata Panigrahi, Manas Ranjan Patra

Network Intrusion Detection has been an active area of research with the growing incidences of cybercrimes. This has led to continuous monitoring of network traffic, analysis, and raise alarm if any abnormality is noticed so as to trigger appropriate

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22b12719ce8648ae70a36bdc8a115fad

A Layered Approach to Network Intrusion Detection Using Rule Learning Classifiers with Nature-Inspired Feature Selection

Autor: Ashalata Panigrahi, Manas Ranjan Patra

Publikováno v: Advances in Intelligent Systems and Computing ISBN: 9789811078705

Intrusion detection systems are meant to provide secured network computing environment by protecting against attackers. The challenge in building an intrusion detection model is to deal with unbalanced intrusion datasets, i.e., when one class is repr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bdfdd1967126fa4f2cf9320bcc972520
https://doi.org/10.1007/978-981-10-7871-2_21

Contributors

Autor: Taiwo Adetiloye, Sondipon Adhikari, Ibrahim Aljarah, Senjian An, Serdar Aslan, Anjali Awasthi, Ashish Bakshi, Mohammed Bennamoun, Selami Beyhan, Vimal Bhatia, Gautam Bhattacharya, Alirezah Bosaghzadeh, Farid Boussaid, Dieu Tien Bui, Kien-Trinh Thi Bui, Quang-Thanh Bui, Anusheema Chakraborty, Tanmoy Chatterjee, Rajib Chowdhury, Alan Crosky, Sarat Kumar Das, Pradipta K. Dash, Rajashree Dash, Babette Dellen, Serge Demidenko, Vahdettin Demir, Murat Diker, Erdem Dilmen, Chinh Van Doan, Fadi Dornaika, Nikoo Fakhari, Hossam Faris, Robert B. Fisher, Amir H. Gandomi, Raoof Gholami, Kuntal Ghosh, Nhat-Duc Hoang, Renae Hovey, Farzad Husain, Ioanna Ilia, Peng Jiang, Pawan K. Joshi, Taskin Kavzoglu, Gary Kendrick, Ozgur Kisi, Ye Chow Kuang, Sajad Madadi, Mojtaba Maghrebi, Ammar Mahmood, Manish Mandloi, Mohamed Arezki Mellal, Youssef El Merabet, Subhadeep Metya, Seyedali Mirjalili, Behnam Mohammadi-Ivatloo, Ranajeet Mohanty, Abdelmalik Moujahid, Aparajita Mukherjee, V. Mukherjee, Tanmoy Mukhopadhyay, J. Mukund Nilakantan, Morteza Nazari-Heris, Peter Nielsen, Stavros Ntalampiras, Melanie Po-Leen Ooi, Ashalata Panigrahi, Manas R. Patra, S.G. Ponnambalam, Dharmbir Prasad, Yassine Ruichek, Kamna Sachdeva, Mohamed G. Sahab, Houssam Salmane, Serkan Saydam, Jalal Shiri, Ferdous Sohel, Hong Kuan Sok, Shakti Suman, Vassili V. Toropov, Carme Torras, Paraskevas Tsangaratos, Edward J. Williams, Selim Yilmaz, Milad Zamani-Gargari

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4ce8403040fa779de02a61a064148279
https://doi.org/10.1016/b978-0-12-811318-9.00039-9

Performance Evaluation of Rule Learning Classifiers in Anomaly Based Intrusion Detection

Autor: Manas Ranjan Patra, Ashalata Panigrahi

Publikováno v: Advances in Intelligent Systems and Computing ISBN: 9788132227298

Intrusion Detection Systems (IDS) are intended to protect computer networks from malicious users. Several data mining techniques have been used to build intrusion detection models for analyzing anomalous behavior of network users. However, the perfor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::641cf1f530b5a7573657b4290785b689
https://doi.org/10.1007/978-81-322-2731-1_9

Enhancing Performance of Intrusion Detection through Soft Computing Techniques

Autor: Manas Ranjan Patra, Ashalata Panigrahi

Publikováno v: 2013 International Symposium on Computational and Business Intelligence.

The worldwide rapid expansion of computer networks and ever growing dependence of organizations on network based information management have led to serious security concerns. Among other security threats network intrusion has been a major concern whi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::944f012e8100ee2b3cf8c47b38a13862
https://doi.org/10.1109/iscbi.2013.17