نتایج جستجو برای: dataset nsl kdd

تعداد نتایج: 96149  

Journal: :Computer systems science and engineering 2022

Enhancement in wireless networks had given users the ability to use Internet without a physical connection router. Almost every of Things (IoT) devices such as smartphones, drones, and cameras technology (Infrared, Bluetooth, IrDA, IEEE 802.11, etc.) establish multiple inter-device connections simultaneously. With flexibility network, one can set up numerous ad-hoc on-demand, connecting hundred...

Journal: :Journal of Sensors 2022

Cloud services are a popular concept used to describe how internet-based delivered and maintained. The computer technology environment is being restructured with respect information preservation. Data protection of critical importance when storing huge volumes information. In today’s cyber world, an intrusion significant security problem. Services, information, all vulnerable attack in the clou...

Journal: :International Journal of Advanced Technology and Engineering Exploration 2016

2016
Naila Belhadj Aissa Mohamed Guerroumi

Intrusion Detection Systems (IDS) have become a very important defense measure against security threats. In recent years, computer networks are widely deployed for critical and complex systems, which make them more vulnerable to network attacks. In this paper, we propose a two-stage Semi-supervised Statistical approach for Anomaly Detection (SSAD). The first stage of SSAD aims to build a probab...

2015
Meesala Shobha Rani S. Basil Xavier

Cyber security threats have become increasingly sophisticated and complex. Intrusion detection which is one of the major problems in computer security has the main goal to detect infrequent access or attacks and to protect internal networks. A new hybrid intrusion detection method combining multiple classifiers for classifying anomalous and normal activities in the computer network is presented...

Journal: :Int. J. Computational Intelligence Systems 2016
Jamal Hussain Samuel Lalmuanawma Lalrinfela Chhakchhuak

Conventional Network intrusion detection system (NIDS) mostly uses individual classification techniques, such system fails to provide the best possible attack detection rate. In this paper, we propose a new two-stage hybrid classification method using Support Vector Machine (SVM) as anomaly detection in the first stage, and Artificial Neural Network (ANN) as misuse detection in the second. The ...

2014
D. P. Gaikwad Ravindra R Thool

Due to the rapid expansion and advancements of computer network, security has become a vital issue for modern computer network. The network intrusion detection systems play the vital role in protecting the computer networks. So, it has become a significant research issue. In spite of notable progress in intrusion detection system, there are still many opportunities to improve the existing syste...

Journal: :International Journal of Database Theory and Application 2013

Journal: :CoRR 2015
Yasmen Wahba Ehab ElSalamouny Ghada ElTaweel

Intrusion detection systems (IDS) are widely studied by researchers nowadays due to the dramatic growth in network-based technologies. Policy violations and unauthorized access is in turn increasing which makes intrusion detection systems of great importance. Existing approaches to improve intrusion detection systems focus on feature selection or reduction since some features are irrelevant or ...

Journal: :I. J. Network Security 2017
Ebenezer Popoola Aderemi Oluyinka Adewumi

Network intrusion is a critical challenge in information and communication systems amongst other forms of fraud perpetrated over the Internet. Despite the various traditional techniques proposed to prevent this intrusion, the threat persists. These days, intrusion detection systems (IDS) are faced with detecting attacks in large streams of connections due to the sporadic increase in network tra...

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