Results 31 to 40 of about 177,571 (274)

Multi-objective optimization algorithms for intrusion detection in IoT networks: A systematic review

Internet of Things and Cyber-Physical Systems
The significance of intrusion detection systems in networks has grown because of the digital revolution and increased operations. The intrusion detection method classifies the network traffic as threat or normal based on the data features.
Shubhkirti Sharma, Vijay Kumar, Kamlesh Dutta   +2 more
doaj   +1 more source

Performance Comparison of Support Vector Machine, Random Forest, and Extreme Learning Machine for Intrusion Detection

IEEE Access, 2018
Intrusion detection is a fundamental part of security tools, such as adaptive security appliances, intrusion detection systems, intrusion prevention systems, and firewalls.
Iftikhar Ahmad, Mohammad Basheri, Muhammad Javed Iqbal, Aneel Rahim   +3 more
doaj   +1 more source

A new unmanned aerial vehicle intrusion detection method based on belief rule base with evidential reasoning

Heliyon, 2022
With the growing security demands in the public, civil and military fields, unmanned aerial vehicle (UAV) intrusion detection has attracted increasing attention.
Yawen Xie, Wei He, Hailong Zhu, Ruohan Yang, Quanqi Mu   +4 more
doaj   +1 more source

CNID: Research of Network Intrusion Detection Based on Convolutional Neural Network

Discrete Dynamics in Nature and Society, 2020
Network intrusion detection system can effectively detect network attack behaviour, which is very important to network security. In this paper, a multiclassification network intrusion detection model based on convolutional neural network is proposed, and
Guojie Liu, Jianbiao Zhang
doaj   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

An intrusion detection algorithm for sensor network based on normalized cut spectral clustering.

PLoS ONE, 2019
Sensor network intrusion detection has attracted extensive attention. However, previous intrusion detection methods face the highly imbalanced attack class distribution problem, and they may not achieve a satisfactory performance.
Gaoming Yang, Xu Yu, Lingwei Xu, Yu Xin, Xianjin Fang   +4 more
doaj   +1 more source

An Implementation of Intrusion Detection System Using Genetic Algorithm

, 2012
Nowadays it is very important to maintain a high level security to ensure safe and trusted communication of information between various organizations. But secured data communication over internet and any other network is always under threat of intrusions
Bikas, Md. Abu Naser, Hoque, Mohammad Sazzadul, Mukit, Md. Abdul   +2 more
core   +2 more sources

Why and When Are Evidence‐Based Interventions Adopted in Paediatric Supportive Care? A Qualitative Exploration of the Determinants of Photobiomodulation Implementation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Oral mucositis is a common and debilitating side effect of childhood cancer and stem cell transplant treatments. It affects the quality of life of children and young people (CYP) and places a strain on services. Photobiomodulation is recommended for oral mucositis prevention in international guidance but is poorly implemented in UK ...
Claudia Heggie, Kara A. Gray‐Burrows, Peter F. Day, Bob Phillips, Carl A. Thompson   +4 more
wiley   +1 more source

A Deep Learning Approach of Intrusion Detection and Tracking with UAV-Based 360° Camera and 3-Axis Gimbal

Drones
Intrusion detection is often used in scenarios such as airports and essential facilities. Based on UAVs equipped with optical payloads, intrusion detection from an aerial perspective can be realized.
Yao Xu, Yunxiao Liu, Han Li, Liangxiu Wang, Jianliang Ai   +4 more
doaj   +1 more source

Sensor networks security based on sensitive robots agents. A conceptual model

, 2012
Multi-agent systems are currently applied to solve complex problems. The security of networks is an eloquent example of a complex and difficult problem. A new model-concept Hybrid Sensitive Robot Metaheuristic for Intrusion Detection is introduced in the
B. Kim, C. Chira, C.-M. Pintea, C.-M. Pintea, E. Bonabeau, M. Dorigo, P.-P. Grassé, R. Stoean, S. Beg, S. Selvakani, W. Lee, Y. Dhanalakshmi   +11 more
core   +1 more source