Results 31 to 40 of about 2,861,414 (289)

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

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 immunological approach to intrusion detection [PDF]

, 2000
This paper presents an examination of intrusion detection schemes. It discusses traditional views of intrusion detection, and examines the more novel, but perhaps more effective, approach to intrusion detection as modeled on the human immune system ...
Watkins, A., Andrew Watkins
core  

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

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

Flow-based intrusion detection [PDF]

12th IFIP/IEEE International Symposium on Integrated Network Management (IM 2011) and Workshops, 2011
The spread of 1-10 Gbps technology has in recent years paved the way to a flourishing landscape of new, high-bandwidth Internet services.At the same time, we have also observed increasingly frequent and widely diversified attacks. To this threat, the research community has answered with a growing interest in intrusion detection, aiming to timely detect
Anna Sperotto, Aiko Pras
openaire   +3 more sources

Solid Pseudopapillary Neoplasm of the Pancreas in Children and Adolescents: Expert Recommendations

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Solid pseudopapillary neoplasm of the pancreas (SPN) is a rare low‐grade malignant exocrine pancreatic tumor, mostly discovered during the second decade of life in females, with a very good prognosis, provided microscopically complete surgical excision is achieved.
Sabine Irtan, Michael Abele, Calogero Virgone, Michaela Kuhlen, Ricardo Lopez‐Almarez, Tal Ben‐Ami, Ewa Bien, Maja Cesen, Malgorzata A. Krawczyk, Andrea Ferrari, Gianni Bisogno, Yves Reguerre, Dominik T. Schneider, Louise Galmiche, Jorg Fuchs, Sarah Braungart, Bilgehan Yalcin, Ines B. Brecht, Daniel Orbach   +18 more
wiley   +1 more source

Intrusion detection and management over the world wide web [PDF]

, 2010
As the Internet and society become ever more integrated so the number of Internet users continues to grow. Today there are 1.6 billion Internet users. They use its services to work from home, shop for gifts, socialise with friends, research the family ...
Luan, Hai Ying, Hai Ying Luan
core   +2 more sources

Machine Learning for Intrusion Detection: Modeling the Distribution Shift [PDF]

, 2010
This paper addresses two important issue that arise in formulating and solving computer intrusion detection as a machine learning problem, a topic that has attracted considerable attention in recent years including a community wide competition using a ...
Saunders, Craig, Niranjan, Mahesan, Farran, Bassam, Craig Saunders, Mahesan Niranjan, Bassam Farran   +5 more
core   +2 more sources

Behavioral Intrusion Detection [PDF]

, 2004
In this paper we describe anomaly-based intrusion detection as a specialized case of the more general behavior detection problem. We draw concepts from the field of ethology to help us describe and characterize behavior and interactions. We briefly introduce a general framework for behavior detection and an algorithm for building a Markov-based model ...
openaire   +3 more sources