Results 251 to 260 of about 27,263 (310)

Integration of simulated annealing into pigeon inspired optimizer algorithm for feature selection in network intrusion detection systems. [PDF]

PeerJ Comput Sci
Huang W, Tian H, Wang S, Zhang C, Zhang X.   +4 more
europepmc   +1 more source

Modulus‐Switchable Miniature Robots for Biomedical Applications: A Review

Advanced Robotics Research, EarlyView.
Materials, robot designs, proof‐of‐concept functions, and biomedical applications of modulus‐switchable miniature robots. Miniature soft robots have shown great potential in biomedical applications due to their excellent controllability and suitable mechanical properties in biological environments.
Chunyun Wei, Yibin Wang, Jiangfan Yu
wiley   +1 more source

Enhanced Prairie Dog Optimization with Differential Evolution for solving engineering design problems and network intrusion detection system. [PDF]

Heliyon
Alshinwan M, Khashan OA, Khader M, Tarawneh O, Shdefat A, Mostafa N, AbdElminaam DS.   +6 more
europepmc   +1 more source

A Proof‐of‐Concept Assessment of a Novel Wearable Eyelid Muscle Device: A Pre‐Clinical Animal Cadaver Study for Eyelid Closure Restoration

Advanced Robotics Research, EarlyView.
This article introduces a soft wearable eyelid sling device incorporating a hydraulic soft artificial muscle (SAM) for achieving complete closure of an eyelid. The SAM is driven by a cam mechanism that provides a displacement profile closely matched with those of a healthy eyelid.
Patrick Pruscino, Phuoc Thien Phan, James Davies, Bibhu Sharma, Tianruo Guo, Chi Cong Nguyen, Nigel H. Lovell, Thanh Nho Do   +7 more
wiley   +1 more source

Methodology for the Detection of Contaminated Training Datasets for Machine Learning-Based Network Intrusion-Detection Systems. [PDF]

Sensors (Basel)
Medina-Arco JG, Magán-Carrión R, Rodríguez-Gómez RA, García-Teodoro P.   +3 more
europepmc   +1 more source

Enhanced Network Intrusion Detection System for Internet of Things Security Using Multimodal Big Data Representation with Transfer Learning and Game Theory. [PDF]

Sensors (Basel)
Ullah F, Turab A, Ullah S, Cacciagrano D, Zhao Y.   +4 more
europepmc   +1 more source

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Counselors network for intrusion detection

International Journal of Network Management, 2020
SummaryIntrusion detection systems (IDSs) are a fundamental component of defense solutions. In particular, IDSs aim to detect malicious activities on computer systems and networks by relying on data classification models built from a training dataset. However, classifiers' performance can vary for each attack pattern.
Silvio E. Quincozes, Carlos Raniery Paula dos Santos, Raul Ceretta Nunes, Célio Albuquerque 0001, Diego Gimenez Passos 0001, Daniel Mossé   +5 more
openaire   +1 more source

Network intrusion detection

IEEE Network, 1994
Intrusion detection is a new, retrofit approach for providing a sense of security in existing computers and data networks, while allowing them to operate in their current "open" mode. The goal of intrusion detection is to identify unauthorized use, misuse, and abuse of computer systems by both system insiders and external penetrators.
Biswanath Mukherjee, Todd L. Heberlein, Karl N. Levitt   +2 more
openaire   +1 more source

Hybrid network Intrusion Detection

2011 IEEE 7th International Conference on Intelligent Computer Communication and Processing, 2011
In this paper we present a novel Intrusion Detection System which uses a hybrid approach based on a pattern matching engine and a neural network functioning in parallel to improve the detection efficiency. The attacks that this module is able to detect will be presented, as well as the methods used.
Cristina Amza, Catalin Adrian Leordeanu, Valentin Cristea   +2 more
openaire   +1 more source

An efficient network intrusion detection

Computer Communications, 2010
Exploit code based on system vulnerability is often used by attacker. Such exploit program often sends attack packets in the first few packets. A Lightweight Network Intrusion Detection system (LNID) is proposed for detecting such attacks on Telnet traffic. It characterizes normal traffic behavior and computes the anomaly score of a packet based on the
Chia-Mei Chen, Ya-Lin Chen, Hsiao-Chung Lin   +2 more
openaire   +1 more source