Results 71 to 80 of about 22,732,474 (193)
Wireless Intrusion Prevention Systems [PDF]
The wireless networks have changed the way organizations work and offered a new range of possibilities, but at the same time they introduced new security threats.
Jack TIMOFTE
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Network Intrusion Detection Using Optimal Perception with Cuckoo Algorithm
To safeguard computer networks from intruders, intrusion detection systems have been created. These systems operate in conjunction with firewalls and other security measures to guarantee the safety and efficiency of the computer system.
Hameed Lafta
doaj +1 more source
Anomaly Intrusion Detection based on Concept Drift [PDF]
Nowadays, security on the internet is a vital issue and therefore, intrusion detection is one of the major research problems for networks that defend external attacks. Intrusion detection is a new approach for providing security in existing computers and
Gokul R +3 more
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Adversarial Drift Detection in Intrusion Detection System
The recent intrusion detection systems based on machine learning generally assume that the intrusion traffic always satisfies stationary of statistics.However,this assumption is not always held when adversaries arbitrarily alter the distribution of ...
Yaguan Qian, Xiaohui Guan
doaj +2 more sources
A Structured Approach to Selecting Data Collection Mechanisms for Intrusion Detection
This chapter aims at providing a clear and concise picture of data collection for intrusion detection. It provides a detailed explanation of generic data collection mechanism components and the interaction with the environment, from initial triggering to
Larson, Ulf +5 more
core +1 more source
Mobile Ad Hoc Network (MANET) is a collection of nodes, which form an infastructureless topology. There is no central access point or centralized management. Intrusion detection in MANETs, however, is challenging for a number of reasons.
Süreyya Mutlu, Güray Yılmaz
doaj
A Feature Selection Method Base on Fisher Score for Detecting SVM-Based Network Intrusions
Mohammad Hassan Nataj Solhdar
doaj
Anomaly intrusion detection based on fuzzy logic and data mining [PDF]
Intrusion Detection Systems are increasingly a key part of systems defense. Various approaches to Intrusion Detection are currently being used, but they are relatively ineffective. Artificial Intelligence plays a driving role in security services.
Idris, Norbik Bashah +1 more
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Safeguarding IoMT: Semi-automated Intrusion Detection System (SAIDS) for detecting multilayer attacks [PDF]
The Internet of Medical Things (IoMT) plays a significant role in the healthcare system as it improves effectiveness and efficiency of treatment by continuously monitoring patients using smart home sensor and wearables (Fig. 1).
Al Sukhni, B. +3 more
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Ensemble classifiers for network intrusion detection system [PDF]
Two of the major challenges in designing anomaly intrusion detection are to maximize detection accuracy and to minimize false alarm rate. In addressing this issue, this paper proposes an ensemble of one-class classifiers where each adopts different ...
Zainal, Anazida +2 more
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