[PDF] Top 20 Low-Rate False Alarm Anomaly-Based Intrusion Detection System with One-Class SVM
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Low-Rate False Alarm Anomaly-Based Intrusion Detection System with One-Class SVM
... of one breach increased from ...an intrusion into the systems, and they produce extra work for the ...of intrusion detection systems with the ability to distinguish attacks from ... Voir le document complet
100
Online One-class Classification for Intrusion Detection Based on the Mahalanobis Distance
... compared with two other approaches, the online quarter-sphere SVM [8] and the online coherence-based one-class ...online intrusion detection algorithms is the time for ... Voir le document complet
7
Distance Measures for Anomaly Intrusion Detection
... for intrusion detection. Liao and Vemuri [12] developed an intrusion detection method by using the text categorization techniques based on the frequency attributes of system ... Voir le document complet
10
A real-time and robust intrusion detection system with commodity wi-fi
... effect based human intrusion detection system, called RR- ...a low false alarms rate. In summary, RR-Alarm makes the following con- tributions: 1) To the best of ... Voir le document complet
5
Clustering-Based Anomaly Detection in Multi-View Data
... maly detection algorithm, called horizontal anomaly detec- tion (HOAD), that exploits several different data sources, ...views with spectral clustering [ 6 ] and then classifies as anomalies the ... Voir le document complet
4
Fire alarm and detection systems
... Fire alarm systems can be designed to control the operation of the building service equipment to minimize the spread of fire and ...the system can automatically engage equipment to pressurize stairwells or ... Voir le document complet
6
Automated structural damage detection using one class machine learning
... Previous research which has focused on the goal of developing automated, 'smart sensing' SHM technology, as described above, has adopted a data-based approach to da[r] ... Voir le document complet
103
Automatic intrusion recovery with system-wide history
... Given the action history graph, RETRO rolls back objects directly affected by the attack, and re-executes legitimate actions indirectly affected by our changes in the hi[r] ... Voir le document complet
71
One-class Machines Based on the Coherence Criterion
... applied, with κ(xi, xj ) = exp(−#x i − x j # 2 /2σ 2 ) where σ is the tunable bandwidth ...a one-class classifier was constructed for each class, called target ...subsets, one used for ... Voir le document complet
5
Towards privacy preserving cooperative cloud based intrusion detection systems
... cloud-based Intrusion Detection System (IDS) to detect all attacks, because of limited and incomplete knowledge about attacks and their ...cloud- based IDSs can bring higher ... Voir le document complet
88
Sequence Covering for Efficient Host-Based Intrusion Detection
... address anomaly detection in sequential data [10] while focusing on intrusion detection in cyber- physical ...systems. Intrusion [11] refers to possible security breaches in ... Voir le document complet
15
Securing your network with snort intrusion detection
... much more focused search path, network traffic is not needlessly passed by all available rules. It only reaches the ones for which there is potential to trigger an alert. The detection engine can generate output ... Voir le document complet
64
2015 — Anomaly detection system using system calls for android smartphone system
... along with the capacity of storing only thirty contact numbers (Engineers’ Forum, ...phones with new features and higher capac- ...phone with innovative ...operating system used for a wide ... Voir le document complet
164
Accurate estimates of false alarm number in shape recognition
... Unité de recherche INRIA Lorraine, Technopôle de Nancy-Brabois, Campus scientifique, 615 rue du Jardin Botanique, BP 101, 54600 VILLERS LÈS NANCY Unité de recherche INRIA Rennes, Irisa, [r] ... Voir le document complet
32
An intrusion detection system on network security for web application
... As the illustration in Figure 3-1 , Analysis Engine retrieves configuration and profile information from database for intrusion analysis, and Response Module saves ma[r] ... Voir le document complet
100
Anomaly Detection Based on Confidence Intervals Using SOM with an Application to Health Monitoring
... out anomaly detection for datastreams using this ...the system with each novel data sample, but it would be very ...Instead, one can try to make each component of the system to ... Voir le document complet
12
UNSUPERVISED ONE-CLASS SVM USING A WATERSHED ALGORITHM AND HYSTERESIS THRESHOLDING TO DETECT BURNT AREAS
... This paper addresses the issue of color image classification. Support Vector Machines (SVM) have shown great performances concerning classification problems but require positive and negative training sets. ... Voir le document complet
5
Pattern-based Method for Anomaly Detection in Sensor Networks
... of anomaly detection methods on index ...is based on the nearest K neighbors, produces an index, called the score func- tion, which represents the degree of anomaly assumed for the ...the ... Voir le document complet
12
Pattern-based Method for Anomaly Detection in Sensor Networks
... comparing with the index data. Even with this type of data, our approach has obtained the best result of F-measure by comparing with other ...anomalies with the least possible errors ... Voir le document complet
11
LSTM-based radiography for anomaly detection in softwarized infrastructures
... container-orchestration system that aims to provide a platform for automating deployment, scaling, and operations of application containers across clus- ters of ...operating system sharing among the ... Voir le document complet
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