Titlebook: Industrial Networks and Intelligent Systems; Second International Leandros A. Maglaras,Helge Janicke,Kevin Jones Conference proceedings 201

Vulnerable

An Improved Robust Low Cost Approach for Real Time Vehicle Positioning in a Smart City,e vehicle position. While GPS signals are available, we train the NN with PSO on different dynamics and outage times to learn the position errors so we can correct the future EKF predictions during GPS signal outages. We obtain empirically an improvement of up to 94% over the simple EKF predictions in case of GPS failures.

Merited

Network Topology Exploration for Industrial Networks,lations. Existing exploration methods mostly use active, intrusive methods which have no chance to be applied in sensitive or critical industrial networks. In this paper we present a completely passive approach. It is supplier-independent and provides information that has not been explored before using passive methods.

Costume

使绝缘

侵害

同时发生

Automatic Detection of Hateful Comments in Online Discussion, not violent of about 10% when the error of classifying a non-violent sentence as violent is adjusted to 5%. The best classification performance is achieved by including features that combine specially chosen important words and the distance between those in the sentence.

STALE

Conference proceedings 2017nt Systems, INISCOM 2016 held in Leicester, UK, October 31 – November 1, 2016.. The 15 revised full papers carefully reviewed and selected from 22 submissions. The papers cover topics on industrial networks and applications, intelligent systems, information processing and data analysis, hardware and

Organization

Effect of Network Architecture Changes on OCSVM Based Intrusion Detection System, of defense mechanisms. This article investigates how changes in the network architecture of the SCADA system affect the performance of an IDS that is based on the One class Support Vector Machine (OCSVM). Also the article proposes an adaptive mechanism that can cope with such changes and can work in real time situations.

跟随

CAGE