Anomaly detection in vessel tracks using Bayesian networks
نویسندگان
چکیده
Article history: Available online 2 April 2013
منابع مشابه
Learning Abnormal Vessel Behaviour from AIS Data with Bayesian Networks at Two Time Scales∗
In recent years, electronic vessel tracking has provided abundant data on vessel movements to surveillance authorities. Researchers have begun looking at the use of this data for anomaly detection using a wide variety of data mining techniques. Here we tackle anomaly detection with Bayesian Networks, training them with real world AIS data and producing models at two different time scales — both...
متن کاملDynamic anomaly detection by using incremental approximate PCA in AODV-based MANETs
Mobile Ad-hoc Networks (MANETs) by contrast of other networks have more vulnerability because of having nature properties such as dynamic topology and no infrastructure. Therefore, a considerable challenge for these networks, is a method expansion that to be able to specify anomalies with high accuracy at network dynamic topology alternation. In this paper, two methods proposed for dynamic anom...
متن کاملHybrid Fuzzy Based Intrusion Detection System for Wireless Local Area Networks (HFIDS)
ISSN 2250 – 110X | © 2011 Bonfring Abstract--The drawback of the anomaly based intrusion detection in a wireless network is the high rate of false positive. By designing a hybrid intrusion detection system can solve this by connecting a misuse detection module to the anomaly detection module. In this paper, we propose to develop a hybrid intrusion detection system for wireless local area networ...
متن کاملPotential Fields in Maritime Anomaly Detection
This paper presents a novel approach for pattern extraction and anomaly detection in maritime vessel traffic, based on the theory of potential fields. Potential fields are used to represent and model normal, i.e. correct, behaviour in maritime transportation, observed in historical vessel tracks. The recorded paths of each maritime vessel generate potentials based on metrics such as geographica...
متن کاملA Hybrid Data Mining based Intrusion Detection System for Wireless Local Area Networks
The exponential growth in wireless network faults, vulnerabilities, and attacks make the WLAN security management a challenging research area [29]. Data mining applied to intrusion detection is an active area of research. The main reason for using data mining techniques for intrusion detection systems is due to the enormous volume of existing and newly appearing network data that require proces...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Int. J. Approx. Reasoning
دوره 55 شماره
صفحات -
تاریخ انتشار 2014