Exploration of Singular Spectrum Analysis for Online Anomaly Detection in CRNs
نویسندگان
چکیده
منابع مشابه
Exploration of Singular Spectrum Analysis for Online Anomaly Detection in CRNs
Cognitive radio networks (CRNs) have been recognized as a promising technology that allows secondary users (SUs) extensively explore spectrum resource usage efficiency, while not introducing interference to licensed users. Due to the unregulated wireless network environment, CRNs are susceptible to various malicious entities. Thus, it is critical to detect anomalies in the first place. However,...
متن کاملAnomaly Detection in Cognitive Radio Networks Exploiting Singular Spectrum Analysis
Cognitive radio networks (CRNs) is a promising technology that allows secondary users (SUs) extensively explore spectrum resource usage efficiency, while not introducing interference to licensed users. Due to the unregulated wireless network environment, CRNs are susceptible to various malicious entities. Thus, it is critical to detect anomalies in the first place. However, from the perspective...
متن کاملSecurity analysis of online centroid anomaly detection
Security issues are crucial in a number of machine learning applications, especially in scenarios dealing with human activity rather than natural phenomena (e.g., information ranking, spam detection, malware detection, etc.). It is to be expected in such cases that learning algorithms will have to deal with manipulated data aimed at hampering decision making. Although some previous work address...
متن کاملDetection of Mo geochemical anomaly in depth using a new scenario based on spectrum–area fractal analysis
Detection of deep and hidden mineralization using the surface geochemical data is a challenging subject in the mineral exploration. In this work, a novel scenario based on the spectrum–area fractal analysis (SAFA) and the principal component analysis (PCA) has been applied to distinguish and delineate the blind and deep Mo anomaly in the Dalli Cu–Au porphyry mineralization area. The Dalli miner...
متن کاملBehavior-Based Online Anomaly Detection for a Nationwide Short Message Service
As fraudsters understand the time window and act fast, real-time fraud management systems becomes necessary in Telecommunication Industry. In this work, by analyzing traces collected from a nationwide cellular network over a period of a month, an online behavior-based anomaly detection system is provided. Over time, users' interactions with the network provides a vast amount of usage data. Thes...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: ICST Transactions on Security and Safety
سال: 2017
ISSN: 2032-9393
DOI: 10.4108/eai.28-12-2017.153516