The role of KL divergence in anomaly detection

2011 ◽  
Author(s):  
Lele Zhang ◽  
Darryl Veitch ◽  
Kotagiri Ramamohanarao
Keyword(s):  
Anomaly Detection ◽  
Kl Divergence

scholarly journals A Review of Anomaly Detection Techniques and Distributed Denial of Service (DDoS) on Software Defined Network (SDN)

2018 ◽  
Vol 8 (2) ◽  
pp. 2724-2730 ◽  
Author(s):  
M. H. H. Khairi ◽  
S. H. S. Ariffin ◽  
N. M. Abdul Latiff ◽  
A. S. Abdullah ◽  
M. K. Hassan
Keyword(s):  
Anomaly Detection ◽  
Network Architecture ◽  
Denial Of Service ◽  
Software Defined Network ◽  
Distributed Denial Of Service ◽  
Ddos Attacks ◽  
Detection Techniques ◽  
And Control ◽  
Entire Network

Software defined network (SDN) is a network architecture in which the network traffic may be operated and managed dynamically according to user requirements and demands. Issue of security is one of the big challenges of SDN because different attacks may affect performance and these attacks can be classified into different types. One of the famous attacks is distributed denial of service (DDoS). SDN is a new networking approach that is introduced with the goal to simplify the network management by separating the data and control planes. However, the separation leads to the emergence of new types of distributed denial-of-service (DDOS) attacks on SDN networks. The centralized role of the controller in SDN makes it a perfect target for the attackers. Such attacks can easily bring down the entire network by bringing down the controller. This research explains DDoS attacks and the anomaly detection as one of the famous detection techniques for intelligent networks.

Detection of Lexical and Morphological Anomalies by Children With and Without Language Impairment

2014 ◽  
Vol 57 (1) ◽  
pp. 236-246
Author(s):  
Monika Pawłowska ◽  
Sarah Robinson ◽  
Amebu Seddoh
Keyword(s):  
Anomaly Detection ◽  
Language Impairment ◽  
Future Research ◽  
Relative Role ◽  
Typically Developing ◽  
Linguistic Context ◽  
Detection Rates ◽  
Grammatical Morphemes ◽  
Morphological Anomalies

Purpose The abilities of 5-year-old children with and without language impairment (LI) to detect anomalies involving lexical items and grammatical morphemes in stories were compared. The influence of sentence versus discourse context on lexical anomaly detection rates was explored. Method The participants were read 3 story scripts and asked to detect the anomalies embedded in them. Results Typically developing (TD) children outperformed their peers with LI across the board. For both groups, lexical anomalies were easier to detect than morphological anomalies. Similarly, anomalous nouns were easier for both groups to detect compared with anomalous verbs. The latter presented a particular challenge to the children with LI. Both groups had greater difficulty with lexical anomaly detection in discourse relative to sentence context. Conclusion These outcomes suggest that children's ability to detect anomalies is sensitive to the nature of the anomaly and the linguistic context involved in anomaly detection. Future research may address the relative role of linguistic and cognitive factors in anomaly detection.

Hyperspectral Band Selection for Anomaly Detection: The Role of Data Gaussianity

2016 ◽  
Vol 9 (2) ◽  
pp. 732-743 ◽  
Author(s):  
Merav Huber-Lerner ◽  
Ofer Hadar ◽  
Stanley R. Rotman ◽  
Revital Huber-Shalem
Keyword(s):  
Anomaly Detection ◽  
Band Selection ◽  
Selection For

Role of dactinomycin in the improved survival of children with Wilms' tumor

JAMA ◽  
1966 ◽  
Vol 195 (12) ◽  
pp. 1005-1009 ◽  
Author(s):  
D. J. Fernbach
Keyword(s):  
Wilms Tumor

Role of the allergist in diagnosis and management of patients with uveitis

JAMA ◽  
1966 ◽  
Vol 195 (3) ◽  
pp. 167-172 ◽  
Author(s):  
T. E. Van Metre
Keyword(s):  
Diagnosis And Management

The power of norms to sway fused group members

2018 ◽  
Vol 41 ◽  
Author(s):  
Winnifred R. Louis ◽  
Craig McGarty ◽  
Emma F. Thomas ◽  
Catherine E. Amiot ◽  
Fathali M. Moghaddam
Keyword(s):  
Evolutionary Anthropology ◽  
Normative Systems ◽  
Violent Extremism ◽  
Identity Fusion ◽  
Group Members

AbstractWhitehouse adapts insights from evolutionary anthropology to interpret extreme self-sacrifice through the concept of identity fusion. The model neglects the role of normative systems in shaping behaviors, especially in relation to violent extremism. In peaceful groups, increasing fusion will actually decrease extremism. Groups collectively appraise threats and opportunities, actively debate action options, and rarely choose violence toward self or others.

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