abnormal node
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Algorithms ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 368
Author(s):  
Yajing Zhang ◽  
Kai Wang ◽  
Jinghui Zhang

Considering the contradiction between limited node resources and high detection costs in mobile multimedia networks, an adaptive and lightweight abnormal node detection algorithm based on artificial immunity and game theory is proposed in order to balance the trade-off between network security and detection overhead. The algorithm can adapt to the highly dynamic mobile multimedia networking environment with a large number of heterogeneous nodes and multi-source big data. Specifically, the heterogeneous problem of nodes is solved based on the non-specificity of an immune algorithm. A niche strategy is used to identify dangerous areas, and antibody division generates an antibody library that can be updated online, so as to realize the dynamic detection of the abnormal behavior of nodes. Moreover, the priority of node recovery for abnormal nodes is decided through a game between nodes without causing excessive resource consumption for security detection. The results of comparative experiments show that the proposed algorithm has a relatively high detection rate and a low false-positive rate, can effectively reduce consumption time, and has good level of adaptability under the condition of dynamic nodes.


2021 ◽  
Vol 108 (Supplement_7) ◽  
Author(s):  
Muhammad Abdullah

Abstract Aims Fast-track axillary node clearance (ANC) leads to overtreatment of axilla. Improved quantification by axillary US (AUS) is suggested to avoid unnecessary ANC and proceed with ANC or SLNB based on the number of abnormal axillary nodes. This retrospective study was aimed to evaluate whether ANC can be omitted based on AUS quantification in patients with low axillary burden. Methods Retrospective data of breast cancer patients who underwent ANC following a positive pre-operative axillary nodal biopsy between 1 January 2017 and 31 December 2018 were included in this study. The patients who received neoadjuvant chemotherapy, those having ANC following positive SLNB and those with axillary recurrence were excluded. The histopathology results of ANC were correlated with axillary ultrasound findings. Results 45 patients underwent fast-track ANC following positive axillary core biopsy. On pre-operative AUS, 18 of these patients were reported to have a single abnormal node, while 8 had two abnormal nodes and 19 patients had multiple abnormal nodes. The comparison of the number of metastatic nodes following ANC, and the reported abnormal nodes on pre-operative AUS, showed that 57.3% of patients with 1 – 2 abnormal nodes on AUS had 3 or more metastatic nodes and 26.3% of patients with multiple abnormal nodes on AUS had 1 – 2 metastatic nodes following ANC. Conclusions The quantification of the axillary burden with pre-operative AUS does not correlate with the number of metastatic axillary nodes. The reported relevant axillary burden on AUS is not sufficiently specific to form the basis of omission of ANC.


2021 ◽  
Vol 13 (5) ◽  
pp. 43-64
Author(s):  
M. Sravan Kumar Reddy ◽  
Dharmendra Singh Rajput

At present, the field of homeland security faces many obstacles while determining abnormal or suspicious entities within the huge set of data. Several approaches have been adopted from social network analysis and data mining; however, it is challenging to identify the objective of abnormal instances within the huge complicated semantic graphs. The abnormal node is the one that takes an individual or abnormal semantic in the network. Hence, for defining this notion, a graph structure is implemented for generating the semantic profile of each node by numerous kinds of nodes and links that are associated to the node in a specific distance via edges. Once the graph structure is framed, the ternary list is formed on the basis of its adjacent nodes. The abnormalities in the nodes are detected by introducing a new optimization concept referred to as biogeography optimization with fitness sorted update (BO-FBU), which is the extended version of the standard biogeography optimization algorithm (BBO). The abnormal behavior in the network is identified by the similarities among the derived rule features. Further, the performance of the proposed model is compared to the other classical models in terms of certain performance measures. These techniques will be useful to detect digital crime and forensics.


2021 ◽  
Vol 12 (1) ◽  
pp. 30-48
Author(s):  
Yang Lei ◽  
Ying Jiang

Due to the services diversity and dynamic deployment, the anomalies will occur on nodes under cloud computing environment. If a single node generates an anomaly, the associated nodes are affected by the abnormal node, which will result in anomaly propagation and nodes failure. In this paper, a method of anomaly detection for nodes under the cloud computing environment is proposed. Firstly, the node monitoring model is established by the agents deployed on each node. Secondly, the comprehensive score is used to identify abnormal data. The anomaly of the single node is judged by the time window-based method. Then, the status of directly associated nodes is detected through normalized mutual information and the status of indirectly associated nodes is detected through the node attributes in the case of a single node anomaly. Finally, other associated nodes affected by the abnormal node are detected. The experimental results showed that the method in this paper can detect the anomalies of single node and associated node under the cloud computing environment effectively.


2020 ◽  
Vol 185 ◽  
pp. 01090
Author(s):  
Weiguo Zeng ◽  
Xiaofeng Dang ◽  
Shuhua Li ◽  
Hongmei Wang ◽  
Hao Wang ◽  
...  

This study examined natural gas pipeline by the non-contact magnetic corresponding. To confirm the reliability for the examination of natural gas pipelines by non-contact magnetic corresponding, three abnormal nodes were detected by the appearance inspection and ultrasonic testing. The results suggested that the grade of abnormal nodes by non-contact magnetic corresponding were not absolutely agree with that of the corrosion by ultrasonic testing. However, there was an obvious relevance between the comprehensive index of F by non-contact magnetic corresponding and the maximum degree of corrosion by ultrasonic testing. To sum up, the magnetic corresponding was an effective non-contact detection technology for the natural gas pipeline, while it was necessary to rationally grade the abnormal node according to the comprehensive index of F.


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