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Automatic Invariant Selection for Online Anomaly Detection [chapter]

Leonardo Aniello, Claudio Ciccotelli, Marcello Cinque, Flavio Frattini, Leonardo Querzoni, Stefano Russo
<span title="">2016</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
The resulting "background noise" for the invariant-based detection system hinders its effectiveness.  ...  Invariants are stable relationships among system metrics expected to hold during normal operating conditions. The violation of such relationships can be used to detect anomalies at runtime.  ...  In [6] automatically mined invariants are used for online anomaly detection in a cloud-based processing system. Invariants can be classified [7] in control-flow, execution-flow, and valuebased.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-45477-1_14">doi:10.1007/978-3-319-45477-1_14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gu2m56n4xnbr3iztxfqiifl7x4">fatcat:gu2m56n4xnbr3iztxfqiifl7x4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200310004003/https://iris.uniroma1.it/retrieve/handle/11573/886496/264355/Aniello_Postprint_Automatic_2016.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/27/04/27048a13ec160e5679ac7cd965242fd0343089c9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-45477-1_14"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Cross-domain traffic scene understanding by motion model transfer

Xun Xu, Shaogang Gong, Timothy Hospedales
<span title="">2013</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/lahlxihmo5fhzpexw7rundu24u" style="color: black;">Proceedings of the 4th ACM/IEEE international workshop on Analysis and retrieval of tracked events and motion in imagery stream - ARTEMIS &#39;13</a> </i> &nbsp;
This framework is capable of online "sparse-shot" anomaly detection and motion event classification in the unseen target domain, without the need for extensive data collection, labelling and offline model  ...  Extensive experiments show the effectiveness of the proposed framework for cross-domain motion event classification, anomaly detection and scene association.  ...  (a) PC1 (LC2 selected) (b) LC2 (PC1 selected) (c) PC3 (LC4 selected) (d) LC4 (PC3 selected) Source Selection for Anomaly Detection: Anomaly detection performance is shown in Figure 4 , fourth column.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2510650.2510657">doi:10.1145/2510650.2510657</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/mm/XuGH13.html">dblp:conf/mm/XuGH13</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jklhlcumevgcvgl6lo22sam5hm">fatcat:jklhlcumevgcvgl6lo22sam5hm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170705144142/http://www.eecs.qmul.ac.uk/~sgg/papers/XuEtAl_ARTEMIS2013.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a7/bc/a7bc25e2d2a6b4a1f102cf242b08371955112b0b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2510650.2510657"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

A Survey on Automatic Fault Detection Framework for Cloud based Application

<span title="2015-11-05">2015</span> <i title="International Journal of Science and Research"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/odv46yibm5gf7evzoopmrrqr3q" style="color: black;">International Journal of Science and Research (IJSR)</a> </i> &nbsp;
For addressing these issues, this paper proposes an automatic failure detection framework for the cloud based applications.  ...  Cloud computing becoming an emerging and important platform for web service applications. In modern era Cloud Computing has its own challenges.  ...  For addressing such issues, we propose a Fault Diagnosis Framework for Web Applications in cloud Environment, which automatically detect faults and locate their root causes.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21275/v4i11.nov151314">doi:10.21275/v4i11.nov151314</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kgc53jlkhrb2niaasibwkccjrm">fatcat:kgc53jlkhrb2niaasibwkccjrm</a> </span>
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Mining Techniques For Invariants In Cloud Computing

Sadhika K
<span title="2019-05-30">2019</span> <i title="IOR Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4ljvzsjwmfhtxfxfygy5tgltsi" style="color: black;">International Journal of Computer Communication and Informatics</a> </i> &nbsp;
In this work two real-world datasets have been used - the publicly available Google datacenter dataset and a dataset of a commercial SaaS utility computing platform - for detecting the anomalies.  ...  We assess the techniques in two invariants' applications, namely executions characterization and anomaly detection, using the metrics of coverage, recall and precision.  ...  Fig. 3 . 3 3.1 An overview of dynamic invariant detection Fig. 3 . 3 4 Input, output, and main components of the implemented tool for mining invariants and online detecting anomalies.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.34256/ijcci1916">doi:10.34256/ijcci1916</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3fcqn5uibreahgyznxe5dqfl5q">fatcat:3fcqn5uibreahgyznxe5dqfl5q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200529034552/https://sietjournals.com/index.php/ijcci/article/download/35/26" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/8f/a2/8fa2a88ac28baf3d6a648a535838c788be07927e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.34256/ijcci1916"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Enabling automatic adaptation in systems with under-specified elements

Orna Raz, Philip Koopman, Mary Shaw
<span title="">2002</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/g7c2ai7465el5mak6jwgrz4miy" style="color: black;">Proceedings of the first workshop on Self-healing systems - WOSS &#39;02</a> </i> &nbsp;
Many adaptation techniques require specifications of proper behavior (for detecting improper behavior) and problem severity, alternatives and their selection (for mitigation and for repair).  ...  Setting up anomaly detection depends on human participation, yielding predicates that can serve as proxies for missing specifications.  ...  This model can then be used to detect anomalies-a critical first step in automatic repair. We present an example of a data feed and existing techniques we use for invariant inference.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/582128.582139">doi:10.1145/582128.582139</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/woss/RazKS02.html">dblp:conf/woss/RazKS02</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/a2mry7pk4bdohlapoaa3ccuwze">fatcat:a2mry7pk4bdohlapoaa3ccuwze</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20060909081055/http://www.ece.cmu.edu/~koopman/se/woss02.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/06/93/0693d74012eec246400a1cea0ed157849ed1c87c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/582128.582139"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Enabling automatic adaptation in systems with under-specified elements

Orna Raz, Philip Koopman, Mary Shaw
<span title="">2002</span> <i title="ACM Press"> Proceedings of the first workshop on Self-healing systems - WOSS &#39;02 </i> &nbsp;
Many adaptation techniques require specifications of proper behavior (for detecting improper behavior) and problem severity, alternatives and their selection (for mitigation and for repair).  ...  Setting up anomaly detection depends on human participation, yielding predicates that can serve as proxies for missing specifications.  ...  This model can then be used to detect anomalies-a critical first step in automatic repair. We present an example of a data feed and existing techniques we use for invariant inference.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/582129.582139">doi:10.1145/582129.582139</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vy7jihiu7rftxjvaafvvjtwcte">fatcat:vy7jihiu7rftxjvaafvvjtwcte</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20060909081055/http://www.ece.cmu.edu/~koopman/se/woss02.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/06/93/0693d74012eec246400a1cea0ed157849ed1c87c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/582129.582139"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Fault detection for cloud computing systems with correlation analysis

Tao Wang, Wenbo Zhang, Jun Wei, Hua Zhong
<span title="">2015</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5epkbpsj6fglfagfpxolfrllsi" style="color: black;">2015 IFIP/IEEE International Symposium on Integrated Network Management (IM)</a> </i> &nbsp;
Our method detects anomalies by discovering the abrupt change of correlation coefficients with a EWMA control chart, and then locates suspicious metrics using a feature selection method combining ReliefF  ...  This paper addresses these issues and proposes an automatic fault diagnosis method for Web applications in cloud computing.  ...  Metric correlation based methods characterize the hidden invariant relationships among system metrics, and the anomalies are detected when the relationships are broken.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/inm.2015.7140351">doi:10.1109/inm.2015.7140351</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/im/WangZWZ15.html">dblp:conf/im/WangZWZ15</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dtqzi36tq5bnzijmnyzvr4xmem">fatcat:dtqzi36tq5bnzijmnyzvr4xmem</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20150922175339/http://dl.ifip.org/db/conf/im/im2015m/134446.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/2e/0a/2e0af57817b844014cc694bd441bf5f8947d3e00.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/inm.2015.7140351"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Conformal and probabilistic prediction with applications: editorial

Alexander Gammerman, Vladimir Vovk, Henrik Boström, Lars Carlsson
<span title="2018-08-28">2018</span> <i title="Springer Nature America, Inc"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/h4nnd7sxwzcwhetu5qkjbcdh6u" style="color: black;">Machine Learning</a> </i> &nbsp;
These methods have been extended to such settings as semi-supervised learning, anomaly detection, feature selection, outlier detection, change detection in streams, and active learning.  ...  An ongoing EU Horizon 2020 project on drug design has adopted conformal predictors as one of the main tools for selecting useful chemical compounds.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10994-018-5761-x">doi:10.1007/s10994-018-5761-x</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/oioe2rgcrrh4nnvcjleatbhepi">fatcat:oioe2rgcrrh4nnvcjleatbhepi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190504015557/https://link.springer.com/content/pdf/10.1007%2Fs10994-018-5761-x.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e1/3a/e13a936225dd00f931afd3b0eacac2f777663474.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10994-018-5761-x"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

ELT: Efficient Log-based Troubleshooting System for Cloud Computing Infrastructures

Kamal Kc, Xiaohui Gu
<span title="">2011</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vb3ehoarofgm5p24f2dqjxmp3a" style="color: black;">2011 IEEE 30th International Symposium on Reliable Distributed Systems</a> </i> &nbsp;
Moreover, ELT can automatically extract key log messages and perform invariant checking to greatly simplify the troubleshooting task for the system administrator.  ...  More importantly, ELT can find software bugs that cannot be detected by current cloud system management practice.  ...  We also thank Brent Miller from IBM for many useful discussions. We would also like to thank our shepherd Miroslaw Malek for his guidance.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/srds.2011.11">doi:10.1109/srds.2011.11</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/srds/KcG11.html">dblp:conf/srds/KcG11</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hdkmo5vnvjgntm4y6cmbpf76lq">fatcat:hdkmo5vnvjgntm4y6cmbpf76lq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20150423225335/http://dance.csc.ncsu.edu/papers/srds11.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/52/84/5284f528443fb9315292ea7039e9aa7a615b5795.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/srds.2011.11"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Automatic Detection of Violent Incidents from Video Footage of CCTV Cameras

Baswaraju Swathi, B L Deepika Chowdary, K Sai Sindhu, Ashika P
<span title="2020-05-25">2020</span> <i title="Technoscience Academy"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cwo66igunvdiplkdqwpqsgzpem" style="color: black;">International Journal of Scientific Research in Computer Science Engineering and Information Technology</a> </i> &nbsp;
Computer vision has evolved in the last decade as a key technology for numerous applications replacing human supervision. We present an e?cient method for detecting anomalies in videos.  ...  This paper focuses on anomaly detection and activity recognition of humans in the videos.  ...  The proposed anomaly and activities recognition system automatically detects anomaly events and notifies with a tag.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.32628/cseit206355">doi:10.32628/cseit206355</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dlmqvhzeezeqxh3i6rgpse7ue4">fatcat:dlmqvhzeezeqxh3i6rgpse7ue4</a> </span>
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Anomaly Detection of Trackside Equipment based on GPS and Image Matching

Limin Gao, Yunyang Jiu, Xiang Wei, Zhongchuan Wang, Weiwei Xing
<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
In order to automate the task, this paper addresses the problem of automatically and accurately detecting anomalies of equipment located along the track through GPS and image calibration techniques.  ...  Experimental results demonstrate the efficiency and effectiveness of our proposed method for anomalies detection of trackside equipment.  ...  The Harris-Affine detector automatically detects image features under affine changes, as well as affine invariance.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.2966783">doi:10.1109/access.2020.2966783</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lksfyie3ercodfrmupw3d7p4ny">fatcat:lksfyie3ercodfrmupw3d7p4ny</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201108112731/https://ieeexplore.ieee.org/ielx7/6287639/8948470/08960287.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/8e/ff/8effa19a446abbc045deae684895ac5f0258d2a2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.2966783"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

Toward Practical Crowdsourcing-Based Road Anomaly Detection with Scale-Invariant Feature

Yuanyi Chen, Mingxuan Zhou, Zengwei Zheng, Meimei Huo
<span title="">2019</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
Traditional ways for road anomaly detection are either thresholdbased detection techniques or feature-based detection techniques.  ...  In this phase, we observe the differences among road anomaly classes are attributed to small local segments, then we learn scale-invariant features from these small local segments for road anomaly detection  ...  Therefore, we need to design a segmentation method for automatically generating road anomaly samples for anomaly detection; 3) Existing methods focus on extracting statistical or frequency feature from  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2019.2918754">doi:10.1109/access.2019.2918754</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rlb25zch2zhdjme3bafh6iyhom">fatcat:rlb25zch2zhdjme3bafh6iyhom</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210427094210/https://ieeexplore.ieee.org/ielx7/6287639/8600701/08721045.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/4a/6f/4a6fc2364978ff929125930c1312fd0f392ad055.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2019.2918754"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

Anomalies Detection in Software by Conceptual Learning from Normal Executions

Ahmad Qadeib Alban, Fahad Islam, Qutaibah Malluhi, Ali Jaoua
<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
Could we detect anomalies during the run-time of a program by learning from the analysis of its previous traces for normally completed executions?  ...  This set of patterns becomes a reference for checking the normality of future program executions as it captures invariant functional dependencies between the variables that need to be preserved during  ...  . , the number of program invariants for large scale software is usually large, making it unfeasible to monitor all invariants online. Thus, an effective selection of invariants is essential.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3027508">doi:10.1109/access.2020.3027508</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6c6yw5hi7jfrlerfixzqy5eghy">fatcat:6c6yw5hi7jfrlerfixzqy5eghy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200930130411/https://ieeexplore.ieee.org/ielx7/6287639/6514899/09208675.pdf?tp=&amp;arnumber=9208675&amp;isnumber=6514899&amp;ref=" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/df/d2/dfd29f5bc327e61511f2a99a35624ce54e773e51.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3027508"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

ACIDRain

Todd Warszawski, Peter Bailis
<span title="">2017</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vxrc3vebzzachiwy3nopwi3h5u" style="color: black;">Proceedings of the 2017 ACM International Conference on Management of Data - SIGMOD &#39;17</a> </i> &nbsp;
We introduce a language-agnostic method for detecting potential isolation anomalies in web applications, called Abstract Anomaly Detection (2AD), that uses dynamic traces of database accesses to efficiently  ...  To proactively detect the potential for ACIDRain attacks, we extend the theory of weak isolation to analyze latent potential for non-serializable behavior under concurrent web API calls.  ...  Acknowledgements We thank the many members of the Stanford InfoLab as well as Ali Ghodsi and Martin Rinard for their valuable feedback on this work.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3035918.3064037">doi:10.1145/3035918.3064037</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/sigmod/WarszawskiB17.html">dblp:conf/sigmod/WarszawskiB17</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/q46wx6j54bg4xlhzvzb35iarnu">fatcat:q46wx6j54bg4xlhzvzb35iarnu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190218103632/https://static.aminer.org/pdf/20170130/pdfs/sigmod/aw7mzkroxdfsqbiab0mhpkt4zoepg3cd.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e7/06/e706157e16d0e6de00edb2e43d379a7926dbbf11.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3035918.3064037"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

An Efficient Automatic Gait Anomaly Detection Method Based on Semisupervised Clustering

Zhenlun Yang, Amparo Alonso-Betanzos
<span title="2021-02-15">2021</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3wwzxqpotbc73bzpemzybzg7ee" style="color: black;">Computational Intelligence and Neuroscience</a> </i> &nbsp;
Therefore, the proposed method can provide fast and simple deployment for various anomaly gait detection application scenarios.  ...  As long as the silhouette gait images of the subjects are obtainable, the proposed method is capable of providing online anomaly gait detection result without additional work on analyzing the gait features  ...  For the incremental online anomaly gait detection scenario, M is increased when more individuals are involved.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2021/8840156">doi:10.1155/2021/8840156</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33643407">pmid:33643407</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7902142/">pmcid:PMC7902142</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sexujn43o5d4bo4lti5qwwcfr4">fatcat:sexujn43o5d4bo4lti5qwwcfr4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210427213730/https://downloads.hindawi.com/journals/cin/2021/8840156.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a2/4e/a24ec0079e85732886c8664c9788b9a83008f718.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2021/8840156"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7902142" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>
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