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Detecting Hidden Leakages [chapter]

Amir Moradi, Sylvain Guilley, Annelie Heuser
2014 Lecture Notes in Computer Science  
Our analyses which focus on exploiting the first-order leakage of the implementation discover a couple of potential attacks which can recover the secret key.  ...  Indeed the leakage we exploit is due to a design mistake as well as the characteristics of the implementation platform, none of which has been considered during the design of the countermeasure (implemented  ...  Interestingly, the "investment" of 100 000 traces required for the leakage detection (recall Fig. 2 ) allows a considerable speed-up in the leakage exploitation.  ... 
doi:10.1007/978-3-319-07536-5_20 fatcat:uy54lvloljg4pnptxj3cpxprsy

A Hybrid Hidden Markov Model for Pipeline Leakage Detection

Mingchi Zhang, Xuemin Chen, Wei Li
2021 Applied Sciences  
In this paper, a deep neural network hidden Markov model (DNN-HMM) is proposed to detect pipeline leakage location.  ...  A long pipeline is divided into several sections and the leakage occurs in different section that is defined as different state of hidden Markov model (HMM).  ...  Acknowledgments: Thanks to Smart Materials and Structures Laboratory at the University of Houston for providing the pipeline leakage experimental data.  ... 
doi:10.3390/app11073138 fatcat:7bzkrqfqunfvtdyihg4aw3gxna

IOT AND NEURAL NETWORK BASED MULTI REGION AND SIMULTANEOUS LEAKAGE DETECTION IN PIPELINES

PRADYOT ARAMANE, AKSHAY BHATTAD, MADHWESH M, NISHANT AITHAL, AKSHAY P, PRAPULLA S.B, SHOBA G
2019 INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ENGINEERING & TECHNOLOGY  
They are a flexible and efficient approach to detection of leakages in water distribution networks.  ...  They do not any have basic flaws unlike alternate methods like leakage detection using acoustic sensors which cannot differentiate between spikes in flow and leakage.  ...  The leakage detection model is capable of detecting both single and multiple regions of leakage with good accuracy.  ... 
doi:10.34218/ijaret.10.6.2019.008 fatcat:uwlewvne4rbp7ciioufzwvkgem

Valve Internal Leakage Rate Quantification Based on Factor Analysis and Wavelet-BP Neural Network Using Acoustic Emission

Hanxue Zhao, Zhenlin Li, Shenbin Zhu, Ying Yu
2020 Applied Sciences  
The timely detection of valve internal leakage is of great significance to the safe operation of pipelines.  ...  Then, the dimensionality reduction technology based on factor analysis was introduced to the processing of valve internal leakage detection data.  ...  Figure 3 . 3 Experimental platform for detection valve internal leakage in the gas pipeline. Figure 3 . 3 Experimental platform for detection valve internal leakage in the gas pipeline.  ... 
doi:10.3390/app10165544 fatcat:hznjq62zqfakngq72skngddfce

Leak Detection in Pipe Networks Using Hybrid ANN Method

Uttam Roy
2017 Water Conservation Science and Engineering  
His work proposed a low-cost and real-time leakage detection system for underground pipelines.  ...  By this approach, fault detection can be done with accuracy and less time but without prediction of leak size [14] .There are abundant methods for leakage detection.  ... 
doi:10.1007/s41101-017-0035-1 fatcat:gyhqkrwwnvhctcwhfn65wrbbge

Hidden Markov Models for Pipeline Damage Detection Using Piezoelectric Transducers [article]

Mingchi Zhang, Xuemin Chen, Wei Li
2020 arXiv   pre-print
Leakages in different sections or crack depths are considered as different states in hidden Markov models (HMM).  ...  In this paper, a Gaussian mixture model based hidden Markov model (GMM-HMM) method is proposed to detect the pipeline leakage and crack depth in changing environment and time-varying operational conditions  ...  Acknowledgments Thanks to Smart Materials and Structures Laboratory at the University of Houston for providing the pipeline leakage experimental data.  ... 
arXiv:2009.14589v1 fatcat:z5xtbdoamzhkroggekfv4pyhjm

On non‐destructive detection of hidden passive radio‐frequency eavesdroppers

Q. Y. Zhang, M. L. Liang
2021 Electronics Letters  
As a non-destructive testing approach, the proposed method exhibits a robust and easy way to detect hidden eavesdroppers.  ...  This paper investigates the possibility of detecting the presence of hidden radio-frequency eavesdroppers embedded in modern electronic devices.  ...  Unlike conventional LO leakage detecting techniques, the proposed detection scheme relies on the scattering characteristics of the eavesdropping antenna.  ... 
doi:10.1049/ell2.12179 fatcat:ov5rhlx33zdmfhwakyvlow4jji

A machine learning approach for underwater gas leakage detection [article]

Paulo Hubert, Linilson Padovese
2019 arXiv   pre-print
We also propose a smoothing strategy based on Hidden Markov Models in order to incorporate previous knowledge about the probabilities of leakage occurrences.  ...  The early detection of such leaks is therefore tantamount to any underwater CCS project.  ...  Hidden Markov model for the occurrence of leakages Consider that the presence or absence of a leakage is a hidden binary variable which we want to infer.  ... 
arXiv:1904.05661v1 fatcat:ddnvlxvmf5g7dnn2mcw4x6k2hu

Early tube leak detection system for steam boiler at KEV power plant

Firas B. Ismail, Deshvin Singh, N. Maisurah, Abu Bakar B. Musa, S.A. Che Ghani, A. Alias, R. Mamat, Md. M. Rahman
2016 MATEC Web of Conferences  
The outcome from this study give us the best ANN model which eventually allows for early detection of boiler tube leakages, and forecast of a trip before the real shutdown.  ...  The results showed that the Neural Network (NN) with one hidden layers performed better than two hidden layer using feed-forward back-propagation network.  ...  Shahul [5] in a study on automatic detection and analysis of boiler tube leakage system, used BPNN algorithm.  ... 
doi:10.1051/matecconf/20167400006 fatcat:jixfcto56fbx7j7ut33vjtxqvu

Pipeline Leak Localization Based on FBG Hoop Strain Sensors Combined with BP Neural Network

Ziguang Jia, Liang Ren, Hongnan Li, Wei Sun
2018 Applied Sciences  
The RMS error can be as low as 1.01% when choosing appropriate hidden layer neurons.  ...  The results demonstrate the feasibility and robustness of the neural network for pipeline leakage localization.  ...  sensor for leakage detection.  ... 
doi:10.3390/app8020146 fatcat:ysiuzibxovcyxaewnic6pf3bqq

Internal Leakage Diagnosis of a Hydraulic Cylinder Based on Optimization DBN Using the CEEMDAN Technique

Peng Zhang, Xinyuan Chen, Li Qing
2021 Shock and Vibration  
Internal leakage diagnosis in a hydraulic cylinder is a key technique for the maintenance of hydraulic systems. However, it is difficult to diagnose the internal leakage under different low loads.  ...  This result validates the effectiveness and superiority of the proposed approach to realize internal leakage diagnoses under different low loads.  ...  Moreover, the detection of internal leakage is challenging due to the associated concealment.  ... 
doi:10.1155/2021/8856835 fatcat:pc4nqsekfneqbbxjct64smnqyi

Automatic Detection and Analysis of Boiler Tube Leakage System

S. ShahulHamid, D. Najumnissa Jamal, M. S. Murshitha Shajahan
2013 International Journal of Computer Applications  
The traditional method has many drawbacks in leakage detection.  ...  Detection of boiler tube leakage is a very important factor for power plant functioning, as approximately 60% of boiler outage is due to tube leakages.  ...  In [7] boiler leakage flows are detected by a mass-balance in a Bayesian network. Here the sensitivity of detection decreases the leakage probability.  ... 
doi:10.5120/14660-2933 fatcat:ayt2prlcpfhfrjnxomt6g5mqda

Two-level Diagnosis of Heating Pipe Network Leakage Based on Deep Belief Network

Qingwu Fan, Yiliang Guo, Shaoen Wu, Xudong Liu
2019 IEEE Access  
The second-level diagnostic model can detect the leak location of the leaky pipe with satisfactory results.  ...  Then, the first-level diagnostic model for the leakage of the heating pipe network is designed to diagnose the leaky pipe segment by using a deep belief network.  ...  The first-level diagnostic model detects the leakage pipe segment, and the second-level diagnostic model determines the leakage position.  ... 
doi:10.1109/access.2019.2960107 fatcat:wd2cetgrcnajzgkig5qbdffyua

Side-channel based watermarks for integrated circuits

Georg T. Becker, Markus Kasper, Amir Moradi, Christof Paar
2010 2010 IEEE International Symposium on Hardware-Oriented Security and Trust (HOST)  
The watermark is hidden below the noise floor of the side channel and is thus hidden from third parties.  ...  Furthermore, the proposed schemes can be implemented with very few gates and are thus even harder to detect and to remove.  ...  The later one has to be used carefully to ensure that the generated leakage is still hidden below the noise floor. B.  ... 
doi:10.1109/hst.2010.5513117 dblp:conf/host/BeckerKMP10 fatcat:3uisjcvxovauffxuowpnykbh6y

Analysis of Boiler Operational Variables Prior to Tube Leakage Fault by Artificial Intelligent System

Hussain H. Al-Kayiem, Firas B. I. Al-Naimi, Wan N. Bt Wan Amat, S. Karuppanan, Z. A. Abdul Karim, M. Ovinis, A. Tesfamichael Baheta
2014 MATEC Web of Conferences  
The results showed that the NN with two hidden layers performed better than one hidden layer using Levenberg-Maquardt training algorithm.  ...  The tube leakage is the worse among the common boiler faults, where the shutdown period lasts for around four to five days.  ...  In the study of approach to early boiler tube leak detection by [4] , the ANN models of flue gas humidity for steam leak detection are presented.  ... 
doi:10.1051/matecconf/20141305004 fatcat:3cyqgkki3vfb3ciees5fu4ie4m
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