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INTRODUCTION OF A NOVEL ANOMALOUS SOUND DETECTION METHODOLOGYIJCI JOURNAL
This paper is to introduce a novel semi-supervised methodology, the enhanced incremental principal
component analysis (“IPCA”) based deep convolutional neural network autoencoder (“DCNN-AE) for
Anomalous Sound Detection (“ASD”) with high accuracy and computing efficiency. This hybrid
methodology is to adopt Enhanced IPCA to reduce the dimensionality and then to use DCNN-AE to extract
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100 sets of anomaly sounds of same machine are used for the experiments. And the sound files of machines
(stepper motors) for the experiments are collected from a plant site. 50 random test cases are executed to
evaluate the performance of the algorithm with AUC, PAUC, F measure and Accuracy Score. IPCA Based
DCNN-AE shows high accuracy with the average AUC of 0.815793282, comparing with that of Kmeans++
of 0.499545351, of Incremental PCA based DBSCAN clustering of 0.636348073, of Incremental based
PCA based One-class SVM of 0.506749433 and of DCGAN of 0.716528104. From the perspective of
computing efficiency, because of the dimensions-reduction by the IPCA layer, the average execution time
of the new methodology is 15 minutes in the CPU computing module of 2.3 GHz quad-core processors,
comparing with that of DCGAN with 90 minutes in GPU computing module of 4 to 8 kernels.
INTRODUCTION OF A NOVEL ANOMALOUS SOUND DETECTION METHODOLOGYijsc
This paper is to introduce a novel semi-supervised methodology, the enhanced incremental principal
component analysis (“IPCA”) based deep convolutional neural network autoencoder (“DCNN-AE) for
Anomalous Sound Detection (“ASD”) with high accuracy and computing efficiency. This hybrid
methodology is to adopt Enhanced IPCA to reduce the dimensionality and then to use DCNN-AE to extract
the features of the sample sound and detect the anomality. In this project, 228 sets of normal sounds and
100 sets of anomaly sounds of same machine are used for the experiments. And the sound files of machines
(stepper motors) for the experiments are collected from a plant site. 50 random test cases are executed to
evaluate the performance of the algorithm with AUC, PAUC, F measure and Accuracy Score. IPCA Based
DCNN-AE shows high accuracy with the average AUC of 0.815793282, comparing with that of Kmeans++
of 0.499545351, of Incremental PCA based DBSCAN clustering of 0.636348073, of Incremental based
PCA based One-class SVM of 0.506749433 and of DCGAN of 0.716528104. From the perspective of
computing efficiency, because of the dimensions-reduction by the IPCA layer, the average execution time
of the new methodology is 15 minutes in the CPU computing module of 2.3 GHz quad-core processors,
comparing with that of DCGAN with 90 minutes in GPU computing module of 4 to 8 kernels.
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INTRODUCTION OF A NOVEL ANOMALOUS SOUND DETECTION METHODOLOGYijsc
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Anomalous Sound Detection (“ASD”) with high accuracy and computing efficiency. This hybrid
methodology is to adopt Enhanced IPCA to reduce the dimensionality and then to use DCNN-AE to extract
the features of the sample sound and detect the anomality. In this project, 228 sets of normal sounds and
100 sets of anomaly sounds of same machine are used for the experiments. And the sound files of machines
(stepper motors) for the experiments are collected from a plant site. 50 random test cases are executed to
evaluate the performance of the algorithm with AUC, PAUC, F measure and Accuracy Score. IPCA Based
DCNN-AE shows high accuracy with the average AUC of 0.815793282, comparing with that of Kmeans++
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PCA based One-class SVM of 0.506749433 and of DCGAN of 0.716528104. From the perspective of
computing efficiency, because of the dimensions-reduction by the IPCA layer, the average execution time
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2. OverviewOverview
What is Data Recovery?What is Data Recovery?
How can it be used?How can it be used?
TechniquesTechniques
Recovery MethodsRecovery Methods
Secure DeletionSecure Deletion
Private vs. Government servicesPrivate vs. Government services
Software vs. Hardware SolutionsSoftware vs. Hardware Solutions
What can you do?What can you do?
3. What is data recovery?What is data recovery?
Retrieving deleted/inaccessible data from electronicRetrieving deleted/inaccessible data from electronic
storage media (hard drives, removable media, opticalstorage media (hard drives, removable media, optical
devices, etc...)devices, etc...)
Typical causes of loss include:Typical causes of loss include:
Electro-mechanical FailureElectro-mechanical Failure
Natural DisasterNatural Disaster
Computer VirusComputer Virus
Data CorruptionData Corruption
Computer CrimeComputer Crime
Human ErrorHuman Error
ExampleExample
How to avoid data loss on Android phone and How to retrieve lostHow to avoid data loss on Android phone and How to retrieve lost
Android dataAndroid data
4. Uses of data recoveryUses of data recovery
Average User:Average User:
Recover important lost filesRecover important lost files
Keep your private information privateKeep your private information private
Law enforcement:Law enforcement:
Locate illegal dataLocate illegal data
Restore deleted/overwritten information.Restore deleted/overwritten information.
Prosecute criminals based on discovered dataProsecute criminals based on discovered data
5. Software Recovery of dataSoftware Recovery of data
Generally only restore data not yetGenerally only restore data not yet
overwritten.overwritten.
Do not work on physically damaged drivesDo not work on physically damaged drives
Prices range from Free-1000Prices range from Free-1000
http://www.hdatarecovery.com/data-recovery-software-http://www.hdatarecovery.com/data-recovery-software-
download/download/
6. Recovery MethodsRecovery Methods
Hidden filesHidden files
Recycle binRecycle bin
Unerase wizardsUnerase wizards
Assorted commercial programsAssorted commercial programs
FerrofluidFerrofluid
Coat surface of diskCoat surface of disk
Check with optical microscopeCheck with optical microscope
Does not work for more recent hard drivesDoes not work for more recent hard drives
More recently…More recently…
7. How to Avoid Data RecoveryHow to Avoid Data Recovery
Companies, agencies, or individuals mayCompanies, agencies, or individuals may
want to ensure their data cannot bewant to ensure their data cannot be
recovered.recovered.
Simple deletion is not good enough.Simple deletion is not good enough.
Faced with techniques such as MFM, trulyFaced with techniques such as MFM, truly
deleting data from magnetic media is verydeleting data from magnetic media is very
difficultdifficult
8. Secure Deletion: GovernmentSecure Deletion: Government
StandardsStandards
Department of Justice:Department of Justice:
DoD 5220.22-M – Type 1 degausser, followed by typeDoD 5220.22-M – Type 1 degausser, followed by type
2 degausser, then three data overwrites (character,2 degausser, then three data overwrites (character,
its complement, random)its complement, random)
Problems with government standardsProblems with government standards
Often old and predate newer techniques for bothOften old and predate newer techniques for both
recording and recovering data.recording and recovering data.
Predate higher recording densities of modern drives,Predate higher recording densities of modern drives,
the adoption of sophisticated channel codingthe adoption of sophisticated channel coding
techniques, and the use of MFM.techniques, and the use of MFM.
Government standard may in fact be understated toGovernment standard may in fact be understated to
fool opposing intelligence agencies.fool opposing intelligence agencies.
9. Secure Deletion TechniquesSecure Deletion Techniques
DegaussingDegaussing
Process in which the media is returned to its initial stateProcess in which the media is returned to its initial state
Coercivity – Amount of magnetic field necessary to reduce theCoercivity – Amount of magnetic field necessary to reduce the
magnetic induction to zero. (measured in Oersteds)magnetic induction to zero. (measured in Oersteds)
Effectively erasing a medium to the extent that data recovery isEffectively erasing a medium to the extent that data recovery is
uneconomical requires a magnetic force ~5x the coercivity.uneconomical requires a magnetic force ~5x the coercivity.
US Government guidelines on media coercivity:US Government guidelines on media coercivity:
Class 1: 350 Oe coercivity or lessClass 1: 350 Oe coercivity or less
Class 2: 350-750 Oe coercivity.Class 2: 350-750 Oe coercivity.
Class 3: over 750 Oe coercivityClass 3: over 750 Oe coercivity
Degaussers are available for classes 1 and 2. None known forDegaussers are available for classes 1 and 2. None known for
fullyfully degaussing class 3 media.degaussing class 3 media.
10. Deletion TechniquesDeletion Techniques
Technique 2: Multiple OverwritesTechnique 2: Multiple Overwrites
Use an overwrite schemeUse an overwrite scheme
Flip each magnetic domain on the disk back and forthFlip each magnetic domain on the disk back and forth
as much as possibleas much as possible
Overwrite in alternating patterns to expose it to anOverwrite in alternating patterns to expose it to an
oscillating magnetic field.oscillating magnetic field.
Overwrite with “junk” data several timesOverwrite with “junk” data several times
Use the lowest frequency possible for overwritesUse the lowest frequency possible for overwrites
Penetrates deeper into the recording mediumPenetrates deeper into the recording medium
11. Deletion TechniquesDeletion Techniques
Peter Guttman’s overwrite scheme:Peter Guttman’s overwrite scheme:
Meant to defeat all possible recoveryMeant to defeat all possible recovery
techniques (MFM, etc)techniques (MFM, etc)
Specifies 35 different overwritesSpecifies 35 different overwrites
Not all overwrites are needed if targetingNot all overwrites are needed if targeting
specific recovery method (i.e. MFM)specific recovery method (i.e. MFM)
13. Deletion TechniquesDeletion Techniques
Extremely Extreme Physical DestructionExtremely Extreme Physical Destruction
ChainsawsChainsaws
Sledge hammersSledge hammers
Drop in a volcanoDrop in a volcano
Place on apex of a nuclear warheadPlace on apex of a nuclear warhead
Multiple rounds from a high caliber firearmMultiple rounds from a high caliber firearm
Hard Drivers are tougher than you thinkHard Drivers are tougher than you think
14. What can you do?What can you do?
To reliably remove files?To reliably remove files?
Not Much - absolutely secure is veryNot Much - absolutely secure is very
difficult given methods out todaydifficult given methods out today
Make it impractical or extremely expensiveMake it impractical or extremely expensive
to recoverto recover