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of a given attack, are useful for detecting events of the attack Such data variables are identi ed for each of the eleven attacks in s 8 11 A feature is a easure of a property which exists in a sample of data observations for one or multiple data variables Only univariate mathematical/statistical features features of a data sample from one data variable are investigated in Part III These univariate mathematical/ statistical features include the statistical mean in 8, the probability distribution in 9, the autocorrelation in 10, and the wavelet-based signal strength in 11 covering the Haar wavelet, the Daubechies wavelet, the Derivative of Gaussian wavelet, the Paul wavelet and the Morlet wavelet These wavelets are used to extract the time-frequency signal changes associated with the data patterns of step change, steady change, random change, spike change and sine-cosine wave with noise s 8 11 provide mathematical/statistical methods of extracting the mean, probability distribution, autocorrelation, and wavelet features from attack and normal use data Among the four features, the distribution feature gives a more comprehensive picture of a data sample than the mean feature Both the wavelet feature and the autocorrelation feature reveal relations of data observations over time The autocorrelation feature focuses on the general autocorrelation aspect of time series data, whereas the wavelet feature focuses on special forms of time-frequency data patterns Both various wavelet forms and various probability distributions are linked to certain data patterns The distribution feature describes the general pattern of the data, whereas the wavelet feature reveals time locations and frequencies of special data patterns Hence, the wavelet feature reveals more special data features than the distribution feature and the autocorrelation feature Note that there are other types of univariate features (eg, features extracting other trends or patterns of data) as well as multivariate features (ie, features of data from multiple data variables) which are not investigated in Part III but may be useful in revealing data characteristics of various attacks If one or more events of a given attack cause a signi cant change in a speci c feature of a data variable, this change is considered a data characteristic of the attack s 8 11 describe statistical tests to identify a signi cant change in a given data feature, and reveal data characteristics of eleven attacks in the mean, probability distribution, autocorrelation, and wavelet features If a speci c data characteristic appears during a given attack but not during other attacks or normal use activities, this data characteristic is considered a unique data characteristic of that attack and can be used to uniquely detect and identify this attack Note that an event may manifest through more than one data characteristic (eg, more than one data variable or more than one feature of a data variable) The identi ed attack characteristics in the mean, distribution, autocorrelation and wavelet features are used to uncover the similarity and difference of the attacks The data characteristics of attack and normal use activities discovered in Part III are essential to building attack detection models for detection accuracy and earliness Attack detection models are covered in Parts IV VI. asp.net mvc barcode generator Barcode Generator - CodeProject 10 Jan 2016 ... 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Figure 1-12 shows the prompt screen that appears.Related: The LeaseRenewalManager class (belonging to the package netjinilease) encapsulates functionality that provides or the systematic renewal and overall management of a set of leases associated with one or more remote entities on behalf of a local entity The concept of leased resources is fundamental to the Jini technology programming model Providing a leasing mechanism helps to prevent the accumulation of outdated and unwanted resources in time based distributed systems, such as the Jini technology infrastructure The leasing model for Jini network technology (Jini technology), defined in The Jini Technology Core Platform Specification, "Leasing and Distributed Systems", requires renewed proof of interest to continue the existence of a leased resource Thus, any Jini technology enabled client (Jini client) or Jini technology enabled service (Jini service) that requests the use of the leased resources provided by another Jini service may be granted access to those resources for a negotiated period of time, and must continue to request renewal of the lease on each resource for as long as the client or service wishes to have access to the resource For example, the Jini lookup service leases two resources: residency in its database and registration with its event notification mechanism Thus, if a service that is registered with a Jini lookup service wishes to continue its residency beyond the length of the current lease, the service must request a lease renewal from that lookup service This renewal process must be repeated for as long as the service wishes to maintain its residency in the lookup service Similarly, if a client has requested that a lookup service notify it of events of interest, then prior to the expiration of the lease on the event registration, the client must request that the lookup service continue to send such events As with residency in the lookup service, these renewal requests must be repeated for as long as the client wishes to receive event notifications Another example of a Jini service providing leased resources would be a service that implements The Jini Technology Core Platform Specification, "Transaction" to manage transactions on behalf of registered participants That specification requires that a transaction must be a leased resource Therefore, any entity that creates such a transaction object is required to negotiate (with an entity referred to as a transaction manager) a lease on that object, repeatedly requesting lease renewals prior to the lease's expiration, for as long as the transaction is to remain in effect The LeaseRenewalManager class is designed to be a simple mechanism that provides for the systematic renewal and overall management of leases granted on resources that are provided by Jini services and for which a Jini client or service has registered interest The LeaseRenewalManager is a utility class, not a remote service In order to use this utility, an entity must create, in its own address space, an instance of the LeaseRenewalManager to manage the entity's leases locally LM21 Other Types The types defined in the specification of the LeaseRenewalManager utility class are in the netjinilease package The following types may be referenced in this specification Whenever referenced, these types will be referenced in unqualified form:. 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