discovering alternate data streams with tsk

... more reliable means of hiding malicious files Enter Alternate Data Streams or ADSs (you will also find information referring to them as NTFS Streams) Every NTFS file system is capable of creating ... Trang 1Alternate Data Streams – What’s Hiding in Your Windows NTFS? Expert Reference Series of White Papers Trang ... throughout this discussion: Keith Palmgren, Global Knowledge Instructor, CISSP, Security+, TICSA Alternate Data Streams – What’s Hiding in Your Windows NTFS? Trang 3• You can put an ADS behind another

Ngày tải lên: 10/12/2013, 17:15

... Microsoft Data Mining General Data Mining 581 581 582 583 584 584 585 586 586 586 Appendix A: Data Sets MovieClick Data Set Voting Records Data Set Wine Sales Foodmart College Plans Data Set 589 ... Services Execute DDL Task Data Mining Transformations Data Mining Model Training Destination Data Mining Query Transformation Example Data Flows Using Non-Predictive Data Mining Queries in an ... Control Flow Example Data Flow Transformations Viewers Exploring a Data Flow Example Working with SSIS in Data Mining Data Mining Tasks Data Mining Query Task 439 440 442 442 442 443 444 444 444 445

Ngày tải lên: 22/01/2014, 22:20

... online transaction processing (OLTP) databases and more than 70 data warehouses The first step is to pull the relevant data into a database or a data mart where the data analysis is applied For example, ... How do you know whether your data is ‘‘good’’or not? Data mining can analyze your data and pick out those items that don’t fit with the rest Credit card companies use data mining–driven anomaly ... enough and must be supplemented with additional data For example, the log data from the web servers contains only data about web behavior and little (if any) data about the customers You may

Ngày tải lên: 27/01/2014, 09:20

... structure with time granularities Then a complex event type derived from S is S with each variable associated with an event type, and a complex event matching S is S with each variable asso-ciated with ... problem of discovering sequential patterns over large databases of customer transactions is considered The proposed algorithms generate a data sequence for each customer from the database and ... intelligence area, a lot of work has been done for discovering patterns in sequence data (see, for example, [9], [11]) In the database context, where input data is usually much larger, the problem has

Ngày tải lên: 16/03/2014, 19:20

... and data model enrich-ments to deal with them We begin by ob-serving the well-known limitations of SQL in application domains which are important for data streams, such as sequence queries and data ... languages and data models to support efficiently continuous queries on stream data, and is based on the sound rationale that, since many applications will span traditional databases and data streams, ... seek nonblocking computations on one or more data streams These are discussed next Trang 107 Completeness on Data StreamsAccording to [13], ‘queries over streams run continu-ously over a period of

Ngày tải lên: 23/03/2014, 12:20

... sum-marize with a single number, but it is easy to ap-preciate in a graph Figures1and2show concept drift for several of our data streams The horizon-tal axis indexes the position in the data stream ... into training and test set However, in order to avoid developing on the test data, we split each data stream into two substreams, by assign-ing odd-numbered examples to the test stream and the even-numbered ... reports, of which 6,341 had a closed status We generated two datasets: • Android SUBCOMPONENT The reports which are labeled with tags prefixed with Component- The development set con-tains 888 items

Ngày tải lên: 24/03/2014, 03:20

... Phylogenetics and Evolution with R Pfaff: Analysis of Integrated and Cointegrated Time Series with R Sarkar: Lattice: Multivariate Data Visualization with R Spector: Data Manipulation with R Yuelin Li • ... is to create a database This can be done by clicking “New” on a database software program with a graphical user interface From that new database you can add database tables New database tables ... 55 55 56 ix Appendix A Data Management with a Database This appendix contains the source code for creating the database in Fig 2.1 on page 34 Here we use an open source database software program

Ngày tải lên: 28/03/2014, 09:20

... COMPUTATIONS ONMASSIVE DATA STREAMS VED PRAKASH NATIONAL UNIVERSITY OF SINGAPORE 2015 Trang 2EFFICIENT DELEGATION ALGORITHMS FOR OUTSOURCING COMPUTATIONS ONMASSIVE DATA STREAMS VED PRAKASH (B.Sc.(Hons), ... different models for delegating computations on data streams • In Chapter 3, we introduce the annotation model for verifying putations on data streams, which was first introduced in [21] In thismodel, ... this thesis The data stream defines a function A : [N ] → R The data elements in the stream arrive in anonline fashion, and the system has no control over the order in which thedata streams arrive

Ngày tải lên: 08/09/2015, 15:23

... previously mentioned, the relational data model coupled with compliant relational database systems has been the principal platform fordata management and data analytics Since its establishment ... the CAGR for data is projected to be 53% over the same period (Nad-karni and DuBois, 2013) If data size is the only issue, then the entire BigData paradigm could have been resolved with a distributed ... structured mentality towards data agement, traditional data warehouses have an inclination towards pro-cessing “clean” data; thus in contrast, unstructured or semi-structureddata has poor affinity

Ngày tải lên: 09/09/2015, 11:13

... 100, w = 5, 000 323.4 Sample 100 data with window size of 5, 000 from a 10, 000 data stream 333.5 Sample 200 data with window size of 2, 000 from a 20, 000 data stream 333.6 Probability distributions ... sampling from a data stream with a slidingwindow We consider a sample of fixed size With the moving of the window, theexpired data have null probability to be sampled and the data inside the ... the processing of large datasets [13, 28, 106] Two kinds of large datasets are constantly encountered in contemporaryapplications They are data streams and large graphs A data stream is a ordered

Ngày tải lên: 10/09/2015, 09:28

... 27CHAPTER 2 The Data StreamsData streams have the nature of extremely high speed and large volume The ditional database model for relatively static data is no longer capable of processingthe streams ... the data streams 2.1.2 Queries over data streams Many traditional query types find their applications in data streams, but their mantics differ slightly from the traditional ones in the data ... called data stream.This type of data is characterized by an extremely high data arrival rate and a verylarge data volume Network monitoring may be the most compelling applicationthat deals with data

Ngày tải lên: 15/09/2015, 17:09

... hand,data reduction techniques also render faster processing possible as the loads of aprocessor increase linearly with data size In the procedure of data reduction, we should discard data with ... ofthe data from the whole data set It can be also considered as drawing a certainportion of the data from the whole data set It is the latter perspective that relatesefficient sampling and data ... asthe retained data while the other units in the population are considered as thediscarded data Hence, RSS is considered as a data reduction method in general Trang 23Chapter 3RSS for data reduction

Ngày tải lên: 04/10/2015, 10:24

... devoted to the study of cachingschemes with location-dependent data access being taken into account Datacaching schemes with location-dependent data replacement and data handover poli-cies are even ... nodes CacheData allows multiple nodes to cache the data along the path established between the requesting node and the data server There are several advantages of using data caching: 1 Data caching ... Complexity Analysis 15 2.4 Data Access Models 18 2.5 Assumptions & Properties 20 3 Data Caching with & without Handover and Replacement 22 3.1 Proposed Data Caching Schemes

Ngày tải lên: 10/11/2015, 11:07

... WHEN THE ADDRESSES ARE FULLY MULTIPLEXED WITH DATA IN 16-BIT DATA MODE FIGURE 13: WRITE TIMING WHEN THE ADDRESSES ARE FULLY MULTIPLEXED WITH DATA IN 16-BIT DATA MODE ... mode (address data demultiplexed) • Partially Multiplexed mode (lower address multiplexed with data) • Fully Multiplexed mode (both lower and higher bytes of address multiplexed with data) DEMULTIPLEXED ... on data access as per thePMMODE configuration PMDIN1 REGISTER This register holds the data read while reading, andholds the data to be written while writing When thePMP is configured in 8-Bit Data

Ngày tải lên: 11/01/2016, 17:01

... the data stream case because of the huge volume of the underlying data Chapter 11 explores the problem of indexing and querying data streams Dimensionality Reduction and Forecasting in Data Streams ... comprehensively describe the data stream This compact representation can also be used for effective forecasting of the data streams Distributed Mining of Data Streams In many instances, streams are generated ... generate huge amounts of online data which grow at an unlimited rate These kinds of online data are referred to as data streams The issues on management and analysis of data streams have been researched...

Ngày tải lên: 08/11/2013, 02:15

... of Data Streams: A Micro-clustering Approach One important data mining problem which has been studied in the context of data streams is that of stream classification [15] The main thrust on data ... Abstract With the advance in both hardware and software technologies, automated data generation and storagehas become faster than ever Such data is referred to as data streams Streaming data is ... of data streams We can categorize these solutions as data- based and task-based ones In data- based solutions, the idea is to examine only a subset of the whole data set or to transform the data...

Ngày tải lên: 08/11/2013, 02:15

... high speed nature of the data streams An important motivation behind the framework is to deal with the expiration of old data streams The idea of using the most recent data streams to build and use ... algorithm for numerical data streams This is one of the few rule-based classifiers for data streams It is inherently difficult to construct rule based classifiers for data streams, because of the ... frequent itemsets over data streams c 2.2 < Data Streams In a data stream, transactions arrive continuously and the volume of transactions can be potentially infinite Formally, a data stream D can...

Ngày tải lên: 08/11/2013, 02:15

... watermark 94 DATA STREAMS: MODELS AND ALGORITHMS spatial locations in the data at which the data is being reduced, those at which the data is increasing, and those from where the data is shifting ... ALGORITHMS not designed to work well with data streams since the distribution of the data evolves over time Some recent results [13] discuss methods for mining data streamsunder block evolution We ... Statistical Database Management (SSDBM'04), 2004 [13] G Cormode, M Datar, P Indyk, and S Muthukrishnan Comparing Data Streams Using Hamming Norms In Proceedings of Conference on Very Large Data Bases...

Ngày tải lên: 15/12/2013, 13:15

... studies with synthetic data streams of various characteristics The data stream is generated by a data generator similar in spirit to the IBM data generator (151) designed for testing data mining ... remove this watermark 108 DATA STREAMS: MODELS AND AL.GORITHMS Architecture for On-line Analysis of Data Streams To facilitate on-line, multi-dimensional analysis of data streams, we propose a stream-cube ... on the data streams If this relationship does not hold, then the system will be unable to keep up with the arriving data streams, and input buffers and latency of responses will grow without...

Ngày tải lên: 15/12/2013, 13:15

... a data stream management system that has been designed to deal with a very large numbers of data streams The query network in Aurora is a directed acyclic graph (DAG), with sources as data streams ... over data streams Data elements arrive on multiple data streams, and the system examines each data item as it arrives and attempts to assign it to one of a finite set of classes using a data ... or more data streams present an interesting challenge for load shedding because of the complex interactions between load shedding decisions on the streams being joined Joins between data streams...

Ngày tải lên: 15/12/2013, 13:15