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02737aam a2200337 i 4500 001 E1FA07E4E97711ED8437380758ECA4DB 003 SILO 005 20230503010033 008 211009t20222022enka b 001 0 eng 010 $a 2021046596 020 $a 110841527X 020 $a 9781108415279 035 $a (OCoLC)1273679678 040 $a LBSOR/DLC $b eng $e rda $c DLC $d OCLCF $d OCLCO $d UKMGB $d OCLCO $d CDX $d YDX $d SILO 042 $a pcc 050 00 $a QA76.9 A25 J37 2022 084 $a COM053000 $2 bisacsh 100 1 $a Janeja, Vandana P., $d 1976- $e author. 245 10 $a Data analytics for cybersecurity / $c Vandana P. Janeja. 264 1 $a Cambridge, United Kingdom ; $b Cambridge University Press, $c 2022. 300 $a xiii, 192 pages : $b illustrations ; $c 24 cm 504 $a Includes bibliographical references (pages 165-188) and index. 505 0 $a Introduction -- data analytics for cybersecurity -- Understanding sources of cybersecurity data -- Introduction to data mining : clustering, classification and association rule mining -- Big data analytics and its need for cybersecurity -- Types of cyber attacks -- Anomaly detection for cyber security -- Anomaly detection -- Cybersecurity through time series and spatial data -- Cybersecurity through network and graph data -- Human centered data analytics for cyber security -- Future directions in data analytics for cybersecurity. 520 $a "As the world becomes increasingly connected, it is also more exposed to a myriad of cyber threats. We need to use multiple types of tools and techniques to learn and understand the evolving threat landscape. Data is a common thread linking various types of devices and end users. Analyzing data across different segments of cybersecurity domains, particularly data generated during cyber-attacks, can help us understand threats better, prevent future cyber-attacks, and provide insights into the evolving cyber threat landscape. This book takes a data oriented approach to studying cyber threats, showing in depth how traditional methods such as anomaly detection can be extended using data analytics and also applies data analytics to non-traditional views of cybersecurity, such as multi domain analysis, time series and spatial data analysis, and human-centered cybersecurity"-- $c Provided by publisher. 650 0 $a Computer security $x Data processing. 650 0 $a Data mining. 776 08 $i Online version: $a Janeja, Vandana P, 1976- $t Data analytics for cybersecurity $d Cambridge ; New York, NY : Cambridge University Press, 2022 $z 9781108231954 $w (DLC) 2021046597 941 $a 1 952 $l USUX851 $d 20230804011828.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=E1FA07E4E97711ED8437380758ECA4DB 994 $a C0 $b IWAInitiate Another SILO Locator Search