<?xml version="1.0" encoding="UTF-8"?>
<mods xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.loc.gov/mods/v3" version="3.1" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
  <titleInfo>
    <title>Data mining and machine learning in cybersecurity</title>
  </titleInfo>
  <name type="personal">
    <namePart>Dua, Sumeet.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Du, Xian.</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">bibliography</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">flu</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Boca Raton</placeTerm>
    </place>
    <publisher>CRC Press</publisher>
    <dateIssued>c2011</dateIssued>
    <dateIssued encoding="marc">2011</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xxii, 234 pages : illustrations ; 25 cm.</extent>
  </physicalDescription>
  <abstract>"Introducing basic concepts of machine learning and data mining methodologies for cyber security, this book provides a unified reference for specific machine learning solutions and cybersecurity problems. The authors focus on how to apply machine learning methodologies in cybersecurity, categorizing methods for detecting, scanning, profiling, intrusions, and anomalies. The text presents challenges and solutions in machine learning along with cybersecurity fundamentals. It also describes advanced problems in cybersecurity in the machine learning domain and examines privacy-preserving data mining methods as a proactive security solution"--</abstract>
  <abstract>"This interdisciplinary assessment is especially useful for students, who typically learn cybersecurity, machine learning, and data mining in independent courses. Machine learning and data mining play significant roles in cybersecurity, especially as more challenges appear with the rapid development of information discovery techniques, such as those originating from the sheer dimensionality and heterogeneous nature of the network data, the dynamic change of threats, and the severe imbalanced classes of normal and anomalous behaviors"--</abstract>
  <note type="statement of responsibility">Sumeet Dua, Xian Du.</note>
  <note>Includes bibliographical references and index.</note>
  <note>CSE</note>
  <subject authority="lcsh">
    <topic>Computer security</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Computer networks</topic>
    <topic>Security measures</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Data mining</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Machine learning</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Hacking</topic>
  </subject>
  <subject authority="">
    <topic>COMPUTERS / Database Management / Data Mining</topic>
  </subject>
  <subject authority="">
    <topic>COMPUTERS / Software Development &amp; Engineering / Systems Analysis &amp; Design</topic>
  </subject>
  <subject authority="">
    <topic>COMPUTERS / Security / General</topic>
  </subject>
  <subject authority="">
    <topic>Computer science</topic>
  </subject>
  <classification authority="lcc">QA76.9.D343 D825 2011</classification>
  <classification authority="ddc" edition="22">005.8</classification>
  <identifier type="isbn">9781439839423 (hardback : alk. paper)</identifier>
  <identifier type="isbn">1439839425 (hardback : alk. paper)</identifier>
  <identifier type="lccn">2011006228</identifier>
  <location>
    <physicalLocation>Ayesha Abed Library</physicalLocation>
  </location>
  <recordInfo>
    <recordContentSource authority="marcorg">DLC</recordContentSource>
    <recordCreationDate encoding="marc">180813</recordCreationDate>
    <recordChangeDate encoding="iso8601">20250227152959.0</recordChangeDate>
    <recordIdentifier source="BD-DhAAL">33689</recordIdentifier>
  </recordInfo>
</mods>
