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<doi_batch_id>1e416013186c20a17cb4d67</doi_batch_id>
<timestamp>20230720021707908</timestamp>
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  <email_address>director@blueeyesintelligence.org</email_address>
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<journal_metadata>   <full_title>International Journal of Innovative Technology and Exploring Engineering</full_title>   <abbrev_title>IJITEE</abbrev_title>   <issn media_type='electronic'>22783075</issn>   <doi_data>     <doi>10.35940/ijitee</doi>     <resource>https://www.ijitee.org/</resource>   </doi_data> </journal_metadata> <journal_issue>  <publication_date media_type='online'>     <month>07</month>     <day>30</day>     <year>2023</year>   </publication_date>   <journal_volume>     <volume>12</volume>   </journal_volume>   <issue>8</issue> </journal_issue><!-- ============== --> <journal_article publication_type='full_text'>   <titles>     <title>Spear Watch: A Thorough Examination to Identify Spear Phishing Attacks</title>   </titles>   <contributors>      <organization sequence='first' contributor_role='author'>Department of Information Technology, University of Mumbai, Mumbai (Maharashtra), India.</organization>    <person_name sequence='first' contributor_role='author'>      <given_name>Anjali Shrikant</given_name>      <surname>Shukla</surname>    </person_name>    <person_name sequence='additional' contributor_role='author'>       <given_name>Sameer Rajendra</given_name>       <surname>Chavan</surname>     </person_name>     <organization sequence='additional' contributor_role='author'>Department of Information Technology, University of Mumbai, Mumbai (Maharashtra), India.</organization>     <person_name sequence='additional' contributor_role='author'>       <given_name>Srivaramangai</given_name>       <surname>R</surname>       <ORCID>https://orcid.org/0000-0003-2723-6067</ORCID>     </person_name>     <organization sequence='additional' contributor_role='author'>Department of Information Technology, University of Mumbai, Mumbai (Maharashtra), India.</organization>   </contributors>    <jats:abstract xml:lang='en'>         <jats:p>A form of cybersecurity assault known as phishing involves hostile actors sending messages while posing as a reliable individual or organization. Spear-phishing assaults target a particular victim, and communications that pretend to be from someone they know and contain personal information are updated to directly address that victim. Spear-phishing takes more planning and effort to complete than phishing. Because these attacks are so skillfully customized, conventional security frequently cannot stop them. They are consequently getting harder to find. The spear phishing emails generally require a sophisticated security protocol, deploying threat detection and response tools. There are many research works with newer techniques applied for such systems. Most of them use AI, ML algorithms in identifying the threat and taking necessary actions. This paper emphasizes the importance of having much more enhanced techniques by means of research &amp; development. To start with, the research this work focuses on exploring various detection techniques, where machine learning, natural language processing algorithms are used especially on behaviour analysis, and anomaly detection. This paper lays a foundation for future research in this area.</jats:p>     </jats:abstract>  <publication_date media_type='online'>     <month>07</month>     <day>30</day>     <year>2023</year>   </publication_date>   <pages>     <first_page>46</first_page>     <last_page>51</last_page>   </pages>   <crossmark>     <crossmark_version>CC BY-NC-ND 4.0</crossmark_version>     <crossmark_policy>10.35940/BEIESP.CrossMarkPolicy</crossmark_policy>     <crossmark_domains>       <crossmark_domain>          <domain>www.ijitee.org</domain>       </crossmark_domain>     </crossmark_domains>     <crossmark_domain_exclusive>true</crossmark_domain_exclusive>     <custom_metadata>       <assertion explanation='Journal Name' group_label='Journal Name' group_name='Journal' name='Declaration' order='0'>International Journal of Innovative Technology and Exploring Engineering (IJITEE)</assertion>       <assertion explanation='Funding' group_label='Funding' group_name='Funding' name='Declaration' order='1'>No, we did not receive.</assertion>       <assertion explanation='Conflicts of Interest' group_label='Conflicts of Interest' group_name='Conflicts-of-Interest' name='Declaration' order='2'>No conflicts of interest to the best of our knowledge.</assertion>       <assertion explanation='Ethical Approval and Consent to Participate' group_label='Ethical Approval and Consent to Participate' group_name='Ethical-Approval-and-Consent-to-Participate' name='Declaration' order='3'>No, the article does not require ethical approval and consent to participate with evidence.</assertion>       <assertion explanation='Availability of Data and Material' group_label='Availability of Data and Material' group_name='Availability-of-Data-and-Material' name='Declaration' order='4'>Not relevant.</assertion>       <assertion explanation='Authors Contributions' group_label='Authors Contributions' group_name='Authors-Contributions' name='Declaration' order='5'>All authors have equal participation in this article.</assertion>     </custom_metadata>   </crossmark>   <doi_data>     <doi>10.35940/ijitee.H9680.0712823</doi>     <resource>https://www.ijitee.org/portfolio-item/H96800712823/</resource>   </doi_data> </journal_article>
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