Spear Watch: A Thorough Examination to Identify Spear Phishing Attacks
Anjali Shrikant Shukla1, Sameer Rajendra Chavan2, Srivaramangai R3
1Anjali Shrikant Shukla, Department of Information Technology, University of Mumbai, Mumbai (Maharashtra), India.
2Sameer Rajendra Chavan, Department of Information Technology, University of Mumbai, Mumbai (Maharashtra), India.
3Srivaramangai R, Department of Information Technology, University of Mumbai, Mumbai (Maharashtra), India.
Manuscript received on 30 June 2023 | Revised Manuscript received on 08 July 2023 | Manuscript Accepted on 15 July 2023 | Manuscript published on 30 July 2023 | PP: 46-51 | Volume-12 Issue-8, July 2023 | Retrieval Number: 100.1/ijitee.H96800712823 | DOI: 10.35940/ijitee.H9680.0712823
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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 address that victim directly. Spear-phishing takes more planning and effort to complete than phishing. Because these attacks are so skillfully customised, conventional security measures often cannot stop them. They are consequently getting harder to find. Spear phishing emails generally require a sophisticated security protocol, including the deployment of threat detection and response tools. Numerous research works apply newer techniques to such systems. Most of them utilise AI and ML algorithms to identify threats and take necessary actions. This paper emphasises the importance of developing more advanced techniques through research and development. To start with, this work focuses on exploring various detection techniques, utilising machine learning and natural language processing algorithms, particularly in behaviour analysis and anomaly detection. This paper lays a foundation for future research in this area.
Keywords: Spear Phishing, Social Engineering, Email Analysis, Link Analysis, Email Content Analysis, Attack Detection, Malicious Emails, Fraudulent Emails.
Scope of the Article: Social Networks