Geographic Based Detection and Prevention of Spoofing Attack
V. Prabhu1, D. Jaganathan2
1V. Prabhu, Assistant Professor, Department of Computer Science and Engineering, Vel Tech Rangarajan, Dr. Sagunthala R&D Institute of Science and Technology, Avadi (Tamil Nadu), India.
2D. Jaganathan, Assistant Professor, Department of Computer Science and Engineering, Vel Tech Rangarajan, Dr. Sagunthala R&D Institute of Science and Technology, Avadi (Tamil Nadu), India.
Manuscript received on 01 May 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 422-425 | Volume-8 Issue-7, May 2019 | Retrieval Number: G5257058719/19©BEIESP
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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: Spoofing attacks remains one of the most damaging attacks in which an attacker can replace the original source address in the header with a new one to conceal their identity and location. Major spoofing attacks now a day’s users face is the email spoofing attack in which the spoofer gets details from the email user they target and attack through the fake email sender with fake messages and viruses to attack the users system, mail list, etc. which causes a greater damage to the email user who have opened and responded to that mail unknowingly. To overcome these types of attacks in this project we are analyzing the email with spammed contents to check whether it is from the right person or not and the location from where the mail has been sent by doing this we can secure the E-mail communication as maximum as possible.
Keyword: Blind Spoofing, Email Spoofing, Geolocation, Header Analyzer, whois.
Scope of the Article: Autonomic Computing and Agent-Based Systems.