PHISHING TEXT TRACKING WITH PASSIVE IP TRACEBACK IN ANDROID ENVIRONMENT
Author(s):
M NIRMALA, PAVITHRA K
Keywords:
Tracking messages, IP Spoofer, Source finder, Passive IP Trace back, Spam
Abstract
In order to hide their true locations while sending threatening or spam messages, attackers are known to employ forged source IP addresses, according to network security systems. A variety of IP trace back procedures have been suggested to identify the spoofers. However, there hasn't been a widely used IP trace back solution, at least not at the Internet level, due to deployment difficulties. Because of this, the mist surrounding the sites of spoofers has never cleared till now. This study suggests passive IP traceback (PIT), which avoids IP traceback solutions' implementation issues. PIT analyses path backscatter messages sent by the Internet Control Message Protocol that are caused by spoofing traffic and identifies the spoofers using publicly accessible data. PIT can locate the spoofers in this manner without the need for deployment. This study displays the procedures and efficiency of PIT and shows the collected positions of spoofers through applying PIT on the path backscatter data set. It also illustrates the causes, collection, and statistical results on path backscatter. These findings may provide more light on IP spoofing, which has long been studied but never fully comprehended. PIT may be the most effective method for tracing spoofers prior to the actual deployment of an Internet-level traceback system, despite the fact that it cannot detect all spoofing attempts. This conceptual approach outlines how passive IP traceback can be integrated into an Android environment for enhancing phishing text tracking. However, implementing such a solution would require careful consideration of technical feasibility, performance constraints, and compliance with platform-specific guidelines and regulations.
Article Details
Unique Paper ID: 159901

Publication Volume & Issue: Volume 9, Issue 12

Page(s): 784 - 791
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