Exception Agent Detection System for IP Spoofing Over Online Environments

TL;DR

This paper introduces an Exception Agent Detection System (EADS) designed to identify and eliminate unknown IP spoofing attacks in online environments, enhancing security beyond traditional signature-based IDS methods.

Contribution

The paper proposes a novel EADS approach that improves detection of unknown threats by analyzing header information, addressing limitations of existing signature detection techniques.

Findings

EADS effectively detects unknown IP spoofing attacks.

The system enhances online environment security.

Improves detection speed over traditional IDS methods.

Abstract

Over the recent years, IP and email spoofing gained much importance for security concerns due to the current changes in manipulating the system performance in different online environments. Intrusion Detection System (IDS) has been used to secure these environments for sharing their data over network and host based IDS approaches. However, the rapid growth of intrusion events over Internet and local area network become responsible for the distribution of different threats and vulnerabilities in the computing systems. The current signature detection approach used by IDS, detects unclear actions based on analyzing and describing the action patterns such as time, text, password etc and has been faced difficulties in updating information, detect unknown novel attacks, maintenance of an IDS which is necessarily connected with analyzing and patching of security holes, and the lack of information on user privileges and attack signature structure. Thus, this paper proposes an EADS (Exception agent detection system) for securing the header information carried by IP over online environments. The study mainly concerns with the deployment of new technique for detecting and eliminating the unknown threats attacks during the data sharing over online environments.