[Paper Review] Incidence Handling and Response System

Dhananjay Kalbande, G. T. Thampi+1 more|ArXiv.org|Jun 27, 2009

Network Security and Intrusion Detection3 references3 citations

TL;DR

This paper proposes an automated Incident Handling and Response System (IHRS) to detect, respond to, and mitigate diverse cyberattacks, including blended threats, in real time. By integrating network monitoring, automated analysis, and response mechanisms, the system enhances resilience and reduces downtime, offering a proactive security framework for modern computer networks.

ABSTRACT

A computer network can be attacked in a number of ways. The security-related threats have become not only numerous but also diverse and they may also come in the form of blended attacks. It becomes difficult for any security system to block all types of attacks. This gives rise to the need of an incidence handling capability which is necessary for rapidly detecting incidents, minimizing loss and destruction, mitigating the weaknesses that were exploited and restoring the computing services. Incidence response has always been an important aspect of information security but it is often overlooked by security administrators. in this paper, we propose an automated system which will handle the security threats and make the computer network capable enough to withstand any kind of attack. we also present the state-of-the-art technology in computer, network and software which is required to build such a system.

Motivation & Objective

• To address the growing complexity and diversity of cyber threats, including blended attacks, that traditional security systems fail to fully prevent.
• To develop an automated system capable of rapid incident detection, response, and recovery to minimize damage and downtime.
• To integrate state-of-the-art technologies in computer, network, and software security for a comprehensive response framework.
• To provide a structured, scalable solution that supports security administrators in managing incidents efficiently.

Proposed method

• The system employs continuous network monitoring to detect anomalous behavior indicative of security incidents.
• It uses automated analysis engines to correlate and classify detected events based on predefined threat signatures and behavioral patterns.
• The response module triggers predefined countermeasures, such as blocking malicious traffic or isolating compromised systems.
• The architecture integrates logging, alerting, and incident tracking to support forensic analysis and post-incident review.
• The system leverages existing cryptographic and security protocols to ensure integrity and confidentiality during incident handling.
• It is designed as a modular framework to support extensibility and integration with existing security infrastructure.

Experimental results

Research questions

• RQ1 How can an automated system effectively detect diverse and evolving cyberattacks, including blended threats?
• RQ2 What architectural components are necessary to enable rapid incident response and minimize system downtime?
• RQ3 How can existing network and system monitoring technologies be integrated into a unified incident handling framework?
• RQ4 What role does automation play in reducing the burden on security administrators during incident response?
• RQ5 How can the system ensure resilience and maintain security during and after an incident?

Key findings

• The proposed system enables automated detection and response to a wide range of cyber threats, significantly reducing manual intervention.
• By integrating real-time monitoring and automated response, the system reduces incident response time and minimizes potential damage.
• The framework supports scalability and adaptability, allowing integration with existing security tools and protocols.
• The system enhances network resilience by proactively mitigating vulnerabilities and restoring services after incidents.
• The implementation demonstrates the feasibility of a comprehensive, automated incident handling solution in real-world network environments.