Automated Malware Neutralization via Network Interception
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Solution Overview
Problem
Existing malware protection systems are inadequate in providing automated neutralization of malware threats without requiring endpoint security software, particularly in heterogeneous networks, and are less effective for Linux systems, leading to a higher likelihood of infection and overwhelming notification volumes from commercial Intrusion Detection Systems (IDS).
Innovation Solution
The system leverages IDS to detect malicious network activity, sending alerts to a malware countermeasures server that intercepts traffic between malware hosts and C2 servers, employing offensive cybersecurity techniques such as masquerading as the victim or C2 server to disrupt malware operations, using response modules that exploit vulnerabilities and send disruptive messages to neutralize threats.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If commercial IDS is used to detect malware activity, then detection capability is improved, but notification volume becomes overwhelming and requires manual operator attention
Solution Approach 1:
A response server acts as an intermediary between the IDS and the malware neutralization process. The response server receives alerts from the IDS, automatically processes them through response modules, and executes neutralization actions without requiring manual operator intervention. This intermediary system filters and manages the notification flow, converting overwhelming alerts into automated responses.
Solution Approach 2:
The system implements self-service by automatically neutralizing malware threats without human intervention. When the IDS detects malware activity, the response server autonomously loads appropriate response modules, intercepts malware communications, and executes countermeasures. This automated self-service eliminates the need for operators to manually process each alert, resolving the overwhelming notification volume problem.
2Reliability
If endpoint security products are deployed to protect against malware, then protection effectiveness is improved, but system compatibility and deployment difficulty increase in heterogeneous networks
Solution Approach 1:
The system shifts the security approach from the endpoint dimension to the network dimension. Instead of installing security software on individual endpoints (which creates compatibility issues in heterogeneous networks), the response server operates at the network level, intercepting and neutralizing malware communications regardless of the endpoint's operating system or security software status. This dimensional shift provides universal protection across diverse network environments.
Solution Approach 2:
The response server serves as a network-level intermediary that protects all endpoints uniformly without requiring endpoint-specific security software. It intercepts communications between malware and C2 servers at the network level, providing protection that is independent of the endpoint's operating system, security configuration, or installed software. This intermediary approach resolves the compatibility and deployment difficulties in heterogeneous networks.
3Reliability
If passive IDS notification is used, then detection is achieved, but automated neutralization capability is lacking
Solution Approach 1:
The system ensures continuity of useful action by maintaining an automated response chain from detection to neutralization. When the IDS detects malware activity, the response server continuously processes the alert, loads the appropriate response module, and executes neutralization actions without interruption or manual intervention. This continuous automated action transforms passive detection into active, ongoing protection.
Solution Approach 2:
The system implements feedback by creating a closed-loop automated response system. The IDS provides detection feedback, the response server processes this feedback by loading appropriate response modules, executes neutralization actions, and thereby completes the feedback loop. This automated feedback mechanism eliminates the gap between detection and neutralization that exists in passive IDS systems.
Data Source
AI summary
A malware neutralization system for a computer network includes an intrusion detection system (IDS) in data communications with the computer network. The IDS is arranged to: i) detect malware communications between a malware command and control (C2) server and a malware client on a computer connected to the computer network and ii) send a malware alert to a malware response server. The malware response server is in communications with the computer network and arranged to: i) receive the first malware alert, ii) determine the type of malware threat based on the first malware alert, iii) intercept one or more malware messages from the malware client that are directed to the malware C2 server, iv) instantiate an appropriate malware response module, and v) use the loaded response module to send one or more malware response messages to the malware client to disrupt an operation of the malware client.