Decoy IP Address Management for Honeypot Visibility
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Solution Overview
Problem
Deploying honeypots in large enterprises with thousands of networks across various geographic locations is challenging due to scalability issues, as existing methods struggle to make these decoy systems visible in the network effectively.
Innovation Solution
A scalable approach is implemented by equipping network endpoints with a forwarding module that participates in an election process to select a subset to function as honeypots, receiving configuration data from a management server to acquire decoy IP addresses and simulate network services, and forwarding traffic to engage potential attackers, thereby increasing visibility and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If honeypots are deployed in large enterprises with thousands of networks, then the coverage and visibility of honeypots improve, but the system complexity and resource consumption increase significantly
Solution Approach 1:
The system segments the large enterprise network into multiple domains, with each domain independently electing a honeypot forwarder. This divides the complex task of managing thousands of networks into smaller, manageable domain-level operations, reducing overall system complexity while maintaining wide coverage.
Solution Approach 2:
The honeypot forwarder is designed to perform multiple functions: it acts as both a network service (responding to traffic on decoy IP addresses) and a traffic forwarder (redirecting traffic to the management server). This multi-functionality reduces the number of separate components needed, simplifying the system architecture.
2Adaptability or versatility
If honeypots are deployed across geographically distributed networks, then the network visibility and attacker engagement improve, but the resource overhead and management difficulty increase
Solution Approach 1:
The system implements self-service through automatic election of honeypot forwarders in each domain and dynamic acquisition of decoy IP addresses. This eliminates manual configuration and management across geographically distributed networks, reducing operational overhead while maintaining broad geographic coverage.
Solution Approach 2:
The management server receives traffic forwarded from honeypot forwarders and engages attackers, then provides feedback by managing the decoy IP address pool and coordinating across domains. This centralized feedback mechanism simplifies management of distributed honeypots by providing a single point of control.
3Illumination intensity
If decoy IP addresses are assigned to honeypots, then the honeypots become visible in the network, but the IP address management complexity increases
Solution Approach 1:
The system uses dynamic IP address management where the management server dynamically allocates and manages the decoy IP address pool. Honeypot forwarders dynamically acquire decoy IP addresses as needed rather than having static assignments, allowing flexible visibility control while simplifying IP management through centralized dynamic allocation.
Data Source
AI summary
Endpoints of various domains implement forwarding modules as well as perform various production tasks. The endpoints of a domain participate in an election process by which one or more endpoints are selected to operate as honeypots. The forwarding modules of non-selected endpoints become inactive, but wake up periodically to determine whether an election process is occurring. Selected endpoints obtain configuration data from a management server. The endpoints then acquire IP addresses and implement one or more services according to the configuration data. The management server may configure the services based on a location of the selected endpoint. Traffic received by the selected endpoints is forwarded to the management server, which engages an attacker system using one or more VMs. When an endpoint moves to a different domain, it releases acquired IP addresses and attempts to participate in the election process in the different domain.