Researchers have deployed 32-bit Internet address-based (IPv4) network telescopes and honeypots in academic networks and public cloud infrastructure to capture and react to unsolicited Internet traffic that often carries threat intelligence signals. However, the transition to 128-bit Internet addressing (IPv6) presents a fundamental challenge: its vast address space renders traditional (brute force) IPv4 scanning techniques ineffective, requiring new approaches for traffic collection and threat detection. This project introduces iVoyager, a cyberinfrastructure (CI) designed to empower researchers to effectively explore the evolving landscape of Internet threats by gathering cyber threat intelligence across both IPv4 and IPv6 network deployments. This project plans to design and implement iVoyager that provide three capabilities: (1) a flexible virtualized environment to facilitate development and deployment of distributed dual-stack (IPv4 and IPv6) telescopes and honeypots; (2) a proactive telescope that applies novel active techniques to attract malicious IPv6 traffic; (3) deployment of lightweight telescope and honeypot vantage points in public clouds and collaborating networks. The project plans to operationalize the reference design of iVoyager to collect longitudinal datasets that facilitate use of machine learning/artificial intelligence (ML/AI) for cyber threat hunting, anomaly detection, and malware analysis. iVoyager will complement existing CIs by providing add