인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Criminals exploit the robust anonymity afforded by Tor for illicit purposes, prompting heightened interest among researchers in de-anonymization attacks on the Tor network. The execution of experiments on de-anonymization attacks within a real Tor network presents considerable challenges, hence the necessity for a simulation environment. However, existing methods for simulating the Tor network are inadequate regarding realism, flexibility, and scalability, with some being prohibitively expensive. In this paper, we develop a lightweight and scalable Tor network simulation environment based on Kubernetes (K8s), employing Docker containers to simulate Tor relays. The results demonstrate that a network of up to a thousand Tor relays can be simulated using just four standard hosts. Furthermore, two de-anonymization attack experiments were conducted within this simulated environment, which exhibited high levels of realism and flexibility. Finally, a hybrid networking approach combining multi-granularity relays was explored to enhance further the balance between realism and cost in Tor network simulations.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.