在密文域中保护QoS

Joanna N. Ptasinski, David R. Wasserman, R. Casey
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引用次数: 0

摘要

自动数字网络系统(ADNS)为美国海军舰艇、潜艇和海岸设施提供网络服务和进入国防信息系统网络(DISN)。ADNS是海军的主要战术广域网(WAN),旨在为系统分配给非机密、秘密、敏感分隔信息(SCI)以及联合和联盟网络的带宽提供最佳利用。作为舰船与岸基RNOSC和NCTS之间的主要战术网络接口,ADNS INC III用于支持关键任务指挥和控制(C2)通信,因此,ADNS INC III必须提供针对消耗我们很大一部分带宽的对抗性洪水攻击的保护。我们是第一个证明通过使用最大熵估计的统计密文(CT)流分析可以检测恶意洪水攻击并进一步监管受保护的核心流量以保持服务质量(QoS)的人。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Protecting QoS in the Ciphertext Domain
The Automated Digital Network System (ADNS) provides network services and entry into the Defense Information System Network (DISN) for U.S. Navy ships, submarines and shore facilities. ADNS is the Navy's primary tactical wide area network (WAN) and intends to provide optimal use of the bandwidth assigned by the system to Unclassified, Secret, Sensitive Compartmented Information (SCI), and Joint and Coalition networks. As the primary tactical network interface between ships and shore-based RNOSC and NCTS, ADNS INC III is employed to support Mission Critical Command and Control (C2) communications and as such, ADNS INC III must provide protection against adversarial flooding attacks aimed at consuming a significant portion of our bandwidth. We are the first to show that through statistical ciphertext (CT) flow analysis using Maximum Entropy Estimation it is possible to detect malicious flooding attacks and to further police the protected core traffic to preserve Quality of Service (QoS).
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