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Security infrastructure for commercial and military ports

机译:商业和军事港口的安全基础设施

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Battelle has been developing robust detection and scanning technologies that integrate with existing and future port security systems as part of overall integrated security networks that can be tailored to meet individual requirements for commercial ports or Navy facilities. Major challenges include the water side issues such as geography, bathymetry, channel dimensions, changing bottom topology, environmental conditions, operation under all conditions and sea states suitable for vessel and small craft operation, harbor arrangement, and port-specific unique threats. However, many port security systems develop and implement new sensor technologies rather than assess the overall security need—that is, they follow a technology push rather than a market pull approach. While stated security approaches may integrate sensor data, stored data, intelligence databases, and human observations in various forms and formats, they generally do not provide the port-specific vulnerability and threat information required to alert security personnel with an integrated, composite threat analysis. Most approaches depend upon real-time person-in-the-loop detection strategies that can falter when faced with real world constraints: limited personnel resources, human fatigue and error, distractions, and misinterpretation of anomalies. Statistical and probabilistic analyses for anomaly identification are necessary to provide viable potential threat solution sets.
机译:Battelle一直在开发强大的检测和扫描技术,该技术与现有和未来的端口安全系统集成,作为整体集成安全网络的一部分,可以根据商业港口或海军设施满足各个要求。主要挑战包括地理,浴权,通道尺寸,变化的底拓种,环境条件,环境条件等各种条件和海洋各国的水边问题,以及适用于船舶和小型工艺操作,港口安排和港口特定的独特威胁。然而,许多端口安全系统开发和实施新的传感器技术,而不是评估整体安全性的需求 - 也就是说,它们遵循技术推动而不是市场拉动方法。虽然说明的安全方法可以以各种形式和格式集成传感器数据,存储的数据,智能数据库和人类观察,但它们通常不会提供针对安全人员具有集成,复合威胁分析所需的端口特定的漏洞和威胁信息。大多数方法都取决于当面对现实世界的束缚时的实时循环检测策略:有限的人事资源,人类疲劳和误差,分心和异常的误解。对于异常识别的统计和概率分析是提供可行的潜在威胁解决方案集。

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