• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>OCEANS 2011 >Security infrastructure for commercial and military ports
【24h】

Security infrastructure for commercial and military ports

机译：商业和军事港口的安全基础设施

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

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，这些技术与现有和未来的港口安全系统集成在一起，可以作为整体集成安全网络的一部分，可以针对商业港口或海军设施的个性化需求进行量身定制。主要挑战包括水方面的问题，例如地理，测深，河道尺寸，变化的底部拓扑，环境条件，在所有条件下的运行以及适合船只和小型船舶操作的海况，港口的布置以及特定于港口的独特威胁。但是，许多港口安全系统开发和实施新的传感器技术，而不是评估总体安全需求，也就是说，它们遵循技术推动而非市场拉动的方法。尽管所述安全方法可能以各种形式和格式集成了传感器数据，存储的数据，情报数据库和人类观察，但它们通常不提供通过集成的综合威胁分析来提醒安全人员所需的特定于端口的漏洞和威胁信息。大多数方法依赖于实时的在环检测策略，这些策略在面对现实世界的约束时可能会步履蹒跚：人员资源有限，人为疲劳和错误，分心以及对异常的误解。为了提供可行的潜在威胁解决方案集，必须对统计数据和概率分析进行异常识别。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号