Internet Traffic Surveillance & Network Monitoring in India: Case Study of NETRA

Rajan Gupta, S. K. Muttoo
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引用次数: 2

Abstract

Internet traffic surveillance is gaining importance in today’s digital world. Lots of international agencies are putting in efforts to monitor the network around their countries to see suspicious activities and illegal or illegitimate transmission of messages. India, being a center of attraction for terrorist activities, is also working towards the development of such surveillance systems. NETRA or Network Traffic Analysis is one such effort being taken by the Indian Government to filter suspicious keywords from messages in the network. But is it good enough to be used at the highest level for security analysis or does the system design needs to be improved as compared to other similar systems around the world; this question is answered through this study. The comparison of NETRA is done against Dish Fire, Prism, and Echelon. The design of the NETRA scheme and implementation level analysis of the system shows few weaknesses like limited memory options, limited channels for monitoring, pre-set filters, ignoring big data demands, security concerns, social values breach and ignoring ethical issues. These can be covered through alternate options which can improve the existing system. The Inclusion of self-similarity models, Self-Configuring Network Monitoring, and smart monitoring through early intrusion detections can be embedded in the architecture of existing surveillance system to give it more depth and make it more robust.
印度互联网流量监控与网络监控:NETRA案例研究
互联网流量监控在当今的数字世界中变得越来越重要。许多国际机构都在努力监控他们国家周围的网络,以发现可疑活动和非法或非法的信息传输。作为恐怖主义活动的中心,印度也在努力开发这种监视系统。NETRA或网络流量分析是印度政府正在采取的一项努力,旨在从网络中的消息中过滤可疑关键词。但是,它是否足够好,可以用于最高级别的安全分析,或者与世界上其他类似系统相比,系统设计是否需要改进;这个问题通过这项研究得到了回答。NETRA与Dish Fire, Prism和Echelon进行了比较。从NETRA方案的设计和系统的实施层面分析可以看出,该系统存在内存选项有限、监控通道有限、预设过滤器、忽视大数据需求、安全问题、违背社会价值观、忽视伦理问题等不足。这些问题可以通过可以改进现有制度的备选方案加以解决。将自相似模型、自配置网络监控和通过早期入侵检测进行智能监控嵌入到现有监控系统的架构中,使其更具深度和鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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