Speeding up detection of cyber crimes

截至2014年，网络犯罪每年给全球经济造成的损失超过4000亿美元。犯罪行为不胜枚举，从盗窃知识产权到盗窃金融资产，再到操纵市场，不一而足。 这项研究建议开发一种新的、快速的和可扩展的技术来加速检测软件系统中的网络犯罪。这种技术将加快对网络威胁的检测，降低检测成本，并将犯罪者造成损害的风险降至最低。 尽管这个问题与任何处理敏感数据或关键服务(金融、法律、医疗保健、工程、技术等)的行业相关，但目前还没有解决方案可以解决eSall需要处理的数据量和速度问题。 将对现有技术进行评估，并开发新的方法，最终目标是将这些技术结合成解决这一问题的新解决方案。最终的系统将是一个软件解决方案，将被集成到ESall安全软件堆栈中。这项研究将增强eSall的市场竞争力，确保这家加拿大公司在快速增长的网络安全行业中成为强有力的竞争者。这项研究还将降低eSall客户受到损害的风险，减少加拿大经济的损失。

As of 2014, cyber crime costs global economy more than 400 billion USD a year. The crimes are numerous, ranging from theft of intellectual property, to theft of financial assets, to market manipulation. This study proposes to develop a novel, fast and scalable technique for speeding up detection of cyber crime in software systems. Such technique would expedite detection of cyber threats, reducing cost of detection and minimizing the risk of damage by the perpetrator. Though the relevance of this problem for any industry dealing with sensitive data or critical services (Financial, Legal, Health Care, Engineering, Technological, etc.), no solution currently exists that can tackle the volume and velocity of data needed to be processed by eSentire. Existing techniques will be evaluated and new approaches will be developed, having as an ultimate goal to combine these into a novel solution that tackles this problem. The final system will be a software solution that will be integrated into eSentire security software stack. This research will bolster the marketability of eSentire, ensuring that this Canadian company is a strong contender in the rapidly growing industry of cybersecurity. The research will also reduce the risk of damage to the eSentire clients, reducing losses to the Canadian economy.