University has been based on the entrepreneurial spirit in the local economy. According to the survey, ecosystem components play an integral role in their evolution in the ecosystem's relative economic modeling. To achieve the expected research goals are, the body's literature; has focused on the theoretical support for the interconnected components of the ecosystem of innovation and entrepreneurial spirit of the University of Economics in the region directly below. Also, throughout the whole investigation's hypothetical structure, this proposition's endeavors will show the possible hole of raised information from two serious issues in this environment. Model unusual organization traffic recognition strategy and framework has been Support Vector Machine proposed. By coordinating the information parcels with a similar stream, can diminish the framework's overhead preparation. Suggest that utilize a discovery calculation for distinguishing an adjustment in the process to assault the traffic design. The calculation likewise permits to distinguish the new port number's utilization to recognize this sort of assault or altered payload and mark-based framework by a variation of the assault. Further, the calculation verifies that it has neglected to pass the review to be restricted to the gathered data, and the assault is recognized throughout the traffic data. Proposed a location plan of stream-based strange organization traffic. It utilizes this calculation.

大学一直以当地经济中的企业家精神为基础。根据调查，在生态系统的相对经济模型中，生态系统的组成部分在其演化中起着不可或缺的作用。为了达到预期的研究目的，是人体的文献；一直致力于为直接下方经济大学的创新和企业家精神生态系统的相互联系的组成部分提供理论支持。同样，在整个调查的假设结构中，该命题的努力将显示在此环境中来自两个严重问题的信息的可能漏洞。支持向量机已经提出了模型异常组织流量识别策略和框架。通过将信息包与类似的流进行协调，可以减少框架的开销准备。建议在攻击过程中利用发现计算来区分过程中的调整。该计算同样允许区分新端口号的用途，以通过攻击的变体来识别这种攻击或更改的有效负载和基于标记的框架。此外，该计算验证是否忽略了将其审查限制为所收集的数据，并且在整个交通数据中识别出攻击。提出了基于流的奇怪组织流量的位置计划。它利用了这一计算。该计算同样允许区分新端口号的用途，以通过攻击的变体来识别这种攻击或更改的有效负载和基于标记的框架。此外，该计算验证是否忽略了将其审查限制为所收集的数据，并且在整个交通数据中识别出攻击。提出了基于流的奇怪组织流量的位置计划。它利用了这一计算。该计算同样允许区分新端口号的用途，以通过攻击的变体来识别这种攻击或更改的有效负载和基于标记的框架。此外，该计算验证是否忽略了将其审查限制为所收集的数据，并且在整个交通数据中识别出攻击。提出了基于流的奇怪组织流量的位置计划。它利用了这一计算。提出了基于流的奇怪组织流量的位置计划。它利用了这一计算。提出了基于流的奇怪组织流量的位置计划。它利用了这一计算。