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随着云计算、多媒体、大数据等技术的快速发展,人们已经进入到了“互联网+”时代,基于互联网的应用软件已经覆盖了在线学习、电子商务、电子政务、仓储物流、金融证券等领域,大大地提高了人们工作、生活和学习的便捷性、共享性,促进了人类社会的信息化和自动化。但互联网在提供便利的同时也带来了许多风险,互联网接入的软硬件设备种类越来越多,规模越来越大,为黑客、木马和病毒提供了更多的攻击渠道,这些木马病毒攻击的技术水平也越来越高,安全威胁隐藏的时间长、危害广[1]。因此为了增强互联网的安全防御功能,本文提出构建一个主动安全防御系统,该系统引入了风险分析、安全评估和安全响应三个关键功能,利用大数据挖掘技术实时地发现互联网中存在的威胁,确保互联网的正常运行。
With the rapid development of technologies such as cloud computing, multimedia and big data, people have entered the era of “Internet +”. Internet-based applications have covered online learning, e-commerce, e-government, warehousing and logistics, financial securities, etc. Field, greatly improving people’s ease of work, life and learning, sharing, and promote the human society information and automation. However, the Internet also brings many risks while providing convenience. The Internet access has more and more types of hardware and software equipment and more and more attacks channels for hackers, Trojans and viruses. These Trojan viruses The technical level of attack is also getting higher and higher, and the security threats are hidden for a long time and endangered [1]. Therefore, in order to enhance the security and defense capabilities of the Internet, this paper proposes to build an active security defense system. The system introduces three key functions of risk analysis, security assessment and security response. It uses the big data mining technology to discover the threats in the Internet in real time and ensure The normal operation of the Internet.