2019年7月17日，美国网络司令部发布了一份包含12个类别的39个挑战问题清单，其中包括：漏洞，恶意软件，利用，植入，态势感知，能力开发，角色，狩猎，任务管理，攻击，安全和区块链等。
该文件由美国网络司令部技术副主任Berl“Mike”Thomas发布。“这些技术挑战问题不是我们预期今天存在解决方案的要求。相反，它们是我们当下面临的重大技术挑战，需要网络空间开发人员以新颖的方式使用现有功能，添加新功能，创新或推动新的研究，”该文件说。
在其他挑战中，美国网络司令部（CyberCommand）表示需要更快地修补漏洞，快速反向设计恶意软件，对恶意软件进行开源研究，改进网络活动报告，获取有效的自动化和分析能力，构建和培训机器学习模型以帮助检测和反恶意软件感染，利用人工智能增强网络人员能力，快速制作原型解决方案，识别对手使用虚假角色，自动执行任务风险管理，利用商业云解决方案进行攻击，并开展开源研究，开发能够抵御对抗性使用的原型加密货币和加密货币挖掘。
U.S. CyberCommand Lists Technical Challenge Areas
July 17, 2019
Posted by George I. Seffers
Officials believe no solutions currently exist.
The U.S.Cyber Command has released a list of 39 challenge problems fitting under 12categories: vulnerabilities, malware, analytics, implant, situationalawareness, capability development, persona, hunt, mission management, attack,security and blockchain.
The document was released by the CyberCommand deputy director for technology, Berl “Mike” Thomas. “These TechnicalChallenge Problems are not requirements for which we anticipate solutions existtoday. Rather, they are significant challenges which will require developers touse existing capabilities in novel ways, add new features, innovate, or drivenew research,” the document says.
Among otherchallenges, Cyber Command says it needs a to patch vulnerabilities morequickly, rapidly reverse engineer malware, conduct open source research onmalware, improve reporting on network activities, acquire effective automationand analytics, build and train machine learning models to help detect and countermalware infections, augment the cyber workforce with artificial intelligence,rapidly prototype solutions, recognize adversarial use of false personas,automate mission risk management, leverage commercial cloud solutions toconduct attacks, and conduct open source research to develop prototypes capableof countering adversarial use of cryptocurrency and cryptocurrency mining.
The fulldocument can be found here.
https://www.afcea.org/content/us-cyber-command-lists-technical-challenge-areas
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