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Adaptive distributed mechanism against flooding network attacks based on machine learning

机译:基于机器学习的洪泛网络攻击的自适应分布式机制

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It is our great pleasure to welcome you to the 1st ACM Workshop on AISec -- AISec '08. The mission of this new workshop is to stimulate increased collaboration between the Security and AI communities. It is our strong belief that such collaboration is the best route towards fully realizing the security and privacy benefits of today's ubiquitous information. >The call for papers attracted 20 submissions from Asia, Canada, Europe and the United States. The program committee accepted 7 research papers and 2 position papers covering a variety of topics, including usable access control and authentication, malware and network attack defense and reputation systems. In addition, the program includes two exciting invited talks. The first is by Dr. Chris Clifton of Purdue University; a prominent leader in both the privacy and data mining communities. The second is by Dr. Carl Landwehr, IARPA and University of Maryland. Dr. Landwehr is very well-known for his information assurance research and currently is the Program leader for the National Intelligence Community Information Assurance Research at IARPA, a program with many challenging problems intersecting both Security and AI. >We give our heartfelt thanks to the program committee and external reviewers. It is quite challenging crafting a program for a cross-disciplinary conference. The program committee made significant strides in defining this largely new field of research and in soliciting relevant and novel research contributions, and all the reviewers worked very hard to give useful and insightful feedback to the authors.
机译:我们非常高兴地欢迎您参加有关AISec的第一届ACM研讨会-AISec '08 。这个新研讨会的任务是促进安全和AI社区之间的合作。我们坚信,这种合作是充分实现当今无处不在的信息的安全性和隐私利益的最佳途径。

征集论文的呼吁吸引了来自亚洲,加拿大,欧洲和美国的20篇论文。程序委员会接受了7个研究论文和2个立场论文,涉及各种主题,包括可用的访问控制和身份验证,恶意软件和网络攻击防御和信誉系统。此外,该计划还包括两个激动人心的邀请演讲。首先是普渡大学的克里斯·克利夫顿博士。隐私和数据挖掘社区的杰出领导者。第二位是IARPA和马里兰大学的Carl Landwehr博士。 Landwehr博士以其信息保证研究而闻名,目前是IARPA国家情报社区信息保证研究的项目负责人,该计划存在许多与安全性和AI相交的难题。

我们感谢计划委员会和外部审核人员。为跨学科会议制定程序是非常具有挑战性的。计划委员会在定义这一新的研究领域以及征求相关和新颖的研究成果方面取得了长足的进步,所有审稿人都非常努力地向作者提供有用且有见地的反馈。

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