"Network Science and Cybersecurity" introduces new research and
development efforts for cybersecurity solutions and applications
taking place within various U.S. Government Departments of Defense,
industry and academic laboratories.
This book examines new algorithms and tools, technology
platforms and reconfigurable technologies for cybersecurity
systems. Anomaly-based intrusion detection systems (IDS) are
explored as a key component of any general network intrusion
detection service, complementing signature-based IDS components by
attempting to identify novel attacks. These attacks may not yet be
known or have well-developed signatures. Methods are also suggested
to simplify the construction of metrics in such a manner that they
retain their ability to effectively cluster data, while
simultaneously easing human interpretation of outliers.
This is a professional book for practitioners or government
employees working in cybersecurity, and can also be used as a
reference. Advanced-level students in computer science or
electrical engineering studying security will also find this book
useful .
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