Cyber attacks are increasing in frequency, impact, and complexity, which demonstrate extensive network vulnerabilities
with the potential for serious damage. Defending against cyber attacks calls for the distributed collaborative monitoring,
detection, and mitigation. To this end, we develop a network sensor-based defense framework, with the aim of handling
network security awareness, mitigation, and prediction. We implement the prototypical system and show its effectiveness
on detecting known attacks, such as port-scanning and distributed denial-of-service (DDoS). Based on this framework,
we also implement the statistical-based detection and sequential testing-based detection techniques and compare their
respective detection performance. The future implementation of defensive algorithms can be provisioned in our proposed
framework for combating cyber attacks.