Towards Autonomic Enterprise Security : Self-Defending Platforms , Distributed Detection , and Adaptive Feedback Autonomic Computing

@inproceedings{Agosta2006TowardsAE,
  title={Towards Autonomic Enterprise Security : Self-Defending Platforms , Distributed Detection , and Adaptive Feedback Autonomic Computing},
  author={John Mark Agosta and Jaideep Chandrashekar},
  year={2006}
}
Enterprises today face a constant barrage of security threats stemming from worms, viruses, trojans, and other malware. This is in spite of significant levels of investment in defenses such as firewalls and anti-virus and anti-spam products. Dealing with these attacks cost U.S. businesses over $67 billion last year. To make things worse, malware designers are staying slightly ahead of the game with a visible trend emerging of malware becoming stealthier and much harder to detect. Successfully… CONTINUE READING
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