NDLI: Bionic Autonomic Nervous Systems for Self-Defense against DoS, Spyware, Malware, Virus, and Fishing

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ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 11

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ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 9

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Bionic Autonomic Nervous Systems for Self-Defense against DoS, Spyware, Malware, Virus, and Fishing

Modeling and Defending against Adaptive BitTorrent Worms in Peer-to-Peer Networks

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ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 6

ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 5

ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 4

ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 3

ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 2

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Bionic Autonomic Nervous Systems for Self-Defense against DoS, Spyware, Malware, Virus, and Fishing

Content Provider	ACM Digital Library
Author	Dai, Y. S. Xiang, Y. P. Pan, Y.
Copyright Year	2014
Abstract	Computing systems and networks become increasingly large and complex with a variety of compromises and vulnerabilities. The network security and privacy are of great concern today, where self-defense against different kinds of attacks in an autonomous and holistic manner is a challenging topic. To address this problem, we developed an innovative technology called Bionic Autonomic Nervous System (BANS). The BANS is analogous to biological nervous system, which consists of basic modules like cyber axon, cyber neuron, peripheral nerve and central nerve. We also presented an innovative self-defense mechanism which utilizes the Fuzzy Logic, Neural Networks, and Entropy Awareness, etc. Equipped with the BANS, computer and network systems can intelligently self-defend against both known and unknown compromises/attacks including denial of services (DoS), spyware, malware, and virus. BANS also enabled multiple computers to collaboratively fight against some distributed intelligent attacks like DDoS. We have implemented the BANS in practice. Some case studies and experimental results exhibited the effectiveness and efficiency of the BANS and the self-defense mechanism.
Starting Page	1
Ending Page	20
Page Count	20
File Format	PDF
ISSN	15564665
e-ISSN	15564703
DOI	10.1145/2567924
Volume Number	9
Issue Number	1
Journal	ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-03-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Autonomic computing Artificial intelligence Machine learning Self-defense
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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