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As computing and communication systems continue to expand and offer new services, these advancements require more dynamic, diverse, and interconnected computing infrastructures. Unfortunately, defending and maintaining resilient and trustworthy operation of these complex systems are increasingly difficult challenges. Conventional approaches to Security, Trust, Assurance and Resilience (STAR for short) are often too narrowly focused and cannot easily scale to manage large, coordinated and persistent attacks in these environments. Designs found in nature are increasingly used as a source of inspiration for STAR and related networking and intelligence solutions for complex computing and communication environments. Nature's footprint is present in the world of Information Technology, where there are an astounding number of computational bio-inspired techniques. These well-regarded approaches include genetic algorithms, neural networks, ant algorithms, immune systems just to name a few. For example several networking management and security technologies have successfully adopted some of nature’s approaches, such as swarm intelligence, artificial immune systems, sensor networks, moving target defense, diversity-based software design, etc. Nature has also developed an outstanding ability to recognize individuals or foreign objects and adapt/evolve to protect a group or a single organism. Solutions that incorporate these nature-inspired characteristics often have improved performance and/or provided new capabilities beyond more traditional methods. The aim of this BioSTAR workshop is to bring together the research accomplishments provided by the researchers from academia and the industry. The other goal is to show the latest research results in the field of nature-inspired STAR aspects in computing and communications.

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Topics of interests include, but are not limited to:

  • Nature-inspired anomaly and intrusion detection
  • Adaptation algorithms
  • Biometrics
  • Nature-inspired algorithms and technologies for STAR
  • Biomimetics
  • Artificial Immune Systems
  • Adaptive and Evolvable Systems
  • Machine Learning, neural networks, genetic algorithms for STAR
  • Nature-inspired analytics and prediction
  • Cognitive systems
  • Sensor and actuator networks and systems
  • Information hiding solutions (steganography, watermarking) for network traffic
  • Cooperative defense systems
  • Cloud-supported matire-inspired STAR
  • Theoretical development in heuristics
  • Management of decentralized networks
  • Nature-inspired algorithms for dependable networks
  • Platforms for STAR services
  • Diversity in computing and communications
  • Survivable and sustainable systems
  • STAR management systems
  • Autonomic cyber defenses
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重要日期
  • 会议日期

    05月22日

    2016

    05月26日

    2016

  • 05月26日 2016

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