BioSTAR 2018 - 3rd International Workshop on Bio-inspired Security, Trust, Assurance and Resilience

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.
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 nature-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