We are delighted to announce that this year BioSTAR keynote will be given by: Nina Fefferman, Rutgers University
and its title is: Evolving Efficient Solutions: How simple natural systems solve the most complicated problems

Abstract: Nature is replete with biological systems of very simple agents that need to solve incredibly complicated problems in order to survive. Contrary to popular belief, evolutionary systems rarely produce algorithms that find optimal solutions - instead, they produce efficient algorithms to find sufficient solutions. There are three main ways this is accomplished in nature: proximate cues, distributed decisions, and error convergence. We'll explore each of these mechanisms and how they work synergistically in nature. We'll then discuss how human-designed systems that turn to biological systems for inspiration may benefit from explicitly discussing these underlying mechanisms, rather than looking to individual biological systems for appropriate case-by-case analogies to solve technological problems.


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


Papers will be accepted based on peer review (3 per paper) and should contain original, high quality work. All papers must be written in English.

Authors are invited to submit Regular Papers (maximum 6 pages) via EasyChair. Papers accepted by the workshop will be published in the Conference Proceedings published by IEEE Computer Society Press.

Papers must be formatted for US letter (not A4) size paper with margins of at least 3/4 inch on all sides. The text must be formatted in a two-column layout, with columns no more than 9 in. high and 3.375 in. wide. The text must be in Times font, 10-point or larger, with 12-point or larger line spacing. Authors are encouraged to use the IEEE conference proceedings templates found here. Failure to adhere to the page limit and formatting requirements will be grounds for rejection.

The extended versions of all accepted papers will be considered for publication in a special issue of the Journal of Cyber Security and Mobility (confirmed!) or EURASIP Journal on Information Security (confirmed!).


  • January 31, 2017 (EXTENDED!): Regular Paper Submission [submission link]
  • February 22, 2017 (EXTENDED!): Notification Date
  • March 15, 2017: Camera-Ready Paper Deadline


09:00AM - 09:15AM - BioSTAR Welcome & Opening Remarks

09:15AM - 10:15AM - Keynote: Nina Fefferman, Rutgers University, Title: Evolving Efficient Solutions: How simple natural systems solve the most complicated problems

10:15AM - 10:45AM - Workshops Break

10:45AM - 12:15PM - BioSTAR Session #1
Konstantin Boettinger. Guiding a Colony of Black-box Fuzzers with Chemotaxis
Hisham Salah and Mohamed Eltoweissy. On the Personalization of Trust Management
Joerg Keller, Gabriele Spenger and Steffen Wendzel. Ant Colony-inspired Parallel Algorithm to Improve Cryptographic Pseudo Random Number Generators

12:30PM - 01:15PM - Workshops Lunch

01:15PM - 02:15PM - BioSTAR Panel: Will bio-inspired STAR solutions pervade the IoT universe?
Moderator: Mohamed Eltoweissy, Virginia Military Institute

02:15PM - 03:15PM - BioSTAR Session #2
Ruidan Li and Errin Fulp. Evolutionary Approaches for Resilient Surveillance Management
Steffen Wendzel, Wojciech Mazurczyk and Georg Haas. Don't You Touch My Nuts: Information Hiding In Cyber Physical Systems Using Smart Buildings
Errin Fulp, Howard Gage and Matthew McNiece. Using Evolutionary Diversity to Identify Problematic Software Parameters

03:15PM - 03:45PM - Workshops Break

03:45PM - 05:00PM - BioSTAR Session #3
Brian Powell, Ekampreet Kalsy, Gaurav Goswami, Mayank Vatsa, Richa Singh and Afzel Noore. Attack-Resistant aiCAPTCHA using a Negative Selection Artificial Immune System
Yudong Liu, Jamison Rose and Ahmed Awad. Biometric Authentication using Mouse and Eye Movement Data
Ankur Chattopadhyay, Michael Schulz, Clinton Rettler, Katie Turkiewicz, Laleah Fernandez and Askar Ziganshin. Towards a Biometric Authentication-based Hybrid Trust-computing Approach for Verification of Provider Profiles in Online Healthcare Information

05:00PM - 05:15PM - BioSTAR Closing Remarks


Wojciech Mazurczyk, Warsaw University of Technology, Poland
Errin W. Fulp, Wake Forest University, NC, USA
Mohamed Eltoweissy, Virginia Military Institute, USA
Kenji Leibnitz, National Institute of Information and Communications Technology, Japan

Eitan Altman, INRIA Sophia-Antipolis, France
Tomasz Andrysiak, University of Technology and Life Sciences, Poland
Elias Bou-Harb, National Cyber Forensics and Training Alliance (NCFTA) & Concordia University, Canada
Luca Caviglione, ISSIA, CNR, Italy
Eric Chan-Tin, Oklahoma State University, USA
Michal Choras, University of Technology and Life Sciences, Poland
Ruairi De Frein, Royal Institute of Technology, Sweden
Eduardo Feo, Dalle Molle Institute for Artificial Intelligence, Switzerland
Julie Greensmith, University of Nottingham, UK
Kay Hamacher, Technische Universitat Darmstadt, Germany
Artur Janicki, Warsaw University of Technology, Poland
Joerg Keller, FernUniversitaet in Hagen, Germany
Maciej Korczynski, Delft University of Technology, The Netherlands
Igor Kotenko, SPIIRAS, Russia
Jean-Francois Lalande, Inria, Univ. Rennes 1, INSA Centre Val de Loire, Univ. Orleans, France
Kenji Leibnitz, National Institute of Information and Communications Technology, Japan
Sean Moore, Centripetal Networks, USA
Tadashi Nakano, Osaka University, Japan
Michele Nogueira, Federal University of Parana, Brazil
Christopher S. Oehmen, Pacific Northwest National Laboratory, USA
Marinella Petrocchi, IIT, CNR, Italy
Mayank Raj, IBM, USA
Siva Rajagopalan, Honeywell, USA
Hui Tian, National Huaqiao University, China
Steffen Wendzel, Fraunhofer FKIE, Germany
Chenyu Zheng, University of Colorado, USA


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