IEEE Communication Magazine:
Feature Topic on Bio-inspired Cyber Security for Communications and


- Manuscript submission date: November 1, 2015
- Decision notification date: February 1, 2016
- Final manuscript due date: April 1, 2016
- Publication date: June 2016

Nature is Earth's most amazing invention machine for solving problems
and adapting to significant environmental changes. Its ability to
address complex, large-scale problems with robust, adaptable, and
efficient solutions results from many years of selection, genetic drift
and mutations. Thus, it is not surprising that inventors and researchers
often look to natural systems for inspiration and methods for solving
problems in human-created artificial environments. This has resulted in
the development of evolutionary algorithms including genetic algorithms
and swarm algorithms, and of classifier and pattern-detection
algorithms, such as neural networks, for solving hard computational

A natural evolutionary driver is to survive long enough to create a
next-generation of descendants and ensure their survival. One factor in
survival is an organism's ability to defend against attackers, both
predators and parasites, and against rapid changes in environmental
conditions. Analogously, networks and communications systems use cyber
security to defend their assets against cyber criminals, hostile
organizations, hackers, activists, and sudden changes in the network
environment (e.g., DDoS attacks). Many of the defense methods used by
natural organisms may be mapped to cyber space to implement effective
cyber security. Some examples include immune systems, invader detection,
friend vs. foe, camouflage, mimicry, evasion, etc. Many cyber security
technologies and systems in common use today have their roots in
bio-inspired methods, including anti-virus, intrusion detection, threat
behavior analysis, attribution, honeypots, counterattack, and the like.
As the threats evolve to evade current cyber security technologies,
similarly the bio-inspired security and defense technologies evolve to
counter the threat.

The goal of this feature topic is twofold: (1) to survey the current
academic and industry research in bio-inspired cyber security for
communications and networking, so that the ComSoc community can
understand the current evolutionary state of cyber threats, defenses,
and intelligence, and can plan for future transitions of the research
into practical implementations; and (2) to survey current academic and
industry system projects, prototypes, and deployed products and services
(including threat intelligence services) that implement the next
generation of bio-inspired methods. Please note that we recognize that
in some cases, details may be limited or obscured for security reasons.

Topics of interests include, but are not limited to:
o Bio-inspired anomaly & intrusion detection
o Adaptation algorithms for cyber security & networking
o Biometrics related to cyber security & networking
o Bio-inspired security and networking algorithms & technologies
o Biomimetics related to cyber security & networking
o Bio-inspired cyber threat intelligence methods and systems
o Moving-target techniques
o Network Artificial Immune Systems
o Adaptive and Evolvable Systems
o Neural networks, evolutionary algorithms, and genetic algorithms for
  cyber security & networking
o Prediction techniques for cyber security & networking
o Information hiding solutions (steganography, watermarking) and
detection for network traffic
o Cooperative defense systems
o Bio-inspired algorithms for dependable networks

Articles should be tutorial in nature and written in a style
comprehensible and accessible to readers outside the specialty of the
article. Authors must follow the IEEE Communications Magazine's
guidelines for preparation of the manuscript. Complete guidelines for
prospective authors can be found at
It is important to note that the IEEE Communications Magazine strongly
limits mathematical content, and the number of figures and tables. Paper
length should not exceed 4,500 words. All articles to be considered for
publication must be submitted through the IEEE Manuscript Central site
( by the deadline. Submit
articles to the "June 2016 / Bio-inspired cyber security for
communication and networking" category.

Wojciech Mazurczyk
Warsaw University of Technology

Sean Moore
Centripetal Networks

Errin W. Fulp
Wake Forest University

Hiroshi Wada

Kenji Leibnitz
National Institute of Information and Communications Technology