A Bio-Inspired Hybrid Artificial Intelligence Framework for...

A Bio-Inspired Hybrid Artificial Intelligence Framework for Cyber Security

Konstantinos Demertzis#, Lazaros Iliadis*
Democritus University of Thrace, Department of Forestry & Management of the Environment & Natural Resources

Abstract: Confidentiality, Integrity and Availability of Military information is a
crucial and critical factor for a country’s national security. The security of military
Information Systems (MIS) and Networks (MNET) is a subject of continuous
research and design, due to the fact that they manage, store, manipulate and distribute
the information. This study presents a Bio-Inspired Hybrid Artificial Intelligence
Framework for Cyber Security (bioHAIFCS). This framework combines timely and
bio inspired Machine Learning methods suitable for the protection of critical network
applications namely military information systems, applications and networks. More
specifically, it combines a) the Hybrid Evolving Spiking Anomaly Detection Model
(HESADM), which is used in order to prevent in time and accurately, cyber-attacks,
which cannot be avoided by using passive security measures namely: Firewalls, b) the
Evolving Computational Intelligence System for Malware Detection (ECISMD) that
spots and isolates malwares located in packed executables untraceable by antivirus c)
the Evolutionary Prevention System from SQL Injection (ePSSQLI) attacks, which
early and smartly forecasts the attacks using SQL Injections methods.


I believe this is the acquisition Brainchip will be making shortly.


If you look at Bob Beachlers post regarding the Akida Development Environment, the author of the article above has liked it:

https://www.linkedin.com/feed/update/urn:li:activity:6427678545933406208