This paper looks at the problem of cybersecurity in modern cyber-physical and information systems and proposes an immune-like approach to the information security of modern complex systems. This approach is based on the mathematical modeling in information security—in particular, the use of immune methods to protect several critical system nodes from a predetermined range of attacks, and to minimize the success of an attack on the system. The methodological approach is to systematize the tasks, means and modes of immunization to describe how modern systems can counter the spread of computer attacks. The main conclusions and recommendations are that using an immunization approach will not only improve the security of systems, but also define principles for building systems that are resistant to cyber attacks. The immunization approach enables a symmetrical response to an intruder in a protected system to be produced rapidly. This symmetry provides a step-by-step neutralization of all stages of a cyber attack, which, combined with the accumulation of knowledge of the attacker’s actions, allows a base of defensive responses to be generated for various cyber attack scenarios. The theoretical conclusions are supported by practical experiments describing real-world scenarios for the use of immunization tools to protect against cyber threats.
The Internet of Things may include sensors, actuators, analyzers, logical controllers, which together form distributed network of heterogeneous devices. Group-based approach to authentication may be relevant when the number of nodes is very large and there are constrained devices among them. Post-quantum schemes as candidates in NIST competition are considered. Lattices are chosen as best candidates for building group-oriented schemes for IoT due to high performance, relatively small key sizes, well researched mathematical problem. To give flexibility to the lattice-based group-oriented authentication protocols, the basis delegation mechanism was considered as an approach that takes into account the hierarchy in the Internet of Things systems.
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