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Adaptive Deception Networks with Real-Time Topology Morphing

Author(s) Adedayo Bello
Country United Kingdom
Abstract The rapid development of cyber-attacks have brought demand on the fore the weaknesses of conventional forms of cyber security protections which heavily depend on static and predetermined rules and fixed network configurations. With the intelligence of adversaries who unfortunate like have progressed incredible persistent threats, (APTs), zero-day exploits, and social engineering, static defenses often fail to mitigate attack which change with time. As such, the need is currently felt more for dynamic and adaptive defense mechanism which could constantly evolve in meeting these threats. One promising solution to this is the concept of Adaptive Deception Networks (ADNs), which is aimed at confusing and misleading attackers by dynamically reigning the behavior of the system. This is an adaptive strategy in case the adversaries try to map the network, which would make their reconnaissance and attack attempts ineffective.
A very important part of ADNs is real time topology morphing which is the process of continuously and dynamically changing the topology of a network. By changing the interconnections between nodes, this technique provides a moving target to attackers, which prevents them from getting concept of what the system's architecture is like. Real-time topology morphing makes it more difficult for the attacker in that the attacker now has to constantly adapt to a shifting landscape. This paper examines real-time topology morphing integration into ADNs through cyber-physical systems (CPS), autonomous systems and other critical infrastructures.
The research reported in this paper deals with the combination of multi-agent systems (MAS) with ADNs, aim of automating and controlling the changes of the topology. By using so-called event triggered consensus control, several agents can cooperate to ensure that the system adapts in real-time and that it still keeps its synchronization and stability. This paper introduces an overall design in order to form a single consistent structure, which not only can support the functional of real-time topology morphing, but also can guarantee the coherence and scalability of the system. The study also deals with issues involved in implementing such a dynamic approach into large scale systems such as issues such as performance degradation, synchronization of the agents, and resource allocation. The possible findings are part of the ongoing research in adaptive cybersecurity defenses, which can provide insights on how to use dynamic deception strategies to make the critical infrastructure system more resilient.
Keywords Adaptive Deception Networks, Cybersecurity, Real-Time Topology Morphing, Multi-Agent Systems, Deception Attacks, Network Defense, Cyber-Physical Systems, Autonomous Systems, Consensus Control.
Field Engineering
Published In Volume 3, Issue 11, November 2022
Published On 2022-11-05
DOI https://doi.org/10.70528/IJLRP.v3.i11.1954
Short DOI https://doi.org/hbphmb
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