Joining technologies & people in future smart cities infrastructure by merging sensors, efectors and intelligence is going to create a rather challenging mixed reality transformation. In this sense, the competition between natural and artificial intelligence is inevitably establishing quite new and interesting society overlaying of humans and technologies with federated domination areas. The results are presently addressing the digital society transformation towards Society 5.0, whilst outreaching the next Society 6.0 expectations. The paper is going to outline a comprehensive analytical intelligence framework (i-framework) for studying the problem, adding a scenario-based proactive analysis, combined with system modelling and results hybrid multicriteria validation. The intelligent part comes from diferent AI models that are implemented in the process, giving supportive and generative added values. Finally, a concluding discussion on the outlined findings is presented.
divide between citizens in the smart urban reality and the
rest of the populated areas. They are going to be
considDigital transformation is expected to afect in practice all ered as a new digital class with advanced capabilities but
ifelds of future society reality, including people and their will be also challenged via joint human-machine threats
residence area, adding also biotope dynamics (to note: cli- in the smart habitat [
Thus, the digital change towards the post-information 2. Analytical "i-Framework"
age is expected to have both - positive and negative
transformational efects on the new Society 5.0 idea [
So, new technologies are going to establish a digital the current "i-framework" implementation is addressing the future smart cities in particular. Being a broad landscape example for security dynamics studying with people & technologies digital transformation, the outlined ifndings could be further used with the broader digital society evolution deeper exploration.
Further in the paper a detailed illustration of the trilateral "i-framework", concerning (2.1) Proactive Analytical Modelling, (2.2) Hybrid Multicriteria Validation & (2.3) Mixed Reality Assessment will be given for the future smart cities’ comprehensive security challenges context exploration.
Achieving proactive analytical modelling is combining
both morphological and system analysis approaches. A
starting implementation of the scenario method, with
expert and reference data, towards the establishment
of plausible and implausible scenario combinations is
accomplished. The result is a cross-consistency matrix
, containing three types of scenarios, in accordance
with their Relative Common Weight – : Active
(tangible), Passive (intangible) & Neutral (probably most
uncertain) [
As this landscape shows quite an uncertain future with mostly implausible scenarios, a deeper analytical causality exploration has been performed toward smart city system sensitivity analysis.
A "system-of-systems" modelling paradigm over an
i-fuzzy weighted graph-based "Entity – Relationship"
representation in I–SCIP-SA environment [
Taking an aggregated analytical representation into a "3D Sensitivity Diagram" – "3D SD" with Influence – x, Dependence – y & Sensitivity – z, due to relations i-fuzzy weights, concerning future smart cities security towards year 2037 (simulated in 10 steps) is finally achieved with 16 entities (addressing social – yellow, technical – blue & mixed – white aspects) & 41 bi-directional relations model (see Figures 3 and 4).
The resulting classification gives four classes for the model entities distribution (with two subclasses for each: Active – white & Passive – grey) in the 3D SD diagram as follows:
Bufering (in green): "Social Credits Score" – 16, being at the same time Passive.
Active (in red): "Smart Infrastructure" – 5, "Transformed Life" – 8, "Mixed Intelligence" – 11, all being Active.
Critical (in yellow): "Super Humans" – 3, "Human Preservation" – 15, both being Passive & "Autonomous AI" – 2, "Data Leakages" – 6, "New Jobs" – 7, "Smart Communication" – 9, "Criminal Activities" – 13 all being Active.
Passive (in blue): "Privacy Concerns" – 1, "World iDomination" – 4, "AI Regulations" – 10, "Hardware Compromising" – 12, "Law Enforcement" – 14 all being Passive.
Further, the presented quantitative classification results could be aggregated in more detail, around several key findings:
(i) That future smart cities will create numerous threats and challenges from their critical infrastructure perspective [10], that could be attacked with diferent vectors: communicational, data & hardware ones. Apart of this, the future superhumans will have a somewhat ambiguous role with new technologically extended capabilities. So, insider security threats are neither to be completely excluded or added by default due to potential technological scenarios with machine-controlled social credits and behaviour that normally are a question of culture and social system respect, whilst trying to keep a non-authoritarian but secured future urban reality.
As the presented expert findings are mostly based on expert analytical beliefs, further AI-assisted validation and assessment will also be given, trying to achieve a comprehensive urban security landscape exploration.
An overall evaluation of the exercise has been performed by the participants (with Positive either Indefinite judgment marks) via a q-based survey, giving feedback for: reality, scenario & interawaring complexity, AI & human factor roles, training satisfaction (see Figure 6).
Being somewhat subjective the obtained results could
be also enriched with biometric & simulation assessments
(see [
More details on these ideas will be given further. influence. 2.2. Mixed Reality Assessment (ii) New jobs and ambitions for intelligent world domination will certainly appear and progress both from pos- The mixed reality assessment of the accomplished anaitive and negative (criminal, manipulative) perspectives, lytical findings (see Section 2.1) was further conducted, adding AI & IoT with new capabilities and challenges; using a transformed reality interactive simulation, orga(iii) Mixing artificial and natural intelligence for future nized in the framework of CYREX 2023 [11]. Assuming smart cities’ security could be quite beneficial except a fictitious scenario events script (generated with human if a superintelligence with negative objectives manages intellect guiding & tailoring Open AI ChatGPT results), to compromise the system due to emergency external interactively played (for about 180 minutes) from the influences (natural or man-made disasters). trainees in several multirole teams, an exploration of (iv) Keeping privacy and humanity present understand- future smart cities security transendents was performed. ings will be quite diferent for the future as the role of AI The main objective of CYREX 2023 exercise was to test & IoT transformation will also demand new ethical and the human-machine inter-awareness in an imaginary social boundaries. context, concerning the future smart cities mixed realAll these findings will hopefully omit the dystopian ity from diferent aspects (both utopian and dystopian people (Y- & Z- generations), joining both human and machine intelligence in the process of decision-making and scenario development, while using a role-based organization, multiple smart gadgets (smartphones, laptops, advanced PCs, smart TVs & interactive screens) and platforms (Windows, Android, iOS). The training was illustrated, combining results of artificially generated images, videos, sounds and popular multimedia clips (assisted with Gencraft, beatovenAI & invideoAI). The approach allows studying of complex security transcendents dynamics in a futuristic mixed reality smart ecosystem, giving excellent training feedback results, especially at organizational and operational levels.
"Other" additional relations and entities. This additional extension could be produced from both human and generative AI hints and supplementary human discussions. With the presented illustrative examples an added human opinions value has been taken from SRS’2023 young international participants in the context of Society 6.0 [13]. The machine-generated added value was produced by taking Open AI ChatGPT feedback with the human responses’ extension, towards machine domination, concerning smart cities’ security near future evolution.
Proactively identifying the future smart cities’ security challenges is a quite complex task that could benefit from both human and machine intelligence joint eforts. Going deeper in the problem normally requires a suitable framework as has been already shown in the present study. Whilst human intelligence is always subjective by nature responsive biometric feedback could be quite helpful with the analytical models’ more detailed assessments. As for the role of AI, it is still at an early stage of development and the dream for a “General AI” is still quite limited. However, it should be honestly marked that the generative AI on the other hand, is quite supportive in the analytical assessment and experimental issues. Thus, providing both a neutral opinion advisor and a rapid prototyping tool that facilitates the exploration eforts’ proactive nature a lot. This clearly shows a positive technological trend for the not so far digital future new social evolution.
The results presented in this study are due to the technological, industrial and expert support obtained in the framework of the international forum initiative “Securing Digital Future 21” with more than sixty countries now, spread around the world, https://securedfuture21.org/ ciety and National Security in the Era of Cyber
Warfare, IGI global, 2016, pp. 377–402. [10] Z. Minchev, Security challenges to critical infrastructure of future smart cities, in: Proceedings of the 9th BISEC Conference, 2019. [11] CYREX 2023 Multimedia Clip, https://youtu.be/
m7mTfvtmtFc, 2023. [12] Z. Minchev, Malicious Future of AI: Transcendents in the Digital Age, in: Proceedings of the 12th
BISEC Conference, 2019, pp. 18–22. [13] International Research Summer School on Mathematics & Informatics - SRS’23, Multimedia Report, https://www.globaldiplomatic.eu/post/ international-research-summer-school-on-mathematics-informatics-srs-23, 2023.