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      <title-group>
        <article-title>Proactive Identification of Future Cyber Threats</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Zlatogor Minchev</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>IT for Security Department, Institute of ICT, Bulgarian Academy of Sciences</institution>
          ,
          <addr-line>Sofia</addr-line>
          ,
          <country country="BG">Bulgaria</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>Understanding the new digital world naturally requires a suitable approach for proactive identification of future cyber threats in the new mixed reality of people, technologies and biotope symbiotic joining. The paper outlines a methodology for joint exploration of cyber threats, using both expert and machine intellect. Further, a combined assessment is performed on the accomplished results with a simulated futuristic environment, adding human-in-the-loop biometric response. Finally, a wrap-up discussion is performed for the obtained results.</p>
      </abstract>
      <kwd-group>
        <kwd>eol&gt;Proactive Cyber Threats Identification</kwd>
        <kwd>Mixed Reality Approach</kwd>
        <kwd>Combined Results Assessment</kwd>
        <kwd>Human-In- The-Loop Biometric Response</kwd>
      </kwd-group>
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      <title>-</title>
      <p>1. Introduction
curity from both technological and human perspectives.</p>
      <p>Whilst new complex APT attacks [8] are combined with
Future security dynamics proper understanding in the the cognitive overload, attention deficit and parallel
diginew digital age is already a rather comprehensive objec- tal existence for the humans [9], the technological part
tive for direct achievement. In fact, the new extended of this new reality is also challenged with new smart
reality, joining virtual, objective, augmented and mixed adversaries. Advanced DDoS attacks, intelligent
malperspectives of one and the same security landscape have ware, complex ransomware and imperfection gaps from
to be studied from multiple perspectives [1]. Within the the evolving smart systems are severely threatening the
last several years, the utopian digital society develop- smart infrastructure. The process becomes obviously
hament [2] has been seriously disturbed by several major bitual to the transformed digital lifestyle, especially with
stressors: COVID-19 pandemic, new wars (both in Syria the new generations [10, 11]. Soon, it is going to become
and in Europe – the Ukrainian ones), resulting refugees’ really dificult to secure the new extended reality without
lfaws and asylum seekers [ 3]. Additional social negative the technological advances that however need adequate
dynamics with economics, fossil fuels lacking, and tech- smart joining to the human intellect, aiming future
diginological microchips deficit, adding also climate changes tal society resilience. Here however the natural boundary
doom prognosis are building a really not so bright future of moral, ethics and regulations appear in the security
for the new 21-st century beginning [4]. In this sense, the discussion [12]. As though technological progress is
certechnological progress of IoTs, AI, robots, avatars, ubiqui- tainly and important moment of our civilization
evolutous communications and their accompanying new smart tion, the human advancing (including DNA engineering,
services [5] could be considered as a positive moment technological implants &amp; assisted knowledge access) and
in the post-information society (by means of a society privacy digitalization (memories, emotions, experiences,
with implausible stressors significant transformational etc.) stay of vital importance [6]. The situation could
efect) building and transformation. Though this new ex- become even more complex with machines advancing
tended reality establishment, considered as an innovative and deeper emersion in our life [13] (taking not only
metaverse ideas incubator, the role of the human intellect unpleasant, either dangerous or monotonous jobs [14]),
stays dominant [6]. A supportive evidence in this con- aiming singularity (total domination, starting now with
text are the social networks advancing with numerous society managing or vital decisions taking) in the not so
gadgets (both with Web 3.0 &amp; Web 4.0) but still led and far future [15]. Trying to foresee properly the future of
addressing the humans [6]. Evidently, human- machine the post-information age and successfully meeting the
interawarding is approaching us indispensably in the utopian and dystopian perspectives of our society
transnew era of transhumanization with hybrid physical and formation in the new digital age is of key importance
mental capacity augmentations [7]. Going even deeper for studying the security landscape transformation in
in this reality, naturally opens the question of cyber se- a proactive and comprehensive manner. Merging both
human intellect with machine algorithms, further in the
paper a triplet framework approach will be outlined,
towards the next 10–15 years, when machines are expected
to become smarter but human spices evolutionary change
will create a more resilient and sustainable extended
reBISEC’22: 13th International Conference on Business Information
Security, December 03, 2022, Belgrade, Serbia
* Corresponding author.
$ zlatogor@bas.bg (Z. Minchev)</p>
      <p>© 2023 Copyright for this paper by its authors. Use permitted under Creative Commons License
CPWrEooUrckReshdoinpgs IhStpN:/c1e6u1r3-w-0s.o7r3g ACttEribUutRion W4.0oInrtekrnsahtioonpal (PCCroBYce4.0e).dings (CEUR-WS.org)
the computational power and memory resources
allocation, the alternatives with the diferent dimensions
should be mutually exclusive.</p>
      <p>The scenario analytical results towards 2037, could be
ality, especially for the new, mixed ecosystem security briefly summarized as follows:
transcendents successful handling. The most intangible scenarios for the future will address
transhumanization and the resulting future digital
soci2. Triplet Framework Approach ety reorganization due to the transformation of smart
machines, i.e., moving from AI supportive role, to a
potenThe presented exploration framework (based on the ideas tially dominant one [6, 18]. Additionally, a federated new
from [1], see Figure 1) is considered as a triplet, giving reality is expected to be created due to general resources
both forward and backward future assessment, with three access equal limitation, fostered with climate changes
diferent perspectives, but: (i) modelling (using expert and technological availability, providing reality mixing
and reference data for modelling &amp; analysis), (ii) simu- and total connectivity in an uneven manner.
lation (implementing machine algorithms towards the The new social behaviour will be mostly afected by
future) and (iii) observation (monitoring biometric set living parallelism and information overload that will
cerwith extended realities mix) ones. Finally, some selected tainly require a new hybrid security (joining human &amp;
results comparison is presented and discussed. machine intellect) handling with future smart machines
and infrastructure significant role [ 1]. However, AI
evo2.1. Modelling Perspective lution and IoT deeper immersion in the new ecosystem of
humans, machines and biotope will be somewhat
boundInitial building of a security landscape, concerning the ing the upcoming human-machine clashes and fostered
future digital transformation efects could be achieved by post- information evolution, supporting the
establishcombining morphological &amp; system analysis [16]. The ment of a future smart society and people.
idea is at first implementing the scenario method, with The tangible scenarios will be mainly related to new
expert and reference data, towards the establishment of a smart services and technological innovations aiming a
plausible &amp; implausible scenario combinations [17]. The peaceful human-machine coexistence with a fostered
ifnal result is a cross-consistency matrix  , containing smart economy and new hybrid (addressing both
huthree types of scenarios, in accordance with their Rela- mans &amp; machines) regulations necessity that is expected
tive Common Weight –  : Active (tangible), Passive to successfully handle the new huge data flow but also
(intangible) &amp; Neutral (probably most uncertain). challenged with advanced (by means of AI &amp; IoTs) types</p>
      <p>The total number  * = 136080 ( * = 7 × 6 × 6 × of human-machines clashes.
5 × 4 × 3 × 3 × 3; plausible –  1* = 13420 &amp; implau- Luckily, the total digitalization idea and biohacking are
sible ones –  2* = 122660; from  1* are additionally expected to be kept under control, though the ambitious
selected: Active, i.e. – “tangible” (11186,  &gt; 0), development of AI is already addressing human traits
Passive, i.e. – “intangible” (2000,  &lt; 0) &amp; Neutral (to note: emotion, creativity, imagination, intuition, etc.)
(234,  = 0) scenarios) [1]. digitalization [7]. The new hybrid senses advancement</p>
      <p>The identified transcends, constructing a scenario sam- [13] is already a fact for the future transhumans [19],
ple of interest are encompassing: “Driving Alternative” claiming to support the successful handling of cognitive
-&gt; “Challenge Alternative” -&gt; “Adversary Alternative”- overload and digital fatigue in the new hyperreality.
&gt; “Divide Alternative” -&gt; “Opportunity Alternative” -&gt; Additionally, neutral scenarios, concerning the
un“Ambiguity Alternative” -&gt; “Contradictions Alternative”. planned external impacts could be marked, though quite
Whilst the size of the matrix  is platform limited with uncertain, also producing potential new stressors, like
current</p>
      <p>COVID-19 pandemic, either additional other natural or
man-made stressors (new wars, refugees’ flaws, natural
disasters, etc.) that is going to change the normal society
cyclic dynamics, or governance order [3, 20].</p>
      <p>Further, adding causality in the modelling perspective,
a holistic outlook to the digital transcendents future
evolution with the next 10-15 years has been obtained with
system-of-systems holistic idea [21].</p>
      <p>By implementing Entity-Relationship ( − )
representation and probabilistic Bayesian assessment of the
relations weights for efectiveness (studying causality
feed-forward efectiveness –  and feed-backward –
 ratio usage), following [9] a resulting 3D System
Efectiveness Diagram is giving a resulting model classification
towards year 2037 in I-SCIP-EA environment [1]. 2.2. Simulation Perspective</p>
      <p>Two main types of model entities resulting classifica- As holistic systems complexity is somewhat conditional
tion, with diferent roles are produced as follows: to the transformational context, better understanding of</p>
      <p>Perpetual: “Embodied IoTs” – 1, “Internal Drivers” – the models on the future transcendents role, naturally
re15, “Joint H-M Regulations” – 18, all three expected to quires a joint consideration of system and morphological
be active; “Digital Economy” – 8; “Huge Data” – 11; “Re- analysis results in a dynamic sense.
alities Mixing” – 16, “Digital Lifestyle” – 17, “Smart Cul- What however needs to be stated here are the
objecture_Religion” – 19, all five expected to be passive; tives for future transformational changes (e.g.:
techno</p>
      <p>Intermittent: “Advance Robots_Avatars” – 3, “Ubiq- logical domination on humans, resource federated world,
uitous AI” – 4, “Smart Markets_Services” – 9, “Hybrid climate changes technological handling) that need to be
Security”– 10, “External Impacts”– 14, all five expected stated and evaluated for a feasibility within both scenario
to be active; “Transformed People” – 2, “Smart Gover- context and system-of-systems models joining.
nance” – 5, “Edutainment” – 6, “Smart Ecosystem” – 7, So, using both human objective beliefs and machine
“Digital Transformation” – 12, “Future Media” – 13, all simulations for the future could be fused as follows:
six expected to be passive. (i) system models dynamics probabilistic distribution</p>
      <p>Obviously, the transcending efects of digital change approximation fitting, based on their relations in the E-R
to transformed people, smart governance, edutainment, sense (taking into account the Forrester’s simplifications
new smart ecosystem (joining people, technologies &amp; [25]) with a certain time horizon;
biotope) and future smart media will be quite uncertain (ii) extending results from (i) with multiple time
horiand intermittent – thus rather complicated for efective zons in the Kondratiev sense [26], using a four-cycle stage
securing due to multiple social and technical profound
interpretation: Prosperity, Recession, Depression,
Improvement [9]. The dynamic stochastic assessment with
the multiple time horizons could be explored both with
base oscillators concept [27] or quantum tunnelling
simulation [28], in case of preliminary order S-wave phases
change due to external stressors (like: COVID-19
pandemic, either additional other natural or man-made
stressors).</p>
      <p>As it was already stated before, multiple system
characteristics, could be studied with this approach (sensitivity,
utility, risk, efectiveness, etc.), using diferent
probabilistic representations [29], whilst the idea here is to consider
the system efectiveness –  (see Figure 7), following Figure 6: Dynamic quantum tunnelling idea with
diferthe model from Figure 3. ent phases duration Δ &amp; switching thresholds Θ between</p>
      <p>Some Illustrative examples, concerning selected enti- phases, caused with implausible stressors.
ties with holistic system model results from Figure 3 are
given below:</p>
      <p>As properly assessing future holistic model evolution 2.3. Observational Perspective
is somewhat uncertain, a supplementary entity “Other”
has been added in order to omit unfeasible subsystem The implementation of this perspective could be arranged
heuristic solutions, because the complete system evolu- with diferent viewpoints [ 1] but in practice the idea
retion could be unstable, either contradictory one. quires an interactive human factor observations in a
fu</p>
      <p>Next, in order to get more comprehensive results fu- turistic environment, with resulting key outlines. In this
ture assessment from deductive perspective (whilst so sense, recently two kinds of experimental observations
far, the framework is working only inductively, assuming have been performed and will be further described.
a certain future scenario context definition both in static
and dynamic sense) an observation with multiple biomet- 2.3.1. Simulated Exploration
rics responses and contexts have been added, producing
an experimental results future proactive verification per- Based on imaginary future reality recreation, either
buildspective. ing still non-existing simulated realities, following the
“simulacra” concept [30]. Virtual, augmented and mixed up) EEG Relative Power Spectrum –   (resulting of
realities are combined, providing possibility for multi- six leads after Jasper 10/20 placement scheme: F3, F4, C3,
modal extended reality interacting (using special gadgets, C4, P3, P4, [31]) changes, by using a 3D monitor with
like: glasses, helmets, joysticks, clothes, biometric con- active glasses (because of montage physical limitations
trollers). User multiple observations are performed with of the head electrodes, not possible to be combined with
diferent human-in-the-loop biometric responses, trying VR glasses), after [32] and GSR (from dominant hand
to better understand this new futuristic reality transfor- D3 &amp; D4 fingers) adapted H iguchi Fractal Dynamics –
mational perspectives.   [16] measuring has been taken and synchronized</p>
      <p>Some illustrative results, regarding the set-up process in a reasonable interval with stimuli. All experimental
and simulated exploration are presented in Figure 8 &amp; recordings have been taken while the volunteers were
Figure 9. The idea is accomplishing short multimedia sitting calm in a comfortable position. No particular
volstimulations (about 3 min each, with 5 min resting pause untary movements or other expressive responses were
between the series) in a virtual reality (using HTC VIVE requested.</p>
      <p>Pro system), concerning four scenario combinations (Fu- The experimental set-ups are trying to identify
bioture Habitat, Future Cooking, Digital Fashion &amp; Smart Cin- metric correlations with futuristic multimedia tailored
ema). About 25 healthy volunteers (18 men &amp; 7 women, background stimuli. A supplementary psychology
evaluaaverage age 43 ± 7; reporting a normal healthy status tion based on Eysenck’s personality (assuming: extrovert,
and tested for side efects, like: vertigo, disorientation, introvert &amp; ambivert tuple of classification) and Lüscher
dizziness or headache exclusion on the environment set- color motivation assessment have been compared with
self- reporting of key entities (resulting from
multimedia stimulations, remembered about 10 min after the
experiments), trying to achieve context comprehensive
understanding (see [33] for some more details).
2.3.2. Real-World Social Experiments
The experiments have been performed relying on human
personality traits and skills transformation changes
observation, while clashing with smart technologies both
in short and longer time frames with group events, like:
table top exercises, round tables, training workshop
exercises and summer schools (see Figure 10).</p>
      <p>The presented idea is a rather useful one but somewhat
resource consuming, requiring: human, technologies,
time, economic and knowledge sustainable investments.</p>
      <p>Here, it should be noted that digital transformation
in itself and COVID-19 pandemic efects to the
postinformation age, together with recent climate crisis and
wars could be also considered as live real-world experi- Figure 11: Generalized results on imaginary reality &amp; AI role
ments on modern assessments with SRS’2022, towards 2037, [34].</p>
      <p>society adaptation and response to dynamic external
stressors [20, 24].
2.4. Discussion
Innovative technologies progress, transhumanization and
intelligent biotope closer and advanced interawaring
with smart elements, added due to AI evolutionary
algorithms and ultraconnected IoTs are obviously establishing
a new transcended and already preferred hyperreality
mix. The future transhuman cyber traits will certainly
attack our extended senses, skills and capabilities in this
new hyperreality, joining also smart machines’ advanced
knowledge and dual role (attack &amp; defense) to the new
digital mixed ecosystem securing. In this sense, the
transformed digital society lifestyle will definitely look quite
diferent from now, especially with extended role of AI
in multiple smart gadgets, robots and avatars, assisting
and securing the society with multiple areas. Due to the
extended ultraspeeded and deeply emersed with future
humans hyperreality the new generations consciousness,
behaviour and other personal traits are going to be
dramatically transformed, providing new digital people (also
marked as “transhumans”) with extended capacity and
understandings but adding also diferent mental and
cognitive disorders. Finally, it should be noted that this
hyperreality mix and digital people (resulting from the
transformation) should be taken with the understanding for a
new living advanced digital ecosystem. While, assuming
naturally mistakes, uncertainties and transcendents
appearance that need to be properly handled and studied in
the dynamic context of the future post-information age,
resulting currently mostly of pandemic but also and
collaborating with other new stressors’ turbulent role. The
process becomes even more complicated with proactive
exploration necessity that obviously need to merge both
human advanced capabilities with general AI algorithms
towards singularity or at least successful coping of new
unprecedented natural and machine system stressors.
related fields, Lippincott Williams &amp; Wilkins, 2005.
[32] Z. Minchev, Security challenges to critical
infrastructure of future smart cities, Proc. of BISEC’2019
(2019).
[33] Z. Minchev, Public opinion influence through
electronic propaganda activities, in: Building Cyber
Resilience against Hybrid Threats, IOS Press, 2022,
pp. 60–70.
[34] S. D. F. 21, The secure digital future 21 initiative,
2017. URL: http://securedfuture21.org/.</p>
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