2020
DOI: 10.1002/ett.3954
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A context‐aware and intelligent framework for the secure mission critical systems

Abstract: Recent technological advancements in pervasive systems have shown the potential to address challenges in the military domain. Research developments in military-based mission-critical systems have refined a lot as in autopilot, sensing true target behavior, battle damage conditions, acquiring and manipulating command control information. However, the application of pervasive systems in the military domain is still evolving. In this paper, an intelligent framework has been proposed for mission-critical systems t… Show more

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Cited by 4 publications
(3 citation statements)
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“…50 Here, S is said to be log-normally distributed with mean displacement 𝜇 as a drift and a SD 𝜎 as a volatility iff there exists a function f (⋅) such that f (S t ) = log (S t ) is normally distributed. Therefore, d (f (S t )) is derived in Equation ( 8) with the help of Equation (6).…”
Section: Rationalization Of Gbm Modelmentioning
confidence: 99%
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“…50 Here, S is said to be log-normally distributed with mean displacement 𝜇 as a drift and a SD 𝜎 as a volatility iff there exists a function f (⋅) such that f (S t ) = log (S t ) is normally distributed. Therefore, d (f (S t )) is derived in Equation ( 8) with the help of Equation (6).…”
Section: Rationalization Of Gbm Modelmentioning
confidence: 99%
“…These rivalry actions, climatic or geographical hostility, and any other battlefield unfavorable inputs may cause a sudden terrible failure of IoBT during an operation. Sometimes, a network failure may be purposeful rather than accidental to save mission‐critical information 6 . This disconnection among the sink nodes of the network and the base station is known as the dark phase, as shown in Figure 1.…”
Section: Introductionmentioning
confidence: 99%
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