Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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Mobile ad-hoc networks are becoming ever more popular due to their flexibility, low cost, and ease of deployment. Among these attacks, routing attacks have received considerable attention since it could cause the most devastating damage to MANET Early proposed routing protocols were not designed to operate in the presence of attackers. There have been many subsequent attempts to secure these protocols, each with its own advantages and disadvantages. Even though there exist several intrusions response techniques to mitigate such critical attacks, existing solutions typically attempt to isolate malicious nodes based on binary or native fuzzy response decisions. To allow for a comparison of these secure protocols, a single common attacker model is needed. Our first contribution in this work is to develop a comprehensive attacker model categorizing attackers based on their capabilities. This is in contrast to the existing models which seek to categorize attacks and then map that categorization back onto the attackers. However, binary responses may result in the unexpected network partition, causing additional damages to the network infrastructure, and native fuzzy responses could lead to uncertainty in countering routing attacks in MANET. Our second contribution is an analysis of the SAODV routing protocol using our new model, which demonstrates the structured approach inherent in our model and its benefits compared to existing work.
info.icomtechnologies. 2013. \u201cDifferent Models for MANET Routing Attacks\u201d. Unknown Journal GJCST-SPECIAL Volume 13 (GJCST Volume 13 Issue Special1): .
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The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Neural Networks and Rules-based Systems used to Find Rational and
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Mobile ad-hoc networks are becoming ever more popular due to their flexibility, low cost, and ease of deployment. Among these attacks, routing attacks have received considerable attention since it could cause the most devastating damage to MANET Early proposed routing protocols were not designed to operate in the presence of attackers. There have been many subsequent attempts to secure these protocols, each with its own advantages and disadvantages. Even though there exist several intrusions response techniques to mitigate such critical attacks, existing solutions typically attempt to isolate malicious nodes based on binary or native fuzzy response decisions. To allow for a comparison of these secure protocols, a single common attacker model is needed. Our first contribution in this work is to develop a comprehensive attacker model categorizing attackers based on their capabilities. This is in contrast to the existing models which seek to categorize attacks and then map that categorization back onto the attackers. However, binary responses may result in the unexpected network partition, causing additional damages to the network infrastructure, and native fuzzy responses could lead to uncertainty in countering routing attacks in MANET. Our second contribution is an analysis of the SAODV routing protocol using our new model, which demonstrates the structured approach inherent in our model and its benefits compared to existing work.
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