Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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Intrusion Prevention in computer networking refers to the set of techniques and technologies used to detect and prevent unauthorized access, malicious activities, and attacks on a network. It involves actively monitoring network traffic, identifying potential threats or anomalies, and taking action to mitigate or block those threats. In the realms of Mobile Adhoc Networks and general computer networking, substantial work has pointed to the gaps experienced with respect to proactively identifying and mitigating risks and network malicious behaviours and attacks. Further research was conducted to establish the current state of contemporary intrusion detection, prediction and prevention techniques and their effectiveness to pro-actively identify and mitigate network attacks and malicious activity. However, it was found that the techniques utilized were very few or required futher accuracy improvements and for the identified effective techniques, they required substantial amount of data processing power and a robust network architecture to support its implementation.
Jedidiah Aqui. 2026. \u201cMobile Adhoc Networks and Networking – Integrating Risk Profiles into Intrusion Prevention Systems to Improve Predictive Intrusion Prevention\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 23 (GJCST Volume 23 Issue E3): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
The methods for personal identification and authentication are no exception.
Total Score: 102
Country: Trinidad and Tobago
Subject: Global Journal of Computer Science and Technology - E: Network, Web & Security
Authors: Jedidiah Aqui, Michael Hosein (PhD/Dr. count: 0)
View Count (all-time): 276
Total Views (Real + Logic): 1806
Total Downloads (simulated): 32
Publish Date: 2026 01, Fri
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Intrusion Prevention in computer networking refers to the set of techniques and technologies used to detect and prevent unauthorized access, malicious activities, and attacks on a network. It involves actively monitoring network traffic, identifying potential threats or anomalies, and taking action to mitigate or block those threats. In the realms of Mobile Adhoc Networks and general computer networking, substantial work has pointed to the gaps experienced with respect to proactively identifying and mitigating risks and network malicious behaviours and attacks. Further research was conducted to establish the current state of contemporary intrusion detection, prediction and prevention techniques and their effectiveness to pro-actively identify and mitigate network attacks and malicious activity. However, it was found that the techniques utilized were very few or required futher accuracy improvements and for the identified effective techniques, they required substantial amount of data processing power and a robust network architecture to support its implementation.
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