International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Proactive Response Model for App Centric Attack Recognition

Author(s) I.Gayathri, CH.Vyshnavi Bhavani, G.Sowjanya, K.Lakshmi Sai
Country India
Abstract Safeguarding strong security while reducing energy usage is still a top priority in the world of smartphone applications. In addition to addressing these important concerns, this work presents a revolutionary paradigm that advances attack modeling and intrusion detection in a proactive manner. Taking advantage of the novel framework of Application-based Behavioral Model Analysis (ABMA), our approach goes beyond traditional security protocols by deeply examining the complex behaviors of mobile applications. Through the smooth integration of advanced intrusion detection systems with ABMA, we present a comprehensive solution that maximizes energy efficiency while strengthening application security. We enable both users and developers to proactively prevent possible threats, including communication-based assaults, by rigorous analysis and modeling. This comprehensive strategy ushers in a new era of mobile security and energy efficiency by protecting sensitive data and user privacy while also ensuring an effective and sustainable ecology for smartphone applications.
Keywords Applications for smartphones, energy consumption, attack modelling, security, Application-based Behavioural Model Analysis(ABMA) and Intrusion detection,DDoS attack.
Field Computer Applications
Published In Volume 6, Issue 2, March-April 2024
Published On 2024-04-13
Cite This Proactive Response Model for App Centric Attack Recognition - I.Gayathri, CH.Vyshnavi Bhavani, G.Sowjanya, K.Lakshmi Sai - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.17082
DOI https://doi.org/10.36948/ijfmr.2024.v06i02.17082
Short DOI https://doi.org/gtqxsg
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