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Artificial Intelligence System for Combating Terrorism in Nigeria

Yusuf Usman Shehu

Subject area: Science,Engineering and Technology  ·  Area of research: Artificial Intelligence

Abstract

Security agencies, academic institutions, and business sectors have been actively researching security issues and putting various security-enhancing solutions into place. The applications of mobile AI systems have been used in various domains to combat security threats and terrorism. In this effort, most developed systems could not store the user's common routes, supervise the user as they move from one place to another, and automatically send alerts in case of any anomaly. The study focused on designing an AI system that can assist the NAF in combating terrorism using an Android mobile app. The objectives of designing a location tracker, building an AI model, and testing the suitability of the prototype were achieved. The app prototype was developed using Structured System Analysis and Design Methodology (SSADM) using Java 2 Micro-Edition (J2ME) application in which a GPS-enabled mobile phone obtains and transmits its position data (latitude/longitude), route name, and speed to an internet-connected database server at 10-second intervals. An optimal method for detecting deviations from the pre-planned route and speed range can be developed in the route-geo-system application which connects to the server and retrieves position data to determine whether it is within the specified route and whether the user is traveling at the appropriate speed. For better implementation of such systems, it is advised to employ secondary locating techniques, The application running on the mobile phone should use tools like critical point algorithms to limit the number of requested GPS fixes to a minimum to save power, UDP should also be employed and the GPS chip can also be incorporated into other objects.

References

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How to cite this paper

Yusuf Usman Shehu "Artificial Intelligence System for Combating Terrorism in Nigeria" Iconic Research And Engineering Journals Volume 8 Issue 11 2025 Page 987-991
Yusuf Usman Shehu "Artificial Intelligence System for Combating Terrorism in Nigeria" Iconic Research And Engineering Journals, vol. 8, no. 11, May. 2025
Yusuf Usman Shehu (2025). Artificial Intelligence System for Combating Terrorism in Nigeria. Iconic Research And Engineering Journals, 8(11).
Yusuf Usman Shehu "Artificial Intelligence System for Combating Terrorism in Nigeria" Iconic Research And Engineering Journals, vol. 8, no. 11, May. 2025.
@article{1708416,
      author = {Yusuf Usman Shehu},
      title = {Artificial Intelligence System for Combating Terrorism in Nigeria},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {8},
      number = {11},
      pages = {987-991},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1708416.pdf},
      abstract = {Security agencies, academic institutions, and business sectors have been actively researching security issues and putting various security-enhancing solutions into place. The applications of mobile AI systems have been used in various domains to combat security threats and terrorism. In this effort, most developed systems could not store the user's common routes, supervise the user as they move from one place to another, and automatically send alerts in case of any anomaly. The study focused on designing an AI system that can assist the NAF in combating terrorism using an Android mobile app. The objectives of designing a location tracker, building an AI model, and testing the suitability of the prototype were achieved.  The app prototype was developed using Structured System Analysis and Design Methodology (SSADM) using Java 2 Micro-Edition (J2ME) application in which a GPS-enabled mobile phone obtains and transmits its position data (latitude/longitude), route name, and speed to an internet-connected database server at 10-second intervals. An optimal method for detecting deviations from the pre-planned route and speed range can be developed in the route-geo-system application which connects to the server and retrieves position data to determine whether it is within the specified route and whether the user is traveling at the appropriate speed. For better implementation of such systems, it is advised to employ secondary locating techniques, The application running on the mobile phone should use tools like critical point algorithms to limit the number of requested GPS fixes to a minimum to save power, UDP should also be employed and the GPS chip can also be incorporated into other objects.},
      month = {May},
  }