فناوری های نوین و صیانت پیش کنشی کارکنان محیط انتظامی
محمدموسی خورشیدی
1
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مرکز مطالعات راهبردی فراجا
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هادی انصاری
2
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دفتر تحقیقات کاربردی فرماندهی مرزبانی استان بوشهر
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کلید واژه: فناوری‌های نوین, هوش مصنوعی, بلاکچین, صیانت پیشکنشی, نظارت,
چکیده مقاله :
صیانت پیش‌رویدادی از کارکنان انتظامی به‌عنوان یک رویکرد پیشگیرانه در تأمین سلامت و ایمنی نیروی انسانی در حوزه‌های امنیتی و انتظامی اهمیت ویژه‌ای دارد. این مقاله مروری، با هدف بررسی نقش فناوری‌های نوین در ارتقای امنیت و پیشگیری از جرم در نیروهای انتظامی، به بررسی گسترده‌ای از پژوهش‌های انجام شده در این حوزه پرداخته است. از جمله یافته‌های کلیدی این پژوهش، می‌توان به موارد زیر اشاره کرد:
الگوریتم‌های یادگیری ماشین و شبکه‌های عصبی مصنوعی قادرند با تحلیل حجم عظیمی از داده‌ها، الگوهای رفتاری مجرمانه را شناسایی کرده و پیش‌بینی کنند. این امر به نیروهای انتظامی امکان می‌دهد تا به صورت پیشگیرانه اقدام کرده و از وقوع جرم جلوگیری کنند. با اتصال دستگاه‌های مختلف به یکدیگر، اینترنت اشیا امکان جمع‌آوری داده‌های فراوانی را فراهم می‌کند که می‌توان از آنها برای نظارت بر محیط و شناسایی تهدیدات بالقوه استفاده کرد. با ایجاد یک دفتر کل توزیع شده و غیرقابل تغییر، بلاکچین می‌تواند به بهبود شفافیت، امنیت و ردیابی شواهد در پرونده‌های جنایی کمک کند. علاوه بر مزایای ذکر شده، این پژوهش به چالش‌های موجود در پیاده‌سازی این فناوری‌ها نیز پرداخته است. از جمله این چالش‌ها می‌توان به نگرانی‌های مربوط به حریم خصوصی، سوگیری الگوریتم‌ها اشاره کرد.
در مجموع، این پژوهش نشان می‌دهد که فناوری‌های نوین می‌توانند به عنوان ابزاری قدرتمند برای مقابله با جرم و صیانت پیشکنشی مورد استفاده قرار گیرند.
چکیده انگلیسی :
Pre-event protection of law enforcement personnel is of particular importance as a preventive approach to ensuring the health and safety of human resources in the security and law enforcement fields. This review article, with the aim of examining the role of new technologies in promoting security and preventing crime in law enforcement forces, has conducted an extensive review of research conducted in this field. Among the key findings of this research, the following can be mentioned: Machine learning algorithms and artificial neural networks are able to identify and predict criminal behavior patterns by analyzing a huge amount of data. This allows law enforcement forces to take preventive action and prevent crime from occurring. By connecting different devices to each other, the Internet of Things allows the collection of a large amount of data that can be used to monitor the environment and identify potential threats. By creating a distributed, immutable ledger, blockchain can help improve transparency, security, and traceability in criminal cases. In addition to the benefits mentioned, this research also addresses the challenges in implementing these technologies. These include privacy concerns, algorithmic bias, and more. Overall, this research shows that new technologies can be used as a powerful tool for crime prevention and proactive protection.
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