0% Complete
فارسی
Home
/
چهاردهمین کنفرانس بین المللی فناوری اطلاعات و دانش
Information Technology Risk Management Model for Remote Control Vehicles
Authors :
Hamid Reza Naji
1
Aref Ayati
2
1- دانشگاه تحصیلات تکمیلی صنعتی و فناوری پیشرفته
2- دانشگاه تحصیلات تکمیلی صنعتی و فناوری پیشرفته
Keywords :
Risk Management،RCV،Drone،UAV،Cyber Security
Abstract :
This paper presents a lightweight and quick IT risk management model for Remote Control Vehicles (RCVs). The increasing use of RCVs in many fields and the existence of different threats are the main reasons for having an efficient risk management method in this field. This paper will cover the information technology risks based on a continuous, iterative, and cyclic flow. This structure is adaptable to agile methods and decreases the chance of losing data, failing any equipment or system, and losing the reputation of the enterprise. Our risk management model is based on qualitative measures and can cover most IT-based risks in this area
Papers List
List of archived papers
پیشبینی میزان بقای بیماران مبتلا به سرطان ریه با استفاده از ترکیب کارآمد روشهای دادهکاوی و بهینهسازی رقابت استعماری
رخشان رمضانی سرچشمه - مهدی هاشمزاده - امین گلزاری اسکوئی
شناسایی جایگاه مالونیلاسیون در پروتئینها با بهرهگیری از استخراج ویژگی و تکنیکهای پردازش زبان طبیعی
حنانه رجبیون - محمد قاسم زاده - وحید رنجبر بافقی
Knowledge gap extraction based on the learner click behavior in interaction with videos using the association rule algorithm
Yosra Bahrani - Omid Fatemi
ساخت پیکره برچسب خورده گزارش های آسیب شناسی
مسلم سمیعی پاقلعه - مهرنوش شمس فرد
Intelligent Transportation System (ITS) Using Internet of Things (IoT)
Engineer Reza Khalilian - Dr. Abdalhossein Rezai - Dr. Sayyed Mohammad Reza Talakesh
Writer-Independent Signature Verification with Enhanced AlexNet and Preprocessing Analysis
Mohammadreza Gholipour Shahraki - Mohammad Ghasemzadeh
An Improved Image Classification Based In Feature Extraction From Convolutional Neural Network: Application To Flower Classification
Faeze Sadati - Dr Behrooz Rezaie
Sparse Beamforming Design for Non-Coherent UD-CRAN with mm-Wave Fronthaul Links
Alireza M. Hosseini - Dr Abbas Mohammadi
Data Analysis to Reduce Electrical Power Plants
Amirali Sahraei - Jamshid Shanbehzadeh
A Hybrid Method to Reduce the Voltage Consumption in the Spiking Neural Networks
Shaghayegh Mehdizadeh saraj - Seyyed Amir Asghari - Mohammadreza Binesh Marvasti
more
Samin Hamayesh - Version 42.0.3