Every connected device creates opportunities for attackers. These vulnerabilities are broad, even for one small device. The risks posed include data transfer, device access, malfunctioning devices, and always-on/always-connected devices.
The main challenges in security remain the safety limitations related to producing low-cost devices, and therefore the growing number of devices which creates more opportunities for attacks.

Security Spectrum
The definition of a secured device spans from the foremost simple measures to stylish designs. Security should be thought of as a spectrum of vulnerability which changes over time as threats evolve.
Security must be assessed supported user needs and implementation. Users must recognize the impact of security measures because poorly designed security creates more problems than it solves.
Example − A German report revealed hackers compromised the safety system of a steelworks . They disrupted the control systems, which prevented a furnace from being pack up properly, leading to massive damage. Therefore, users must understand the impact of an attack before choosing appropriate protection.
Challenges
Beyond costs and therefore the ubiquity of devices, other security issues plague IoT −
• Unpredictable Behavior − The sheer volume of deployed devices and their long list of enabling technologies means their behavior within the field are often unpredictable. a selected system could also be neat and within administration control, but there are not any guarantees about how it’ll interact with others.
• Device Similarity − IoT devices are fairly uniform. They utilize an equivalent connection technology and components. If one system or device suffers from a vulnerability, more have an equivalent issue.
• Problematic Deployment − one among the most goals of IoT remains to put advanced networks and analytics where they previously couldn’t go. Unfortunately, this creates the matter of physically securing the devices in these strange or easily accessed places.
• Long Device Life and Expired Support − one among the advantages of IoT devices is longevity, however, that long life also means they’ll outlive their device support. Compare this to traditional systems which usually have support and upgrades long after many have stopped using them. Orphaned devices and abandonware lack an equivalent security hardening of other systems thanks to the evolution of technology over time.
• No Upgrade Support − Many IoT devices, like many mobile and little devices, aren’t designed to permit upgrades or any modifications. Others offer inconvenient upgrades, which many homeowners ignore, or fail to note .
• Poor or No Transparency − Many IoT devices fail to supply transparency with reference to their functionality. Users cannot observe or access their processes, and are left to assume how devices behave. they need no control over unwanted functions or data collection; furthermore, when a manufacturer updates the device, it’s going to bring more unwanted functions.
• No Alerts − Another goal of IoT remains to supply its incredible functionality without being obtrusive. This introduces the matter of user awareness. Users don’t monitor the devices or know when something goes wrong. Security breaches can persist over long periods without detection.
Internet of Things – Identity Protection
IoT devices collect data about their environment, which incorporates people. These benefits introduce heavy risk. the info itself doesn’t present the danger, however, its depth does. The highly detailed data collection paints a really clear picture of a private , giving criminals all the knowledge they have to require advantage of somebody .
People can also not remember of the extent of privacy; for instance , entertainment devices may gather A/V data, or “watch” a consumer, and share intimate information. The demand and price for this data exacerbates the difficulty considering the amount and variety of parties curious about sensitive data.
Problems specific to IoT technology cause many of its privacy issues, which primarily stem from the user’s inability to determine and control privacy −
Consent
The traditional model for “notice and consent” within connected systems generally enforces existing privacy protections. It allows users to interact with privacy mechanisms, and set preferences typically through accepting an agreement or limiting actions. Many IoT devices haven’t any such accommodations. Users not only haven’t any control, but they’re also not afforded any transparency regarding device activities.
The Right to be Left Alone
Users have normal expectations for privacy in certain situations. This comes from the commonly accepted idea of public and personal spaces; for instance , individuals aren’t surprised by surveillance cameras in commercial spaces, however, they are doing not expect them in their personal vehicle. IoT devices challenge these norms people recognize because the “right to be left alone.” Even publicly spaces, IoT creeps beyond the bounds of expected privacy thanks to its power.
Indistinguishable Data
IoT deploys during a big variety of the way . Much of IoT implementation remains group targeted instead of personal. albeit users give IoT devices consent for every action, not every system can reasonably process every set of preferences; for instance , small devices during a complex assembly cannot honor the requests of tens of thousands of users they encounter for mere seconds.
Granularity
Modern big data poses a considerable threat to privacy, but IoT compounds the difficulty with its scale and intimacy. It goes not only where passive systems cannot, but it collects data everywhere. This supports creation of highly detailed profiles which facilitate discrimination and expose individuals to physical, financial, and reputation harm.
Comfort
The growth of IoT normalizes it. Users become comfortable with what they perceive as safe technology. IoT also lacks the transparency that warns users in traditional connected systems; consequently, many act with none consideration for the potential consequences.
So, this brings us to the end of blog. This Tecklearn ‘Internet of Things Security and Identity Protection’ blog helps you with commonly asked questions if you are looking out for a job in Internet of Things (IoT). If you wish to learn IoT and build a career in Internet of Things (IoT) domain, then check out our interactive, Internet of Things (IoT) Training, that comes with 24*7 support to guide you throughout your learning period. Please find the link for course details:

IoT (Internet of Things) Training

Internet of Things (IoT) Training

About the Course

Internet of Things or IoT, as it is widely known, simply put, is a network of devices which can communicate with each other with regards to sending, receiving and analyzing data. Tecklearn’s IoT Training as an online training platform delivers you the best in the industry IoT knowledge by certified and experienced trainers to master IoT. Interactive sessions include two real-time projects to provide in-depth understanding of advanced IoT concepts that covers IoT methods and technologies, application deployment, network and communication protocols and integrations, security measures and real-time data management on the internet. You will learn IoT introduction, significance, building your own IoT devices, sensors, IoT communication and security. This training will help you be a part of the IoT revolution underway around the globe.

Why Should you take IoT (Internet of Things) Training?

• The average salary for an IoT Engineer is $163,514 per year in the United States. (Indeed.com)
• Many industries such as Eddie Stobart Transport and Logistics Company, the Amazon, Dell, Aviva, German Auto Manufacturer Daimler, the John Deere Company and Walt Disney Land are all utilizing the Internet of Things technology to monitor various activities and advance their existing systems.
• Gartner Says 5.8 Billion Enterprise and Automotive IoT Endpoints Will Be in Use in 2020

What you will Learn in this Course?

Introduction to Internet of Things
• What is IoT, how does it work
• IoT vs IIoT
• Business Cases of IIoT
• Industry 4.0
• Properties of IoT device
• IoT Ecosystem
• IoT Decision Framework
• IoT Solution Architecture Models
• How IoT is Transforming Businesses
• Major IoT Boards in Market
IoT Communication Protocols
• Types of wireless communication
• Major wireless Short-range communication devices and properties
• Comparison of these devices (Bluetooth, WIFI, ZigBee, 6LoWPAN)
• Major wireless Long-range communication devices and properties, Comparison of these devices (Cellular IoT, LPWAN)
IoT Architecture
• The IoT Stack Architecture and the various components and layers
• The app, the data processing and platform
• IoT OS like Contiki, FreeRTOS and mbe
• The edge and the connected thing or device
IoT Sensors and Device Platforms
• Introduction to IoT Sensors and the role they play in getting the IoT systems work efficiently
• Micro-electromechanical systems revolutionizing IoT sensors
• Use Case of Water Quality Monitoring
• Use Case: Sericulture
• Difference between microcontroller and microprocessor
• IoT Device Platforms – Arduino, Raspberry Pi etc
• Smartphone Centric Architecture
• IoT Application Layer protocols
• Hands On
Arduino Platform and Arduino Interfacing
• Arduino physical board, libraries and the Integrated Development Environment
• Arduino Shields various operations such as heat and light sensing, GPS, UI display
• Programming Arduino using C language
• Controlling external devices using pins on the Arduino board
• The Arduino Interface
• Reading inputs from various sources and providing an output
• Working with sensors for sensing and controlling the physical world
• Deploying various types of sensors and connecting it to the Arduino
• Constant conversion between analog and digital signals for information exchange between the physical and digital domains
• Hands On
Raspberry Pi Platform and Raspberry Pi Interfacing
• Introduction to Raspberry Pi
• Set up of Raspberry Pi environment
• Coding for the Raspberry Pi using Python
• Deploying Python-based Integrated Development Environment
• Interfacing the Raspberry Pi with the physical world
• Introducing the various input and output devices
• Raspberry Pi expansion boards for building complex hardware setup
• Real-time demo of Raspberry Pi interfacing
• Hands On
Arduino Uno Wifi and IoTivity
• Iotivity
• Iotivity Architecture
• Hands On
Netduino Platform and Netduino Interfacing
• Introduction to Netduino Platform
• Setting up the Netduino environment
• Coding for the Netduino
• Interfacing the Netduino with the physical world
• Introducing the various input and output devices
• Real-time demo of Netduino interfacing
• Hands On
IoT for Arduino, NodeMCU and Netduino
• Control LED light using Netduino board
• NodeMCU
• Blynk
Project: Building WSN with MQTT, Raspberry Pi & Arduino
Got a question for us? Please mention it in the comments section and we will get back to you.

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