Unidentified people obviously have the goal to prevent the strengthening of a new IoT botnet after the model of Mirai at all costs. The fact that they are really right for every means is simply shown by the fact that they have adopted the tactics of Bot "burnt earth".
In the honeypots of the security company Radware caught a few days ago a new malware, which is now called BrickerBot. Their functional principle is actually to make uncertain IoT devices on the Internet and to easily destroy.
The fact that the authors of this malware with the goal is quite serious, shows the fact that in just a few days, a second, improved version of the BrickerBot is in use.
The pests are on the net in the search for IoT systems with the typical unsafe Telnet accesses. For this purpose, a dictionary attack is started with a found Telnet port, which is to allow access to the respective device with the usual combinations of user names and passwords. In this way the various Botnet-Trojans have spread, the systems as zombies for Mirai and other infrastructures captured.
Dang - suddenly useless ... Instead of using the open accesses for their own purposes, the BrickerBots start various commands, which are supposed to destroy the affected system. For this purpose, the flash memory is filled with randomly generated data until it is completely full and can no longer record new codes. The TCP timestamps are then switched off, as a result of which virtually no data connections are produced. Furthermore, in the kernel configurations, the number of maximum parallel active threads, of which there are usually several thousand, is set to 1, which in effect terminates all kernel activities. In order to make the settings active, a forced restart occurs. After that, the affected device simply does not work anymore.
The BrickerBots are currently being distributed in various ways and are estimated to have eradicated thousands of IoT systems with unsafe Telnet accesses. As a result, somewhere users are wondering about why their surveillance cameras, video recorders or heating thermostats - and much more, no longer work.
The Internet of Things is connecting more devices every day, and we're headed for a world that will have 24 billion IoT devices by 2020.
This growth carries several benefits, as it will change the way people carry out everyday tasks and potentially transform the world. Having a smart home is undoubtedly cool and will draw oohs and aahs from your guests, but smart lighting can actually reduce overall energy consumption and lower your electric bill.
New developments would allow connected cars to link up with smart city infrastructure to create an entirely different ecosystem for the driver, who is simply used to the traditional way of getting from Point A to Point B.
And connected healthcare devices give people a deeper and fuller look at their own health, or lack thereof, than ever before.
But with all of these benefits comes risk, as the increase in connected devices gives hackers and cyber criminals more entry points.
Late last year, a group of hackers took down a power grid in a region of western Ukraine to cause the first blackout from a cyber attack. And this is likely just the beginning, as these hackers are looking for more ways to strike critical infrastructure, such as power grids, hydroelectric dams, chemical plants, and more. And aside from these security issues, the average consumer is concerned about his or her privacy. After all, if so much of the consumer's life is connected, then what is off limits?
Below, is a list of some of the biggest IoT security and privacy issues as we head toward this truly connected world.
IoT Security Issues
Public Perception: If the IoT is ever going to truly take off, this needs to be the first problem that manufacturers address. The 2015 Icontrol State of the Smart Home study found that 44% of all Americans were "very concerned" about the possibility of their information getting stolen from their smart home, and 27% were "somewhat concerned." With that level of worry, consumers would hesitate to purchase connected devices.
Vulnerability to Hacking: Researchers have been able to hack into real, on-the-market devices with enough time and energy, which means hackers would likely be able to replicate their efforts. For example, a team of researchers at Microsoft and the University of Michigan recently found a plethora of holes in the security of Samsung's SmartThings smart home platform, and the methods were far from complex.
Are Companies Ready?: AT&T's Cybersecurity Insights Report surveyed more than 5,000 enterprises around the world and found that 85% of enterprises are in the process of or intend to deploy IoT devices. Yet a mere 10% of those surveyed feel confident that they could secure those devices against hackers.
True Security: Jason Porter, AT&T's VP of security solutions, told BI Intelligence, Business Insider's premium research service, that securing IoT devices means more than simply securing the actual devices themselves. Companies also need to build security into software applications and network connections that link to those devices. IoT Privacy Issues
Too Much Data: The sheer amount of data that IoT devices can generate is staggering. A Federal Trade Commission report entitled "Internet of Things: Privacy & Security in a Connected World" found that fewer than 10,000 households can generate 150 million discrete data points every day. This creates more entry points for hackers and leaves sensitive information vulnerable.
Unwanted Public Profile: You've undoubtedly agreed to terms of service at some point, but have you ever actually read through an entire document? The aforementioned FTC report found that companies could use collected data that consumers willingly offer to make employment decisions. For example, an insurance company might gather information from you about your driving habits through a connected car when calculating your insurance rate. The same could occur for health or life insurance thanks to fitness trackers.
Eavesdropping: Manufacturers or hackers could actually use a connected device to virtually invade a person's home. German researchers accomplished this by intercepting unencrypted data from a smart meter device to determine what television show someone was watching at that moment.
Consumer Confidence: Each of these problems could put a dent in consumers' desire to purchase connected products, which would prevent the IoT from fulfilling its true potential.
These are just a handful of the issues the IoT must solve in order to reach mass adoption.
“The Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction.”
Still kind of confused? I don’t blame you. Although a quick Google search will turn up lots of articles and posts explaining what the IoT (Internet of Things) is and its many potential benefits, it isn’t made clear how an IoT system actually works.
An IoT system, explained: A complete IoT system integrates four distinct components: sensors/devices, connectivity, data processing, and a user interface. Below I will briefly explain each component and what it does.
1) Sensors/Devices First, sensors or devices collect data from their environment. This could be as simple as a temperature reading or as complex as a full video feed. I use “sensors/devices,” because multiple sensors can be bundled together or sensors can be part of a device that does more than just sense things. For example, your phone is a device that has multiple sensors (camera, accelerometer, GPS, etc), but your phone is not just a sensor. However, whether it’s a standalone sensor or a full device, in this first step data is being collected from the environment by something.
2) Connectivity Next, that data is sent to the cloud (what’s the cloud?), but it needs a way to get there! The sensors/devices can be connected to the cloud through a variety of methods including: cellular, satellite, WiFi, Bluetooth, low-power wide-area networks (LPWAN), or connecting directly to the internet via ethernet. Each option has tradeoffs between power consumption, range and bandwidth (here’s a simple explanation). Choosing which connectivity option is best comes down to the specific IoT application, but they all accomplish the same task: getting data to the cloud.
3) Data Processing Once the data gets to the cloud, software performs some kind of processing on it. This could be very simple, such as checking that the temperature reading is within an acceptable range. Or it could also be very complex, such as using computer vision on video to identify objects (such as intruders in your house). But what happens when the temperature is too high or if there is an intruder in your house? That’s where the user comes in.
4) User Interface Next, the information is made useful to the end-user in some way. This could be via an alert to the user (email, text, notification, etc). For example, a text alert when the temperature is too high in the company’s cold storage. Also, a user might have an interface that allows them to proactively check in on the system. For example, a user might want to check the video feeds in their house via a phone app or a web browser. However, it’s not always a one-way street. Depending on the IoT application, the user may also be able to perform an action and affect the system. For example, the user might remotely adjust the temperature in the cold storage via an app on their phone. And some actions are performed automatically. Rather than waiting for you to adjust the temperature, the system could do it automatically via predefined rules. And rather than just call you to alert you of an intruder, the IoT system could also automatically notify relevant authorities.
Recap An IoT system consists of sensors/devices which “talk” to the cloud through some kind of connectivity. Once the data gets to the cloud, software processes it and then might decide to perform an action, such as sending an alert or automatically adjusting the sensors/devices without the need for the user. But if the user input is needed or if the user simply wants to check in on the system, a user interface allows them to do so. Any adjustments or actions that the user makes are then sent in the opposite direction through the system: from the user interface, to the cloud, and back to the sensors/devices to make some kind of change.
An IoT system consists of sensors/devices which “talk” to the cloud through some kind of connectivity. Once the data gets to the cloud, software processes it and then might decide to perform an action, such as sending an alert or automatically adjusting the sensors/devices without the need for the user. But if the user input is needed or if the user simply wants to check in on the system, a user interface allows them to do so. Any adjustments or actions that the user makes are then sent in the opposite direction through the system: from the user interface, to the cloud, and back to the sensors/devices to make some kind of change.
Special Cases: Skipping the Connectivity The Internet of Things is made up of connected devices, i.e. anything that has the capacity to transfer data over a network. So by definition, an IoT system needs some kind of connectivity, especially if it uses the cloud. However, there are certain cases where the data processing or the interaction with the sensor/device through the user interface can take place without any data first being transferred over an external network.
Why skip the connectivity? One reason is latency. Latency refers to how long it takes for a packet of data to get from the start point to the end point. Although latency doesn’t matter in the vast majority cases, for some IoT applications latency is critical. Imagine you’re in a self-driving car and suddenly somebody loses control of their car in front of you. Would you want to wait for the self-driving car to send data to the cloud, have that data processed, then have instructions for what to do sent back to the car? No! Those milliseconds could mean life or death.
Even if you’re the one driving the car, you want the user interface (i.e the steering wheel) directly hooked up to the device (i.e the car) rather than waiting for your input to be transmitted externally, processed, and then sent back. Another reason is that sending lots of data can become really expensive. Some IoT applications collect a ton of data but only a small fraction is actually important. Local algorithms can restrict what gets sent thus lowering costs. A good example is a security camera. Streaming video takes a lot of data, but the vast majority of the footage might be of an empty hallway.
So how do you skip the connectivity? Rather than send data over a network for it to be processed in the cloud, an alternative approach is to process the data on a gateway (what’s a gateway?) or on the sensor/device itself. This is called either fog computing or edge computing (because you’re bringing the cloud “closer to the ground” and the computing is taking place at the edges of the IoT system rather than the center). For the security camera, it could use machine vision to “watch” for anything abnormal and only then send that footage to the cloud. For the self-driving car, the data processing all takes place in the onboard computer which allows for faster decision-making. IoT systems are complex and varied
Every IoT system combines the four components I discussed in Part 1, Sensors/Devices, Connectivity, Data Processing, and User Interface. However, as you’ve seen in this Part 2, a specific IoT system can combine these components in different ways. It all comes down the specific situation that needs to be addressed. Ultimately, IoT systems are meant to improve our everyday experiences and improve our efficiency in whatever way possible.
From the perspective of the DAU (dumbest assumable user): The WLAN sockets sold by Aldi, Saturn and Media-Markt (Discounter / Germany - just one example) contain a non-documented web frontend. Secured only with a standard password and you even get to the WLAN password!
What risks a customer receives from the operation of an IoT or Smart-Home device, conceal the manufacturers consistently! Hidden sensors, services and functions which are not documented and so secretly in the apartment of the customer. How is a user to deal with computer systems and technical accessories? Actually, these systems would have to be ALL of the market and until the manufacturers commit to security.
Almost all IoT systems are currently hacked with minimal knowledge, contrary to the mendacious statements from the manufacturers that everything is safe! Safe IoT or smart home systems are probably the exception, as well as various secret modules today without the knowledge of the customer to be installed on PC-Manboards, which now secretly spying on him. Compared to this, the massive security gaps of the IoT systems are ridiculous.
Unfortunately, here only the own check, which is built on boards and in devices, helps each part, which is NOT documented ...
Whether the device is nevertheless accessible from the network despite all precautions, most "DAU" users can not check ! There are usually no precautionary measures for the affected users, since (supposedly) nothing "secret" is made, since by "upnp" everything is set up, the users (lack of knowledge / disinterest) naturally also in rout routinely activated and so is essentially everything open.
With these security holes, it is not that any cunning software bores a hole to the outside, since simply the "glass" device of most internet connections is used .
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