ndroid is the operating system that most people use. The reason it is popular with people who do bad things on the internet is that it is easy to use and a lot of people have it. These bad people like to attack Android because they can make money from it. One way they make money is, by using software that shows fake ads. This software is very bad because it can click on ads by itself even when the user is not doing anything. Android malware is a problem because it can do things without the user knowing like clicking on ads to make money for the bad people.

This kind of attack is really bad because it messes with the advertising system. Advertisers are paying money thinking that real people are clicking on their ads. What is actually happening is that automated malware is creating fake traffic. At the time the online advertising system is being manipulated and users devices are being taken advantage of their batteries are running out of power faster their mobile data is being used up and the online advertising system is still being manipulated. Users privacy is also being. The online advertising system is being hurt by this.

The old ways of finding malware do not work well with this kind of malware because malware behaves like a normal application. Malware installs normally it asks for permissions that seem okay it runs quietly in the background and it does things that look like user actions. This is where Machine Learning becomes very useful. Machine Learning systems can look at what malware does. Find small differences, between what people do and what malware does. Machine Learning can detect malware by looking at behavior patterns and finding out what is not an user action and what is malicious automated behavior of malware.

What is Android Malware?

Android malware is bad stuff that people make to hurt your Android device. This bad stuff can be an application or some kind of code that is meant to do things to your Android. It is designed to:

Steal user data

Spy on user activities

Damage the device

Show intrusive ads

Generate illegal profit

Ad-clicking malware is a type of malware that falls under the category of Ad Fraud Malware. The main goal of Ad Fraud Malware is not to damage the device. Instead Ad-clicking malware is used to take advantage of the advertising system so that people can make money from it. Ad-clicking malware is about exploiting the system, for financial gain.

What Does “Automatically Detect and Click on Ads” Mean?

People usually click on ads when they are looking at something, on the internet. Ads are clicked by users who:

See an advertisement

Decide to click it

Interact with the advertiser’s website or app

In ad-fraud malware:

The malware looks at the screen or the webpage. It checks what is on the screen or the webpage. The malware is, like a computer program that scans the screen or the webpage to find things. The malware scans the screen or the webpage to see what you are doing.

This thing finds areas that look like advertisements. It figures out what parts of a page or a website look like ads. The system identifies areas that look like ads. Then it does something with that information. Areas that look like ads are found by this thing.

This thing simulates touch input. It does what you would normally do with your finger on a screen. It does it for you. The touch input is simulated so it is like you are really touching the screen. Simulates touch input is a cool thing.

Sends fake clicks

Loads advertiser websites in hidden browsers

Generates revenue for the attacker

This happens without the user knowing about it. The phone turns into a robot that’s part of a huge network that does fake things. The phone is basically a robot in this network that is used for fraud. The fraud network is really big. It uses phones, like this.

Why Is This a Serious Problem?

Financial Loss

Advertisers lose a lot of money every year because of clicks on their advertisements. The amount of money that advertisers lose is really big we are talking about billions of dollars. This happens to advertisers every year. Fake clicks are a problem, for advertisers. Advertisers lose billions of dollars annually because of these clicks.

User Harm

Battery drains quickly

Data usage increases

My phone becomes really slow sometimes. The phone just takes a time to do things. I think the phone needs to be restarted or something because the phone becomes slow. It is really annoying.

Our privacy is not what it used to be. People are always watching what we do. This is a problem. Our privacy is compromised every day. We need to do something to protect our privacy. Our privacy is very important, to us.

Security Threat

Malware often has bad things it can do such, as:

Data theft

Spyware

Remote command execution

Hard to Detect

Since the malware:

Mimics human behavior

Uses legitimate APIs

Runs silently

Detecting this thing is really tough because it does not follow rules. The rules we have are just not good enough to detect it. This makes it very hard to figure out when it is happening. Detecting it is a problem because simple rules do not work.

Machine learning is really important. We need machine learning because it helps us do things that’re hard for people to do. Machine learning makes it possible for computers to learn from data and make decisions. This is useful for things like making predictions and finding patterns. Machine learning is needed to solve problems. We use machine learning to make our lives easier. Machine learning is needed in areas, such, as:

* Medicine, where machine learning helps doctors find new ways to treat patients

* Business, where machine learning helps companies make good decisions

* Science, where machine learning helps us understand amounts of data. Machine learning is needed to help us make sense of all the information we have.

Traditional antivirus software mainly uses things to keep your computer safe.

* It looks for files on your computer

Traditional antivirus software mainly uses these things to find the bad files.

1. Checking files, for bad stuff

antivirus software mainly uses this method to keep your computer from getting hurt.

It checks everything that comes into your computer to make sure it is not bad.

Traditional antivirus software mainly uses this way of checking to keep you safe.

Signature matching

Known malware patterns

Static analysis

But modern malware:

Changes frequently

Uses code obfuscation

Behaves dynamically

Machine Learning:

Learns patterns from thousands of apps

Detects unknown malware

Analyzes real behavior

Improves over time

This makes ML ideal for detecting Android malware that automatically clicks ads.