![]() There are other major threats listed below. The objective can be either adware or malware for stealing sensitive information. An example of this is the clone of the download manager, which tricks the user into downloading some other app instead of the intended one. Some clones do change the advertising libraries, trying to gain monetary benefits intended for the original app. The benign cloning is harmless, where the sole purpose is to provide an application to the audience, probably in a different market or to an altogether different niche, not included by the original app owner. The cloned apps pose several threats to the original app ranging from benign ones to severe ones. So, this is the most robust technique to detect cloning. This would be similar to the original app. This phenomenon is difficult to hide and is often ignored by the cloners. On the other hand, a control dependency edge between two statements exists, if the execution of a statement depends on the truth value of another statement. For example, a pointer variable v2 pointing to v1 is dependent on v1. The edge showing data dependencies is generally between two variables, which are dependent on one another. It represents the methods in the program via a dependency graph highlighting data as well as control dependencies. However, the code modifications cannot be detected properly as the streams do not have semantic knowledge. ![]() This approach is more robust than the previous approach in detecting structure plagiarism as it can detect similar or nearly similar code. These token streams are then compared to detect smart plagiarism wherein the constructs which can be modified with ease such as whitespace characters, variables, comments, etc. The structure-based clone detection approach converts the programs into multiple tokens generating a stream of the same. These approaches have a low clone detection ratio and are highly prone to be fooled. ![]() This approach is not fully-proof as it ignores the structural similarities of the programs. The selected features can differ significantly in terms of variables, class names, number of classes, loops, libraries, and other programming constructs. The extracted features are compared to detect the amount of plagiarism in the code with the help of certain tools available online. The feature-based clone detection approach analyzes the program to extract the pool of features provided by the two apps. Let us see what the different ways of detecting clone apps are? Feature-Based Clone Detection This situation is pretty common for a mobile app development company in india as companies here are fierce competitors. If the keys are different, then there are chances that the apps might be clones. So, the ownership of two similar apps can be verified by checking the key of the apps. So, how do we detect clone apps? A simple approach is to check the private key of the owner of the app as every mobile app has to be prima facie signed by the owner before it is uploaded to the play store. Similarly, multiple versions of the same app cannot be termed clones as their parent company would be the same in this case. If an app has been created by using the publicly available third-party API, it cannot be considered as cloning. Cloning is different from the reusing of code because there are some mobile apps that release their API libraries open for access to anybody. Two applications can be considered a clone of each other when they have the same code, but the companies owning them are different. The scope of cloning is not limited to aesthetics only, but it must cover the code also. Let us try to understand the meaning of clone apps first. Many app doppelgangers look and function in the same manner as the original app hampering its revenue and brand negatively. But, a major threat of cloned mobile apps is looming around these companies. The wider the reach of the mobile app, the more its advertisement revenue would be. The mobile app development companies are trying to latch the opportunity to reach customers directly. The mobile apps are the new face of connecting with the customers as there are around 2.71 billion smartphones used globally. Retail Ecommerce Web Mobile Apps Development.Banking and Finance Web Mobile Apps Development.Social Network Web Mobile Apps Development.Media Entertainment Web Mobile Apps Development.Health Care and Fitness Web Mobile Apps Development.Education and E-Learning Web Mobile Apps Development.Real Estate Web Mobile Apps Development.Progressive Web App Development Service.Virtual Reality App Development Service.Augmented Reality App Development Service.Hire Internet of Things (IoT) Developer.Mobile app maintenance support services.
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