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The wide-spreading mobile malware has become a dreadful issue in the increasingly popular mobile networks. Most of the mobile malware relies on network interface to coordinate operations, steal users' private information, and launch attack activities. In this paper, we propose TextDroid, an effective and automated malware detection method combining natural language processing and machine learning...
The majority of Android applications (apps) deals with user's personal data. Users trust these apps and allow them to access all sensitive data. Cryptography, when employed in an appropriate way, can be used to prevent misuse of data. Unfortunately, cryptographic libraries also include vulnerable cryptographic services. Since Android app developers may not be cryptographic experts, this makes apps...
The Command and Control (C&C) channel of modern botnets is migrating from traditional centralized solutions (such as the ones based on Internet Relay Chat and Hyper Text Transfer Protocol), towards new decentralized approaches. As an example, in order to conceal their traffic and avoid blacklisting mechanisms, recent C&C channels use peer-to-peer networks or abuse popular Online Social Networks...
Automotive industry is about to make a cutting-edge step in terms of vehicular technologies by letting vehicles communicate with each other and create an Internet of Things composed by vehicles, i.e., an Internet of Vehicles (IoV). In this context, information dissemination is very useful in order to support safe critical tasks and to ensure reliability of the vehicular system. However, the industrial...
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