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Titlebook: Information Security; 24th International C Joseph K. Liu,Sokratis Katsikas,Rolly Intan Conference proceedings 2021 Springer Nature Switzerl

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Bigdata-Facilitated Two-Party Authenticated Key Exchange for IoTcy means that only the legitimate parties learn the established key and mutual authentication means that one party can assure itself the session key is actually established with the other party. Today, an important application area for AKE is Internet of Things (IoT) systems, where an IoT device run
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Transparency Order of (,, ,)-Functions—Its Further Characterization and Applicationsbit Differential Power Analysis (DPA). The recently redefined notion of transparency order (.), based on the cross-correlation coefficients, uses a very delicate assumption that the adversary has a priori knowledge about the so called pre-charged logic value (a constant register value set by a syste
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TridentShell: a Covert and Scalable Backdoor Injection Attack on Web Applicationserabilities in the system or web applications to implant a backdoor to a web server. To address this challenge, static feature detection is believed to be an effective solution. However, it may also leave a potential security “hole” that could be exploited by intruders. In this paper, we propose a n
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Andromeda: Enabling Secure Enclaves for the Android Ecosystemances, entertainment systems and embedded devices. The majority of these devices typically process and store a vast amount of security-critical and privacy-sensitive data, including personal contacts, financial accounts and high-profile enterprise assets. The importance of these data makes these dev
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FEX – A Feature Extractor for Real-Time IDSadopted as a particular supporting technique over the last years. However, the majority of related published work uses post mortem log files and fails to address the required real-time capabilities of network data feature extraction and machine learning based analysis [.,.,.,.,.]. We introduce the n
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Hybroid: Toward Android Malware Detection and Categorization with Program Code and Network Trafficditional anti-malware techniques have become cumbersome, thereby raising the need to develop efficient ways to detect Android malware. In this paper, we present ., a hybrid Android malware detection and categorization solution that utilizes program code structures as static behavioral features and n
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