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Titlebook: Critical Information Infrastructures Security; 13th International C Eric Luiijf,Inga Žutautaitė,Bernhard M. Hämmerli Conference proceedings

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https://doi.org/10.1007/978-3-662-36611-0n based on location, context and time. We propose a probability score for selecting the inputs for fuzzing based on payload length. We implemented and evaluated the proposed framework in our IoT security testbed. Using SMuF, we have discovered various vulnerabilities such as Denial of Service (DoS), Buffer Overflow, Session Hijacking etc.
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https://doi.org/10.1007/978-3-030-05849-4artificial intelligence; computer crime; computer networks; data security; denial of service; denial of s
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978-3-030-05848-7Springer Nature Switzerland AG 2019
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/239969.jpg
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,Allgemeines über Wasserkraftmaschinen,e area network. Knowledge of the current topology of the network is crucial to interpret any such measurements and is also required for state estimators to obtain correct results. As both faults and deliberate actions such as opening breakers may alter the topology, an important step in any state es
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Propeller- und Kaplan-Turbinen,icantly disrupt bulk power delivery. Before a transformer reaches its critical failure state, there are indicators which, if monitored periodically, can alert an operator that the transformer is heading towards a failure. One of the indicators is the signal to noise ratio (SNR) of the voltage and cu
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Propeller- und Kaplan-Turbinen,new cyber threats, causing high financial damage, threatening lives and affecting the society. Known examples are Stuxnet, WannaCry and the attacks on the Ukrainian power grid. To prevent such attacks, it is indispensable to properly design, assess and maintain countermeasures and security strategie
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https://doi.org/10.1007/978-3-662-36611-0ed term. Defining the term plainly as the probability of outage appears as an oversimplification of practical matters, since precautions towards resilience typically target at impacts and may be without influence on any likelihoods of outage at all. We thus propose a quantitative definition of resil
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