- published: 21 Jul 2013
- views: 113438
In the context of hardware and software systems, formal verification is the act of proving or disproving the correctness of intended algorithms underlying a system with respect to a certain formal specification or property, using formal methods of mathematics.
Formal verification can be helpful in proving the correctness of systems such as: cryptographic protocols, combinational circuits, digital circuits with internal memory, and software expressed as source code.
The verification of these systems is done by providing a formal proof on an abstract mathematical model of the system, the correspondence between the mathematical model and the nature of the system being otherwise known by construction. Examples of mathematical objects often used to model systems are: finite state machines, labelled transition systems, Petri nets, vector addition systems, timed automata, hybrid automata, process algebra, formal semantics of programming languages such as operational semantics, denotational semantics, axiomatic semantics and Hoare logic.
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Original YouTube Channel: https://www.youtube.com/c/ThePottersClay The Lord will lead you into all truth if you ask him. Man's pride stands in the way of obtaining true knowledge that God will freely give to the humble. The Bible holds the truth about the creation of this Earth and everything else. We are being lied to by those whose purpose is to deceive and control us. You can choose whether or not you let them.
The 6th Bar-Ilan Winter School on Cryptography: Cryptography in the Cloud - Verifiable Computation and Special Encryption, which was held on January 4-7, 2016. The event's program: http://cyber.biu.ac.il/event/the-6th-biu-winter-school/
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Filmed at https://2017.dotsecurity.io on April 21st in Paris. More talks on https://dotconferences.com/talks The world is full of authorities who promise to behave randomly: commercial lotteries worth millions of euros, randomized audits, school assignments, draws for international sports tournaments, or choosing travelers for secondary security screening. More technically speaking, randomness is a requirement in many algorithms and hence verifiable randomness is a prerequisite for algorithmic transparency. Yet today authorities typically provide no evidence that they are behaving randomly. If any evidence is provided, it is typically in the form of a physical randomness process such as rolling dice. Joseph describes the cryptographic foundations by which we can provide stronger eviden...
Jamie Smart from Salad Ltd demonstrates how pacing and leading is the secret to moving a person's consciousness in the direction you want. This process type language is the secret to expanding your covert influence skills and learning conversational hypnosis abilities that master hypnotists use. This video clip was taken from http://www.mynlpresources.com, the world's most comprehensive resource for learning, applying, sharing & benefiting from practical Neuro-linguistic Programming (NLP) skills. For access to over 700 NLP videos, audios and articles go to http://www.mynlpresources.com to find out more
In light of security challenges that have emerged in a world with complex networks and cloud computing, the notion of functional encryption has recently emerged. In this work, we show that in several applications of functional encryption (even those cited in the earliest works on functional encryption), the formal notion of functional encryption is actually not sufficient to guarantee security. This is essentially because the case of a malicious authority and/or encryptor is not considered. To address this concern, we put forth the concept of verifiable functional encryption, which captures the basic requirement of output correctness: even if the ciphertext is maliciously generated (and even if the setup and key generation is malicious), the decryptor is still guaranteed a meaningful notio...
This is a user experience demo of our open-source end-to-end verifiable blockchain voting software. Visit our website for more information and to contact us: https://followmyvote.com/ Note: The completed software release is not guaranteed to have the exact same look and feel.
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Katerina Argyraki, Network Researcher at EPFL Switzerland, lectures on how to produce verifiable network performance measurements. In the current Internet, there is no clean way to troubleshoot poor forwarding performance: when an Internet service provider (ISP) does not forward traffic as agreed/expected, its customers and peers resort to ad-hoc probing to localize and assess the problem. Research proposals advocate end-to-end measurements from different vantage points (e.g., PlanetLab nodes) as a way to forcefully extract information on an ISP's performance without any involvement from the ISP itself. Argyraki argues that it is time to consider a different approach, where ISPs willingly contribute information on their performance, albeit in a way that forces them to tell the truth. She ...