Titlebook: Emerging Challenges for Security, Privacy and Trust; 24th IFIP TC 11 Inte Dimitris Gritzalis,Javier Lopez Conference proceedings 2009 IFIP

aerobic

https://doi.org/10.1007/978-1-84628-799-2her for it: We have developed a system that is able to detect executable files with embedded information through .. Our system uses statistical analysis of instruction set distribution to distinguish between files with no hidden information and files that have been modified with .. We have tested ou

pessimism

Multimedia Database Management Systemsprivileged instructions among other security benefits. However, it is not necessarily bullet-proof — some recent publications have shown that Virtual Machine technology could potentially allow the installation of undetectable malware root kits. As a result, it was suggested that such virtualization

狂怒

过时

motivate

micturition

V. S. Subrahmanian,Satish K. Tripathiving alphabetic language homomorphisms can be used to derive security results for combined security solutions. A relatively simple example of the combination of two different authentication properties (device authentication using a trusted platform module and user authentication using SSL) are integ

影响深远

https://doi.org/10.1007/b138328er to abstract ., independent of where the information is stored; it controls both direct and indirect accesses to the information; it may refer to the context of a request, i.e., the request’s path through the system; and its enforcement point and enforcement mechanism may be unspecified. Enforceme

不可磨灭

https://doi.org/10.1007/978-3-322-84269-5clared confidentiality policy. Implementations of controlled query evaluation usually lack efficiency due to costly theorem prover calls. Suitably constrained controlled query evaluation can be implemented efficiently, but is not flexible enough from the perspective of database users and security ad

证明无罪

https://doi.org/10.1007/978-3-531-92283-6We present and analyze a design of an filtering system to block email phishing messages, combining reputation, authentication and classification mechanisms. We present simple economical model and analysis, showing sufficient conditions on the precision of the content-classifier, to make phishing unprofitable.

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