Andere Kunden interessierten sich auch für
![Characterizing Component Hiding Using Ancestral Entropy]( "Characterizing Component Hiding Using Ancestral Entropy")
Characterizing Component Hiding Using Ancestral Entropy64,99 €![Combat Identification Modeling Using Robust Optimization Techniques]( "Combat Identification Modeling Using Robust Optimization Techniques")
Combat Identification Modeling Using Robust Optimization Techniques64,99 €![Combat Identification Modeling Using Neural Networks Techniques]( "Combat Identification Modeling Using Neural Networks Techniques")
Combat Identification Modeling Using Neural Networks Techniques63,99 €![An Analysis of Aircraft Handling Quality Data Obtained from Boundary Avoidance Tracking Flight Test Techniques]( "An Analysis of Aircraft Handling Quality Data Obtained from Boundary Avoidance Tracking Flight Test Techniques")
An Analysis of Aircraft Handling Quality Data Obtained from Boundary Avoidance Tracking Flight Test Techniques63,99 €![Improvements in Block-Krylov Ritz Vectors and the Boundary Flexibility Method of Component Synthesis]( "Improvements in Block-Krylov Ritz Vectors and the Boundary Flexibility Method of Component Synthesis")
Improvements in Block-Krylov Ritz Vectors and the Boundary Flexibility Method of Component Synthesis63,99 €![Minimizing Coordination Problems Between the Jfacc and Jflcc in the Coordination of Joint Fires Between the Fscl and Land Component Forward Boundary]( "Minimizing Coordination Problems Between the Jfacc and Jflcc in the Coordination of Joint Fires Between the Fscl and Land Component Forward Boundary")
Minimizing Coordination Problems Between the Jfacc and Jflcc in the Coordination of Joint Fires Between the Fscl and Land Component Forward Boundary63,99 €![Improved Feature Extraction, Feature Selection, and Identification Techniques that Create a Fast Unsupervised Hyperspectral Target Detection Algorithm]( "Improved Feature Extraction, Feature Selection, and Identification Techniques that Create a Fast Unsupervised Hyperspectral Target Detection Algorithm")
Improved Feature Extraction, Feature Selection, and Identification Techniques that Create a Fast Unsupervised Hyperspectral Target Detection Algorithm63,99 €
Protecting software from adversarial attacks is extremely important for DoD technologies. When systems are compromised, the possibility exists for recovery costing millions of dollars and countless labor hours. Circuits implemented on embedded systems utilizing FPGA technology are the result of downloading software for instantiating circuits with specific functions or components. We consider the problem of component hiding a form of software protection. Component identification is a well studied problem. However, we use component identification as a metric for driving the cost of reverse engineering to an unreasonable level. We contribute to protection of software and circuitry by implementing a Java based component identification tool. With this tool, we can characterize time required for carrying out adversarial attacks on unaltered boolean circuitry. To counter component identification methods we utilize boundary blurring techniques which are either semantic preserving or semantic changing in order to prevent component identification methods. Furthermore, we will show these techniques can drive adversarial cost to unreasonable levels preventing compromise of critical systems.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.