Attack pattern system exhibits a unique property of pattern sequential cascading nature which can be identified during the design phase of an application system implementing security scenarios. In this paper a mathematical framework of secure system of attack patterns is presented to verify the stated design specification property along with theoretical back ground work. The framework defines 1...

The premise of automated alert correlation is to accept that false alerts from a low level intrusion detection system are inevitable and use attack models to explain the output in an understandable way. Several algorithms exist for this purpose which use attack graphs to model the ways in which attacks can be combined. These algorithms can be classified in to two broad categories namely scenari...

Security-aware embedded devices which are likely to operate in hostile environments need protection against physical attacks. For the RSA public-key algorithm, protected versions of the Montgomery powering ladder have gained popularity as countermeasures for such attacks. In this paper, we present a general fault attack against RSA implementations which use the Montgomery powering ladder. In a ...

All of the numerical methods that we have developed for solving initial value problems are onestep methods, because they only use information about the solution at time tn to approximate the solution at time tn+1. As n increases, that means that there are additional values of the solution, at previous times, that could be helpful, but are unused. Multistep methods are time-stepping methods that...

Once an attacker has compromised a set of machines, typically, he will repeatedly deploy the same set of machines to attack different targets. In this paper, we propose a method to identify repeated attack scenarios, that is, the combination of a particular set of hosts and attack tool, by making use of pattern recognition techniques. While previous methods have focused on intrusion detection u...

in this paper, we introduce the new class of implicit l-stable generalized hybrid methods forthe numerical solution of first order initial value problems. we generalize the hybrid methodswith utilize ynv directly in the right hand side of classical hybrid methods. the numericalexperimentation showed that our method is considerably more efficient compared to wellknown methods used for the numer...

The illumination of an accretion disk around a black hole or neutron star by the central compact object or the disk itself often determines its spectrum, stability, and dynamics. The transport of radiation within the disk is in general a multi-dimensional, non-axisymmetric problem, which is challenging to solve. Here, I present a method of decomposing the two-dimensional radiative transfer equa...

In reinforcement learning, the notions of experience replay, and of planning as learning from replayed experience, have long been used to find good policies with minimal training data. Replay can be seen either as model-based reinforcement learning, where the store of past experiences serves as the model, or as a way to avoid a conventional model of the environment altogether. In this paper, we...