Recent articles [6, 3, 5, 7] introduce the concept of phase shifting equivalent keys in stream ciphers, and exploit this concept in order to mount attacks on some specific ciphers. The idea behind phase shifting equivalent keys is that, for many ciphers, each internal state can be considered as the result of an injection of a key and initialization vector. This enables speeding up the standard ...

This study was conducted in 2016 with the aim of studying the mediating role of quality services in the relationship between state marketing and customer satisfaction. The population of this study includes all staff and customers of Melli Bank of Shiraz; that among these, 150 people were selected by simple random sampling method. Reliability was confirmed by Cronbach's alpha and composite relia...

Most artificial neural networks have nodes that apply a simple static transfer function, such as a sigmoid or gaussian, to their accumulated inputs. This contrasts with biological neurons, whose transfer functions are dynamic and driven by a rich internal structure. Our artificial neural network approach, which we call state-enhanced neural networks, uses nodes with dynamic transfer functions b...

The Markovian behavioral equivalences defined so far treat exponentially timed internal actions like any other action. Since an exponentially timed internal action has a nonzero duration, it can be observed whenever it is executed between a pair of exponentially timed noninternal actions. However, no difference may be noted at steady state between a sequence of exponentially timed internal acti...

In this work a learning technique to provide an Ambient Intelligence (smart space) system with the capacity of predicting variation events in its own internal state is presented. The system and the interacting users are modeled through the instantaneous state vectors obtained as output of two trained Self Organizing Map-based classifiers. The information processed by the system are collected by...

In this work a learning technique to provide an Ambient Intelligence (smart space) system with the capacity of predicting variation events in its own internal state is presented. The system and the interacting users are modeled through the instantaneous state vectors obtained as output of two trained Self Organizing Map-based classifiers. The information processed by the system is collected by ...

There has been an increasing interest in developing computational theories of autonomous robots. However the previous work has focused on intelligent modifications to internal computational structure of a robot, ignoring modifications to external environments. Our work is the first to formalize the modification of an environment by an introduction of markers that replace the internal state. Rep...

This paper presents an eecient stream cipher using an internal state with variable structure and evolution. Arbitrarily large internal states can be used in order to defeat brute-force guessing attacks without compromising the performance of cipher, and possibly improving it. Attacking is made even more complicated by dynamically chosing diierent topologies and evo-lutions for the cipher's inte...