The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In most power analysis attack, power traces obtained from the cryptographic device are aligned using a crypto device based triggering signal. In reality, the attacker does not have the luxury of inserting a trigger in the encryption device source code. This paper aims to execute a CPA attack on an 8 bit PIC-microcontroller (μC) implementation of AES-128 encryption without a crypto μC-based triggering...
A new method for generation of binary pseudorandom sequences (BPR-sequences) with quasi-perfect periodic and inverse periodic autocorrelation has been suggested for applications in radars. The method is based upon a modified discrete multi-dimensional chaotic map with two delays. Various BPR-sequences generated according to the method suggested has been analyzed using computer simulation. Spectrums...
Recently, several CSMA algorithms based on the Glauber dynamics model have been proposed for wireless link scheduling, as viable solutions to achieve the throughput optimality, yet simple to implement. However, their delay performance still remains unsatisfactory, mainly due to the nature of the underlying Markov chains that imposes a fundamental constraint on how the link state can evolve over time...
Cyber-Physical Systems (CPS) require tools that enable development of design methodology that supports analysis and modeling of Interaction Dynamics of Concurrent Processes (IDCP) represented by the measurement data provided by smart acquisition systems. In this paper, are presented some results of the project aiming at the development of algorithms and software tools that could detect short-lived...
This paper considers the problem of tracking a dynamic sparse channel in a broadband wireless communication system. A probabilistic signal model is firstly proposed to describe the special features of temporal correlations of dynamic sparse channels: path delays change slowly over time, while path gains evolve faster. Based on such temporal correlations, we then propose the differential orthogonal...
In this paper, by exploiting the special features of temporal correlations of dynamic sparse channels that path delays change slowly over time but path gains evolve faster, we propose the structured matching pursuit (SMP) algorithm to realize the reconstruction of dynamic sparse channels. Specifically, the SMP algorithm divides the path delays of dynamic sparse channels into two different parts to...
Recently, several CSMA algorithms based on the Glauber dynamics model have been proposed for multihop wireless scheduling, as viable solutions to achieve the throughput optimality, yet simple to implement. However, their delay performance still remains unsatisfactory, mainly due to the nature of the underlying Markov chains that imposes a fundamental constraint on how the link state can evolve over...
Traditionally embedding parameters: embedding dimension m and delay time τ are determined separately in state space reconstruction of chaotic dynamical systems. While recently some researchers argued that delay time window τw = (m-1)τ should be determined first. In this paper we carry out a contrast test and come to a conclusion that m rather than τw is more crucial for the quality of reconstruction...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.