Aiming at the problem that the Cognitive User(CU) communication quality can not be ensured in the detect-avoid transmission mechanism of traditional Cognitive Radio(CR) system, a subspace decomposition based transmission mechanism is proposed, in which the advantage of Multiple Input Multiple Output(MIMO) about spatial processing is utilized. The noise space is calculated by using subspace decomposition of covariance matrix during the channel detection. The transmit signal is projected into the noise space combining precoding and the system performance is optimized by power waterfilling during the data transmitting. Simulation result shows that the proposed algorithm can realize the spatial multiplexing between the CU and Primary User(PU), in which the frequency spectrum utilization is enhanced effectively.
This paper discusses the Structured Exception Handling(SEH) and related protection mechanism, from the perspective of attackers, summarizes the technology of SEH vulnerability exploitation. It uses heap addresses or addresses outside of protection modules to overwrite the pointer of SEH handles to bypass SafeSEH, and fakes SEH chain to bypass SEHOP. It analyzes some major methods of making program execution flow locate the Shellcode. Example verifies the effectiveness of the SHE vulnerability exploitation technology.
Aiming at promoting the reusability and integratability of automotive software, this paper refers to the automotive open system architecture standard AUTOSAR Operating System(OS) specification which is a standard for automotive industry, discusses the design approach of function modules such as schedule table, OS-application and timing protection on the basis of OSEK/VDX OS. It implements it on MC9S08DZ60, which is a freescale 8-bit microprocessor chip. It tests storage demand and real-time performance of the system, the result of which shows the system meets the requirements of embedded real-time OS.
Aiming at the defects of image encryption algorithms which only use the chaotic system’s significant properties, such as sensitivity to initial condition, to scrambling and diffusion, a new image encryption method that has to do with the plaintext image is proposed. Partial plaintext information is extracted, which is used to control the generation of keys that are prepared for encrypting the plaintext, then in the process of encryption the characteristic of the binary is carried on block encryption, and a diffusion encryption for above image is further treated. Theoretical analysis and simulation demonstrate that the algorithm has a large key space, and its encryption image is very sensitive to keys, so it has a good ability of anti-plaintext attacks and anti-statistics attacks, and is more safer than only scrambling and diffusing for image, moreover the experimental result is ideal, thus it can be widely used in information security field.
A study of Markov characteristics for simplifying the model of high frequency channel is presented aiming at the problem of the randomly time-varying tap which is difficult to estimate. By partitioning the continuous-value channel gain into a finite number of states are modeled as a first-order Finite-state Markov(FSM) chain. The parameters of the FSM model such as stationary probability and transition probability are calculated with the given fading characteristic parameters. It analyzes the average error probability and the characteristics of state duration for the FSM model. The validity and accuracy of the model are confirmed by the simulation.
The previous search on text error-detecting focused on words-level, and the syntax and semantic errors reasoning are not paid enough attention. Words, syntax and semantic knowledge bases are enlarged and constructed by taking advantage of statistic model and massive People’s Daily corpus to resolve the relevant level error reasoning, and the relevant multi-level reasoning model is put forward. The comprehensive three-level text proofreading algorithm is implemented. The constructed system can check various text errors. Experimental results show that the system has a better performance, and the recall rate is 85.62%.