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The advanced malware continue to be a challenge in digital world that signature-based detection techniques fail to conquer. The malware use many anti-detection techniques to mutate. Thus no virus scanner can claim complete malware detection even for known malware. Static and dynamic analysis techniques focus upon different kinds of malware such as Evasive or Metamorphic malware. This paper proposes a comprehensive approach that combines static checking and dynamic analysis for malware detection. Static analysis is used to check the specific code characteristics. Dynamic analysis is used to analyze the runtime behavior of malware. The authors propose a framework for the automated analysis of an executable's behavior using text mining. Text mining of dynamic attributes identifies the important features for classifying the executable as benign and malware. The synergistic combination proposed in this paper allows detection of not only known variants of malware but even the obfuscated, packed and unknown malware variants and malware evasive to dynamic analysis.

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In this paper a frequency reconfigurable pixel antenna is implemented using PIN diodes. The overall dimension of the patch antenna is 26.9 × 24.5 mm, and it is fabricated on an FR4 substrate. The design is investigated by the simulation and measurement of S 11 parameters and radiation patterns. With different combinations of PIN diode biasing conditions, the antenna can be set to 2.5 GHz, 3.9 GHz, and 10 GHz. The antenna shows a consistent radiation pattern at all the reconfigured frequency bands. In the accessible frequency range, an average gain of 6 dB and low level of cross polarization are also recorded. A good agreement between the measured and simulated results validates the presented concept of frequency reconfiguration.