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  • 1.
    Aqeel-ur, Rehman
    et al.
    COMSATS Institute of Information Technology, Vehari, Pakistan.
    Liao, Xiaofeng
    College of Electronics and Information Engineering, Southwest University, Chongqing, China.
    Hahsmi, Muntazim Abbas
    Khawaja Fareed University of Engineering and IT, RYK, Pakistan.
    Haider, Rizwan
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology.
    An efficient mixed inter-intra pixels substitution at 2bits-level for image encryption technique using DNA and chaos2018In: Optik (Stuttgart), ISSN 0030-4026, E-ISSN 1618-1336, Vol. 153, p. 117-134Article in journal (Refereed)
    Abstract [en]

    In this paper, an image encryption system is proposed that uses only addition operation to achieve higher efficiency at diffusion phase after DNA encoding at pixel level. The image is first permuted and then encoded into DNA bases using sub-set of DNA complementary rules chaotically. Afterwards, the adjacent columns of DNA encoded image are added in the substitution phase named as inter-intra pixels substitution which followed by row addition named as inter-pixels substitution. This substitution is performed by adding DNA bases where each DNA base is composed of 2-bits. The addition operation performs randomly between DNA bases named mixed inter-intra pixel substitution. To strengthen security, initial conditions for chaotic maps are computed from SHA-256 hash of plain image which leads to enhance the resistance against known/chosen-plaintext and differential attacks. Due to fewer computational operations, the efficiency of the proposed cipher is high. The simulated results show that the proposed technique is extremely robust against statistical and differential attacks. It successfully surpassed the statistical tests such as Histogram, Correlation, Chi-Square and Entropy. For differential attack, it passed quantitative as well as qualitative Number of Pixel Change Rate (NPCR) and Unified Average Cipher Intensity (UACI) tests in a single round of encryption. 

  • 2.
    Esebamen, Omeime X.
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.
    Effect of UV radiation surface damage on silicon position sensitive photodetector2016In: Optik (Stuttgart), ISSN 0030-4026, E-ISSN 1618-1336, Vol. 127, no 2, p. 599-602Article in journal (Refereed)
    Abstract [en]

    As a result of the ever increasing energetic UV radiation doses and the need for more radiation hard devices, damage and degradation testing of optical sensors have become very imperative. In this report, results describing the effect of prolonged UV beam irradiation on the performance of a p+n duo-lateral position sensitive detector (lPSD) are reported. The results include the use of a simple method to visualize in 3-dimensional graphs, the effect of radiation damage on the lPSD sensitivity and position detection deviation over the entire active area. The results also show that the ionization damage effects at the Silicon-Silicon oxide interface result in decrease in sensitivity, increase in position detection deviation, and increase in leakage and shot noise current.

  • 3.
    Yan, J.
    et al.
    Institute of Lightwave Technology, Beijing Jiaotong University, Beijing 100044, China.
    Pei, L.
    Institute of Lightwave Technology, Beijing Jiaotong University, Beijing 100044, China.
    Chen, Z.
    Institute of Lightwave Technology, Beijing Jiaotong University, Beijing 100044, China.
    Wang, Mengjiao
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Local adaptive sampling for wireless sensor network powered by energy harvesting2012In: Optik (Stuttgart), ISSN 0030-4026, E-ISSN 1618-1336, Vol. 123, no 23, p. 2195-2197Article in journal (Refereed)
    Abstract [en]

    For a sensor network, energy limitation is always a key factor to affect the continuous work of a sensor node. A good idea is harvesting energy from the environment to support the node to work continuously. However, energy from environment is varied with time, weather and season. So in order to use the varied environment energy, it is necessary to find a way to achieve real-time monitoring and adaptive working. In this paper, an algorithm called "Adaptive Sampling" was proposed to adapt the sample mode to the present energy condition. Simulation proves that the algorithm can make the CO2 sensor flexibly achieve adaptive sampling under different energy condition with the least MSE 2.7767. This algorithm can be widely used in wireless sensor network power by energy harvesting for local adaptive sampling. © 2011 Elsevier GmbH. All rights reserved.

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