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Keywords: wavelet transform, fourier transform, cognitive radio, Haar, DB3
Published in RUNG: 02.04.2021; Views: 1800; Downloads: 0
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Abstract: The growth of wireless applications and spectral limitations are grave anxiety for the military service and for civilian communities. A particular spectrum task force set up by Federal Communications Commission discloses that in many bands spectrum access is a more important problem than physical scarcity of the spectrum. This is in part because present systems use a procedure draw up in the1920s where different frequency bands are allocated to users or service providers, and licenses are needed to operate with those bands. To avail unused spectrum more efficiently in dynamic environments, we desire a communication system that adapts to rapidly changing environmental conditions while ensuring that minimal or at least manageable interference is introduced to existing users. Such a technology is known as cognitive radio (CR) technology. Transform domain communication system (TDCS) and wavelet domain communication system (WDCS) have been reported to have interference avoiding capability under hostile environmental conditions. Conventionally, the Pseudo Random phase vectors in TDCS and WDCS were generated by a maximum length binary Pseudo Random sequence, which allows only a relatively small amount of users in the systems. This paper reports a method of Digital modulations schemes (FSK, PSK, CSK) and communications systems (TDCS,WDCS) for efficient utilization of the spectrum in Cognitive radio.
Keywords: cognitive radio, TDCS, WDCS, spectrum sensing
Published in RUNG: 02.04.2021; Views: 1727; Downloads: 10
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Abstract: Technological advancements in the field of multimedia have made access to information effortless. As information is available easily to everyone so it is quite essential to shield secretive data. This paper focuses on encrypting videos using confusion and diffusion at various levels. Chaotic skew tent map and nested piecewise linear chaotic map which are categorized under piecewise linear maps have been used for the processing. Two skew tent maps are cross coupled with each other to generate random values. The binary sequences are generated by comparing the outputs of the cross coupled piecewise linear chaotic maps. The generated binary sequence is used for bit level diffusion. Further, pixels are shuffled to provide higher level of encryption. The ciphered video is of the same size as that of plain video. The proposed scheme is of low complexity and provides high level encryption. The security analysis of the technique has been carried out and better results have been found regarding the statistical and differential attacks. The code development has been done in MATLAB and the scheme is applicable in areas like Video Encryption, Steganography and Digital Watermarking on various lightweight devices.
Keywords: video processing, multimedia encryption, chaotic maps, lightweight device security
Published in RUNG: 01.04.2021; Views: 1970; Downloads: 0
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Abstract: Rural Kiosks are important infrastructural pillar in rural regions for internet and basic technology facility all around the world. They are also known as Tele-centers or Common Service Centers and are majorly used by government to promote Electronic Governance. The major characteristic of setting up of Rural Kiosk is their appropriate location so that people from rural region can avail the services at minimum travel cost and time. There are lot of traditional schemes used by researchers in past for location allocation but this paper proposes the usage of Fuzzy C-Means clustering and BAT algorithm to optimize the location of Rural Kiosk. The meta-heuristic approach has produced better results as compared to normal graph theories in past. The experiment has been conducted on a random data set of 72 village locations from India and their clusters are formed. It is found that using only Fuzzy C-Means clustering to allocate the center and by using it in combination with BAT algorithm produced up to 25% of efficient results. This can drastically help the key stakeholders in allocation of these Rural Kiosks at right places so as to maximize their utility.
Keywords: BAT algorithm, location allocation, rural kiosks, fuzzy C-means, e-governance, tele-centers, common service centers
Published in RUNG: 01.04.2021; Views: 1947; Downloads: 0
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Abstract: With the rapid rise of technology, many unusual and unwanted patterns have been observed in the communication network andrespective systems. This may be attributed to the increase of external threats that cause many security concerns. Such anomalies and unusual behavior lead to a strong need of studying and designing the Intrusion Detection Systems and Clustering. Currently,a variety of clustering methods and their combinations are used to develop an efficient intrusion detection system, but some metrics like low detection rate and high false alarm rate make these models unsatisfactory. The problem of local minima for clustering technique makes their search ability less efficient. An evolutionary technique called particle swarm optimization algorithm, that is based on swarm intelligence, shows a high global maxima search capability. In this paper, these two techniques have been combined to present a novel approach called fuzzy based particle swarm algorithm for the implementation of intrusion detection system. The experiment was conducted on a new data set called Kyoto data set with more number of anomalies. The obtained results were compared with two traditional clustering techniques based on K-Means and Fuzzy C-Means. It was observed that the proposed algorithm outperformed the other two traditional methods on the basis of the Detection Rate and False Alarm rate. In past some researchers have presented the combination of Fuzzy Based Particle Swarm Optimization algorithm to improve the intrusion detection rate,but this rate has been further improved because the algorithm performance depends on the termination condition and the fitness function value which are new in the proposed algorithm. Moreover, cluster numbers have been considered differently in the past, whereas the proposed algorithm works only on binary clustering.
Keywords: intrusion detection, fuzzy C-means clustering, particle swarm optimization, detection rate, e-governance
Published in RUNG: 01.04.2021; Views: 1923; Downloads: 0
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