Abstract:Cloud computing is popularizing the computing paradigm in which data is outsourced to a third-party service provider (server) for data mining. Outsourcing, however, raises a serious security issue: how can the client of weak computational power verify that the server returned correct mining result? In this paper, we focus on the specific task of frequent item set mining. We consider the server that is potentially untrusted and tries to escape from verification by using its prior knowledge of the outsourced data. We propose efficient probabilistic and deterministic verification approaches to check whether the server has returned correct and complete frequent item sets. Our probabilistic approach can catch incorrect results with high probability, while our deterministic approach measures the result correctness with 100% certainty. We also design efficient verification methods for both cases that the data and the mining setup are updated. We demonstrate the effectiveness and efficiency of our methods using an extensive set of empirical results on real datasets.

Keywords:Cloud computing, data mining as a service (DMas), security, result integrity verification.

Abstract:HealthCare has been a surging need in India. The inception of Smart India, Smart Villages has further emphasized the need of a Smart & Healthy India. However little reflection of such digitally empowered country has been seen in the field of healthcare. This has further increased the importance of the definition of ubiquity of information and computing technology in healthcare that demand constant surveillance and vigilance of healthcare to predict epidemic outbreak and biological attack. The paper’s primary focus is to analyze and determine the spread of diseases and epidemic in cities/villages. And using this analysis to predict where the next outbreak of epidemic will be. This prediction helps the health authorities to take necessary action in terms of assuring that sufficient resources are available to suffice the need and if possible stop the occurrence of such epidemic by taking necessary actions. To achieve this, we use deep neural network as the heart of our prediction. It receives its training from the past experiences of data which we have collected from hospitals and our spread network. Using this training with our dynamic data it makes predictions as well as adaptively learns from the real time data.

Keywords:epidemic prediction, deep learning, recurrent neural network, machine learning, disease spread network

Abstract:Tourism has been noted to be one of the important sectors of the Nigerian economy. Tourism is a highly complex activity which requires tools that aid in an effective decision-making to come to terms with the competing economic, social and environmental demands of sustainable development. Geographic Information System (GIS) is one of such tools. GIS being an information system that is capable of answering questions about where facilities and resources are located represents enormous benefits to the tourism sector of any economy. The power of GIS lies not only in the ability to visualize spatial relationships, but also beyond the space to the holistic view of the world with its many interconnected components and complex relationships. The use of GIS technology could assist Bauchi State government as well as the Nigerian government with better planning of tourism infrastructure, location and dissemination of such infrastructure, production of better quality maps showing tourists sites abound in the country because of the dynamic capability of GIS tools to incorporate changes that occur over time to its database. A GIS database for tourism in Bauchi State was created using some selected roads, tourist attractions and facilities with the aid of base maps and GPS. This paper presents the significant role that GIS can play in tourism development in Bauchi State if a complete database for tourism in the State is designed and developed.

Keywords:GIS, Tourism, Bauchi, Nigeria

Abstract:This paper is in reference with our previous paper entitled “Protection of Key in Private Key Cryptography” published by “International Journal of Advanced Research” in Feb 2017 edition... In this paper we have tried to devise an algorithm that would protect the key in transmission, as in the era of digitization, threats to information security instigate the concerned people to take proactive measures for communication between two communicating parties. Since our major focus is on the symmetric key cryptography, also called as private key cryptography, we have studied different techniques of securing a private key or shared key or secret key that are used to shield information in such systems. The different statistical data being published so far and recent phishing scam which plays with the information transfer by taking away the user’s identity highlights the need to make our security measures strong enough to counter such unwanted accesses. After looking into the functioning of widely accepted protocols and thinking of introducing a few changes to enhance their functionality, we here, are going to focus mainly on application of asymmetric key cryptographic algorithm named RSA algorithm. We have already referred to suggestions by means of several research papers being published so far related to our area of interest such as N-Prime RSA, magic rectangle, etc. We have tried to present a method taking one step ahead in the available sketch and without diminishing the basic essence of the algorithm. We also refer to some examples and its application as thought of in its modified form to further support our idea.

Keywords:Cryptography, Key, Private Key, Public key, Asymmetric or Public Key Cryptography, Symmetric or Private Key Cryptography

Abstract:Fog computing is an exemplification that extends cloud computing, also known as the Edge computing which works on the edge of the cloud. It provides data storage, fast data service, application services and more security in the cloud environment to the users. It overcome all the flaws of the cloud computing. Fog computing is brain behind the IoT. As compare to cloud, more network equipments are connected to computer and data centers in the Fog computing. In this paper, it describes briefly about Fog computing and analyses in-depth wise about the security, issues and its challenges.

Keywords:Fog Computing, Internet of Things(IoT), cloud computing