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The aim of the study is to introduce some appropriate approaches which might help in improving the efficiency of weather's parameters. Weather is a natural phenomenon for which forecasting is a great challenge today. Weather parameters such as Rainfall, Relative Humidity , Wind Speed , Air Temperature are highly non-linear and complex phenomena, which include statistical simulation and modeling for its correct forecasting. Weather Forecasting is used to simplify the purpose of knowledge and tools which are used for the state of atmosphere at a given place. The expectations are becoming more complicated due to changing weather state. There are different software and their types are available for Time Series forecasting. Our aim is to analyze the parameter and do the comparison of some strategies in predicting these temperatures. Here we tend to analyze the data of given parameters and to notice their predictions for a particular period by using the strategy of Autoregressive Integrated Moving Average (ARIMA) and Exponential Smoothing (ETS) .The data from meteorological centers has been taken for the comparison of methods using packages such as ggplot2, forecast, time Date in R and automatic prediction strategies which are available within the package applied for modeling with ARIMA and ETS methods. On the basis of accuracy we tend to attempt the simplest methodology and then we will compare our model on the basis of MAE, MASE, MAPE and RMSE. An identification of model will be the chromatic checkup of both the ACF and PACF to hypothesize many probable models which are going to be projected by selection criteria i.e. AIC, AICc and BIC.

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Now a days, our life is totally dependent on internet which in turn leads to different kind of intrusion. In order to detect intrusion, detection tool is needed so as to detect any kind of intrusion without user involvement. Intrusion detection system is a process of analyzing intrusion so as to provide secured data transmission in networking. One of the most used tools in analyzing packets is Wireshark. Nevertheless, Wireshark is less effective in detecting the intrusion still it can be used to intercept and detect network encrypted traffic which will analyze the captured traffic. Wireshark helps in identifying number of attacks like DoS, DDOS etc. SNORT take all live packets from internet and captured the live packets with predefined rules and if matches didn’t find then directs alert messages to the user. In this method, router is used to access internet so as to get precise flow of data packets. It generates a log file which entails all the live captured packets. The log file “Wi-Fi” generated by SNORT tool is then exported to Wireshark to examine the captured network packets. The Wireshark tool creates each detail about the packets of the recorded log file. In this paper, the I/O graph outlined the flow of the packet which demonstrations the total traffic which is further measured in either bytes or packets per second. TCP errors and delta time graph are shown.

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