The rapid expansion of internet usage and related services like social media and blogs has increased people's level of expressiveness in day-to-day life. Social media platforms like Twitter and Facebook facilitate people to interact and exchange opinions about people, products, and services. As a result, a vast amount of data is available online in the form of views, tweets, messages, audio, and videos. An interface is needed to collect knowledge and insights from the various tweets, ideas, and comments. Thus we have proposed the Twitter API-based Interface, able to perform Hashtag searches and extract tweets from Twitter along with the ample number of fields related to the Twitter object. Using the interface, the 55 properties of each tweet are collected and used for further investigations. The python-based library called Tweepy is used to interact with the Twitter API. Due to the availability of real-worlddata, various issues related to text analysis can be addressed. The problems such as Sentiment Analysis, Opinion Mining, Implicit and Explicit detection, genuineness of views, and Opinion Spam detection can be addressed using the dataset availability.

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Information security is one of the most challenging problems facing network designers and operations managers. Along with viruses and worms, Denial of Service (DoS) attacks constitutes one of the major threats to the current Internet. Denial of Service attacks aims to crash a server or a network in order to paralyze its normal activity. Today, most organizations provide services over the internet hence an attack which targets their resources on the Internet. Denial of service is major class of security threat today. As attacker usually uses fake IP to hide their real location. One effective means to defend against such attacks is to locate the attack source and to filter out the attack traffic. To locate the attack source, this paper proposes an effective defense and IP trace back mechanisms. For implementing effective defense and trace back mechanisms against Denial of Service attacks such as SYN Flood and ICMP Flood we construct a simulation environment Using Network Simulator version 2.