Survey on designing framework for analyzing twitter spammers using forensic method

In the last few decades, a dynamic growth in the number of research works conducted in the area of cyber forensic. This paper gives short reviews analysis and detecting twitter spammers using network forensic approach. In Today´s world a social networking service is a platform to build social networks or social relations among people who share interests, activities, backgrounds or real-life connections. Digital forensics is an established field in civilization and criminal investigations. In the enterprise, digital investigations are often associated with incident response the detection and investigation of online social networking spammers. This paper examines the comparison of different forensic tool and its parameters. The previous results focus a number of usability issues that need to be taken into consideration when designing and implementing network forensic tools. In this paper general methodology is discussed for forensic data analysis and also the survey of various forensic data analysis tools and approach in use to capturing data from different resources.