In recent days, social media has become a platform to spread false facts all the way through internet. One of the growing data analytic engine from web informal organization says, twitter has become the prime source for spreading fake news facilitating numerous perpetrators around the globe. It has turned into a competent, speedy cum effortless hotspot for news-fans to just click and forward junk data. Individuals are opting to use twitter for searching information regarding crisis circumstances and everyday occasions. In twitter, the spread of fraudulent or inaccurate information during the emergency situations will affect the individuals and public in numerous ways, but the original news is more reliable when it is declared by the news channels. So, the importance of proposed framework is categorized in three steps; Initially, Twitter Scraper is applied to scrape the vast volume of tweets and metadata from the collected set of tweets for the study on former Chief Minister (state of Tamil Nadu) death case controversy during 2016. Then the threshold value based on negative polarity of common tweets for the scraped data is calculated, once the tweeted texts are different from the threshold condition it will be automatically tagged as ‘rumor’ (negative) or else tagged as ‘non-rumor’ (positive) using sentiment classifier. Finally, the proposed model on VADER based sentiment analysis identifies the false facts. It is obtained as a result of the sample tweets regularly training and testing it on whole datasets.
Security is a fundamental prerequisite in self-evolvability network and providing that in any situation is the most problematic task as the network is highly dynamic with no trusted centralized monitoring. On comparing with wired networks MANETs are highly susceptible to security attacks. This article proposed an efficient trust establishment-based routing evidence scheme (ETERE) that carried out in the creation and manipulation of mental representations of information identified. Here, propose I-Trust, probabilistic node misbehavior detection, for secure MANET routing toward ETERE scheme. The fundamental concept of I-Trust is presenting a periodically accessible trusted authority to pass judgment on the behavior of a node dependent on the gathered routing evidences and with self and coordinate monitoring. The main advantage of ETERE scheme is that even if the hackers or the internal attackers have the knowledge of the security scheme, the system cannot be compromised. The performance of ETERE scheme with different routing disturbance attacks is evaluated in this article. The computational outcomes emphasize the effectiveness of ETERE scheme and ensure the routing efficiency. The NS2 simulator is used in this research work. The simulation results show that the proposed ETERE scheme performs better than present methodologies improving the PDR and throughput of the network to a maximum extent of 28% and 34% respectively.
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