Characterizing and Countering Communal Micro blogs During Disaster Events

Aim: The objective of this project is to develop a system to identify the tweet harbor hatred in micro blogs during disaster events. Existing System: The existing system uses sentiment analysis technique to identify the sentiment of the tweet. However this is not sufficient to identify the anti-social messages. The sentiment analysis might give the […]

FEDERAL: A Framework for Distance-Aware Privacy-Preserving Record Linkage

Aim: The aim of this project is to encode the integer value and string value, sent to health ministry (TPA) in proper security. Existing System: In this section, non-matching pairs as small as possible. In the second step, termed as matching, the distances between the pairs formed during the blocking step are calculated. Approximate matching […]

Efficient Detection of Overlapping Communities Using Asymmetric Triangle Cuts

Aim: The aim of the project is community does not overlapping the social network then communities intermediate will be revoke the community does not perform this problem also resolve this project. Existing System: Social network communities are overlapping because the user join us multiple community and posted file like whatapp, facebook its one posted share […]

Learning from the Ones that Got Away: Detecting New Forms of Phishing Attacks

Aim: The aim of this project is to identify the phishing attacked mails by using the Semi-Automated Feature generation for Phish Classification and show that mail into separate tag also used a training set to identify phishing attacked mails. Existing System: Phishing continues to be a viable attack vector despite progress in production-deployed phishing filters. […]