- Improvised Technique for Analyzing Data and Detecting Terrorist ...🔍
- Detection and Prediction of Terrorist Activities and Threatening ...🔍
- Terrorist Group Prediction Using Data Classification🔍
- Detection of terrorist attack event workflow.🔍
- COUNTERING TERRORISM ONLINE WITH ARTIFICIAL ...🔍
- JCAT Counterterrorism Guide For Public Safety Personnel🔍
- Counter Terrorism and Homeland Security Threats🔍
- Mahmuda Khatun🔍
Improvised Technique for Analyzing Data and Detecting Terrorist ...
Improvised Technique for Analyzing Data and Detecting Terrorist ...
Discover an improved system model for analyzing Twitter data and detecting terrorist attack events. Utilizing machine learning algorithms, ...
Improvised Technique for Analyzing Data and Detecting Terrorist ...
An improved system model to analyze twitter data and detect terrorist attack event is introduced and the achieved result shows that the ...
Improvised Technique for Analyzing Data and Detecting Terrorist ...
In this model, a ternary search is used to find the weights of predefined keywords and the Aho-Corasick algorithm is applied to perform pattern ...
Detection and Prediction of Terrorist Activities and Threatening ...
Predicting terrorist attacks is a complicated task as the methods used are susceptible to overruling by cunning hacker activities. Yet, attack prediction serves ...
Improvised Technique for Analyzing Data and Detecting Terrorist ...
"Improvised Technique for Analyzing Data and Detecting Terrorist Attack Using Machine Learning Approach Based on Twitter Data" written by Aditi Sarker, ...
(PDF) Improvised Technique for Analyzing Data and Detecting ...
We are accessing the data from twitter hashtags for analysing the tweets relevant to the terrorism so as to check if any account is associated to terrorist ...
Terrorist Group Prediction Using Data Classification
This research proposes a novel ensemble framework for the classification and prediction of the terrorist group that consists of four base classifiers namely ...
Detection of terrorist attack event workflow. - ResearchGate
Aditi, Parth, et al. [15] created a Twitter-based algorithm that uses tweets about attacks to identify terrorist acts. To determine tweet types, they employed a ...
Topic: Countering terrorism - NATO
Terrorism is the most direct asymmetric threat to the security of the citizens of NATO countries, and to international stability and ...
Improvised Technique for Analyzing Data and Detecting Terrorist ...
Improvised Technique for Analyzing Data and Detecting Terrorist Attack Using Machine Learning Approach Based on Twitter Data. Sarker A., Chakraborty P., ...
COUNTERING TERRORISM ONLINE WITH ARTIFICIAL ...
Additionally, given an established terrorist and violent extremist presence in South Asia and South-East Asia, law enforcement and counter-terrorism agencies in ...
Improvised Technique for Analyzing Data and Detecting Terrorist ...
Connected Papers is a visual tool to help researchers and applied scientists find academic papers relevant to their field of work.
JCAT Counterterrorism Guide For Public Safety Personnel - DNI.gov
Although fusion centers predate the 9/11 terrorist attacks, the concept gained momentum and was promoted by state and local law enforcement and homeland ...
Counter Terrorism and Homeland Security Threats
The rapidly evolving threat environment demands a proactive response by DHS and its partners to identify, detect, and prevent attacks against ...
Mahmuda Khatun - Google 学术搜索 - Google Scholar
Improvised technique for analyzing data and detecting terrorist attack using machine learning approach based on twitter data. A Sarker, P Chakraborty, SMS Sha, ...
Emerging Technologies May Heighten Terrorist Threats - DNI.gov
In the coming years, the development of emerging and disruptive technologiesa may transform the capabilities of terrorists, complicating ...
The Rising Threat of Anti-Government Domestic Terrorism - CSIS
The number of domestic terrorist attacks and plots against government targets motivated by partisan political beliefs in the past five years is nearly triple.
The landscape of soft computing applications for terrorism analysis
Saurabh Ranjan Srivastava is a doctoral research scholar in the Department of Computer Science & Engineering at Malaviya National Institute of Technology Jaipur ...
Managing the Emergency Consequences of Terrorist Incidents - FEMA
The initial detection of a WMD terrorist attack will likely occur at ... information through various methods, and (4) monitoring and analysis of news media.
Preventing Terrorism and Targeted Violence | Homeland Security
Protecting the American people from terrorist threats is the reason DHS was created, and remains our highest priority.