Mohammed Abdalsalam^1,*, Chunlin Li¹, Abdelghani Dahou², Natalia Kryvinska³

CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.2, pp. 1427-1467, 2024, DOI:10.32604/cmes.2023.029911

Abstract One of the biggest dangers to society today is terrorism, where attacks have become one of the most significant risks to international peace and national security. Big data, information analysis, and artificial intelligence (AI) have become the basis for making strategic decisions in many sensitive areas, such as fraud detection, risk management, medical diagnosis, and counter-terrorism. However, there is still a need to assess how terrorist attacks are related, initiated, and detected. For this purpose, we propose a novel framework for classifying and predicting terrorist attacks. The proposed framework posits that neglected text attributes included in the Global Terrorism Database… More >

Mian Ahmad Hanan^1,*, Arooj Arshad², Noshina Saleem³, Shamaila Asad²

International Journal of Mental Health Promotion, Vol.23, No.4, pp. 565-575, 2021, DOI:10.32604/IJMHP.2021.011168

Abstract Previous research on media coverage of terrorism and its associated psychological consequences was explored internationally particularly after 9/11 attacks in the US. Also, the constructive role of resilience in this traumatic era has also been explored internationally. However, some studies have been conducted on the effect of media coverage of national terrorism on people that have endured a nearby terrorist attack. Moreover, knowledge about how the media coverage of terrorism, as a secondary source of evidence, can have devastated effects on native’s mental health and how resilience work in this relationship is rather limited. For example, it is possible that… More >

Nasir Mahmood^*, Muhammad Usman Ghani Khan

CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 4411-4428, 2022, DOI:10.32604/cmc.2022.013956

Abstract This study proposes an architecture for the prediction of extremist human behaviour from projected suicide bombings. By linking ‘dots’ of police data comprising scattered information of people, groups, logistics, locations, communication, and spatiotemporal characters on different social media groups, the proposed architecture will spawn beneficial information. This useful information will, in turn, help the police both in predicting potential terrorist events and in investigating previous events. Furthermore, this architecture will aid in the identification of criminals and their associates and handlers. Terrorism is psychological warfare, which, in the broadest sense, can be defined as the utilisation of deliberate violence for… More >

Afzal Badshah¹, Anwar Ghani¹, Muhammad Ahsan Qureshi², Shahaboddin Shamshirband,^3,4,*

CMC-Computers, Materials & Continua, Vol.61, No.1, pp. 81-101, 2019, DOI:10.32604/cmc.2019.06288

Abstract Educational institutions are soft targets for the terrorist with massive and defenseless people. In the recent past, numbers of such attacks have been executed around the world. Conducting research, in order to provide a secure environment to the educational institutions is a challenging task. This effort is motivated by recent assaults, made at Army Public School Peshawar, following another attack at Charsada University, Khyber Pukhtun Khwa, Pakistan and also the Santa Fe High School Texas, USA massacre. This study uses the basic technologies of edge computing, cloud computing and IoT to design a smart emergency alarm system framework. IoT is… More >