Iqbal H. Sarker, A. S. M. Kayes, Shahriar Badsha, Hamed Alqahtani et al.
Abstract In a computing context, cybersecurity is undergoing massive shifts in technology and its operations in recent days, and data science is driving the change. Extracting security incident patterns or insights from cybersecurity data and building corresponding data-driven model , is the key to ...
Hamed Alqahtani, Iqbal H. Sarker, Asra Kalim, Syed Md. Minhaz Hossain et al.
As the alarming growth of connectivity of computers and the significant number of computer-related applications increase in recent years, the challenge of fulfilling cyber-security is increasing consistently. It also needs a proper protection system for numerous cyberattacks. Thus, detecting inconsi...
Sumitra Das Guptta, Khandaker Tayef Shahriar, Hamed Alqahtani, Dheyaaldin Alsalman et al.
In this paper, we mainly present a machine learning based approach to detect real-time phishing websites by taking into account URL and hyperlink based hybrid features to achieve high accuracy without relying on any third-party systems. In phishing, the attackers typically try to deceive internet us...
Iqbal H. Sarker, Hamed Alqahtani, Fawaz Alsolami, Asif Irshad Khan et al.
Abstract Nowadays, machine learning classification techniques have been successfully used while building data-driven intelligent predictive systems in various application areas including smartphone apps. For an effective context-aware system, context pre-modeling is considered as a key issue and tas...
Iqbal H. Sarker, Md Faruque, Hamed Alqahtani, Asra Kalim
Nowadays, eHealth service has become a booming area, which refers to computer-based health care and information delivery to improve health service locally, regionally and worldwide. An effective disease risk prediction model by analyzing electronic health data benefits not only to care a patient b
Rubaiath E Ulfath, Hamed Alqahtani, Mohammad Hammoudeh, Iqbal H. Sarker
Smartphones are prone to SMS phishing due to the rapid growth in the availability of smart mobile technologies driven by Internet connections. Also, detecting phishing SMS is a challenging task due to the unstructured nature of SMS text data with non-linear complex correlations. In this concern, con...
Nuruzzaman Faruqui, Priyabrata Thatoi, Rohit Choudhary, Ivana Roncevic et al.
Managing the System Development Lifecycle (SDLC) is a complex task because of its involvement in coordinating diverse activities, stakeholders, and resources while ensuring project goals are met efficiently. The complex nature of the SDLC process leaves plenty of scope for human error, which impacts...
Mohamed Y. Hanfi, Ahmed E. Abdel Gawad, Atef Mohamed Abu-Donia, Hanaa A. Abu Khoziem et al.
Syed Md. Minhaz Hossain, Jayed Akbar Sumon, Anik Sen, Md. Iftaker Alam et al.
Rony Chowdhury Ripan, Md. Moinul Islam, Hamed Alqahtani, Iqbal H. Sarker
Abstract Due to the popularity of Internet of Things devices, the exponential progress of computer networks, and a plethora of associated applications, cybersecurity has recently attracted much attention in light of today's security problems . As a result, detecting various cyber‐attacks within a ne...
Nowshin Tasnim, Khandaker Tayef Shahriar, Hamed Alqahtani, Iqbal H. Sarker
Rubaiath E Ulfath, Hamed Alqahtani, Mohammad Hammoudeh, Iqbal H. Sarker
Smartphones are prone to SMS phishing due to the rapid growth in the availability of smart mobile technologies driven by Internet connections. Also, detecting phishing SMS is a challenging task due to the unstructured nature of SMS text data with non-linear complex correlations. In this concern, con...