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Article
Faking smart industry: exploring cyber-threat landscape deploying cloud-based honeypot
The digital evolution of Industry 4.0 enabled Operational Technology infrastructures to operate and remotely maintain cyber-physical systems bridging over IP communications. It has also expanded new attack sur...
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Chapter and Conference Paper
Faking Smart Industry: A Honeypot-Driven Approach for Exploring Cyber Security Threat Landscape
The digital evolution of Industry 4.0 enabled Operational Technology (OT) infrastructures to operate and remotely maintain cyber-physical systems bridging over IT infrastructures. It has also expanded new atta...
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Article
AI-Driven Cybersecurity: An Overview, Security Intelligence Modeling and Research Directions
Artificial intelligence (AI) is one of the key technologies of the Fourth Industrial Revolution (or Industry 4.0), which can be used for the protection of Internet-connected systems from cyber threats, attacks...
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Article
A Data-Driven Heart Disease Prediction Model Through K-Means Clustering-Based Anomaly Detection
Heart disease, alternatively known as cardiovascular disease, is the primary basis of death worldwide over the past few decades. To make an early diagnosis, a data-driven prediction model considering the assoc...
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Chapter and Conference Paper
An Effective Heart Disease Prediction Model Based on Machine Learning Techniques
This paper presents an effective heart disease prediction model through detecting the anomalies, also known as outliers, in healthcare data using the unsupervised K-means clustering algorithm. Most existing appro...
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Chapter and Conference Paper
An Isolation Forest Learning Based Outlier Detection Approach for Effectively Classifying Cyber Anomalies
Cybersecurity has recently gained considerable interest in today’s security issues because of the popularity of the Internet-of-Things (IoT), the considerable growth of mobile networks, and many related apps. ...
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Article
E-MIIM: an ensemble-learning-based context-aware mobile telephony model for intelligent interruption management
Nowadays, mobile telephony interruptions in our daily life activities are common because of the inappropriate ringing notifications of incoming phone calls in different contexts. Such interruptions may impact ...
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Chapter and Conference Paper
A Fuzzy-Based Study for Biomedical Imaging Applications
Recent advancement in biomedical image processing area has been augmented by big data research and machine learning techniques. It is observed that image segmentation is contributing significantly in this doma...
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Chapter and Conference Paper
A Study on Monitoring Coastal Areas for Having a Better Underwater Surveillance Perspective
Surveillance systems for coastal areas especially monitoring ecosystems are becoming more important these days. It is becoming a necessary requirement for coastal areas to protect from various threats such as ...
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Article
A shortly connected mesh topology for high performance and energy efficient network-on-chip architectures
Network-on-chip-based communication schemes represent a promising solution to the increasing complexity of system-on-chip problems. In this paper, we propose a new mesh-like topology called the shortly connect...
