AIMC Topic: Computer Security

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Deep Learning-Based Privacy-Preserving Data Transmission Scheme for Clustered IIoT Environment.

Computational intelligence and neuroscience
The Industrial Internet of Things (IIoT) has received significant attention from several leading industries like agriculture, mining, transport, energy, and healthcare. IIoT acts as a vital part of Industry 4.0 that mainly employs machine learning (M...

Cross Deep Learning Method for Effectively Detecting the Propagation of IoT Botnet.

Sensors (Basel, Switzerland)
In recent times, organisations in a variety of businesses, such as healthcare, education, and others, have been using the Internet of Things (IoT) to produce more competent and improved services. The widespread use of IoT devices makes our lives easi...

TagSeq: Malicious behavior discovery using dynamic analysis.

PloS one
In recent years, studies on malware analysis have noticeably increased in the cybersecurity community. Most recent studies concentrate on malware classification and detection or malicious patterns identification, but as to malware activity, it still ...

Power Intelligent Terminal Intrusion Detection Based on Deep Learning and Cloud Computing.

Computational intelligence and neuroscience
Numerous internal and external intrusion attacks have appeared one after another, which has become a major problem affecting the normal operation of the power system. The power system is the infrastructure of the national economy, ensuring that the i...

Cyber Threat Intelligence-Based Malicious URL Detection Model Using Ensemble Learning.

Sensors (Basel, Switzerland)
Web applications have become ubiquitous for many business sectors due to their platform independence and low operation cost. Billions of users are visiting these applications to accomplish their daily tasks. However, many of these applications are ei...

Analysis of the Challenges of Artificial Intelligence of Things (AIoT) for the Smart Supply Chain (Case Study: FMCG Industries).

Sensors (Basel, Switzerland)
In today's competitive world, supply chain management is one of the fundamental issues facing businesses that affects all an organization's activities to produce products and provide services needed by customers. The technological revolution in suppl...

Lightweight Long Short-Term Memory Variational Auto-Encoder for Multivariate Time Series Anomaly Detection in Industrial Control Systems.

Sensors (Basel, Switzerland)
Heterogeneous cyberattacks against industrial control systems (ICSs) have had a strong impact on the physical world in recent decades. Connecting devices to the internet enables new attack surfaces for attackers. The intrusion of ICSs, such as the ma...

Zero-Day Malware Detection and Effective Malware Analysis Using Shapley Ensemble Boosting and Bagging Approach.

Sensors (Basel, Switzerland)
Software products from all vendors have vulnerabilities that can cause a security concern. Malware is used as a prime exploitation tool to exploit these vulnerabilities. Machine learning (ML) methods are efficient in detecting malware and are state-o...

Improving Diagnosis Through Digital Pathology: Proof-of-Concept Implementation Using Smart Contracts and Decentralized File Storage.

Journal of medical Internet research
BACKGROUND: Recent advancements in digital pathology resulting from advances in imaging and digitization have increased the convenience and usability of pathology for disease diagnosis, especially in oncology, urology, and gastroenteric diagnosis. Ho...

Novel Method for Safeguarding Personal Health Record in Cloud Connection Using Deep Learning Models.

Computational intelligence and neuroscience
It is a new online service paradigm that allows consumers to exchange their health data. Health information management software allows individuals to control and share their health data with other users and healthcare experts. Patient health records ...