Academic Articles & Research Papers

Execution Anomaly Detection in Distributed Systems through Unstructured Log Analysis

Detection of execution anomalies is very important for the maintenance, development, and performance refinement of large scale distributed systems. Execution anomalies include both work flow errors and low performance problems. People often...

Toward a Global Cybersecurity Standard of Care? Exploring the Implications of the 2014 NIST Cybersecurity Framework on Shaping Reasonable National and International Cybersecurity Practices

"Even though U.S. congressional and multilateral efforts aimed at enhancing cybersecurity have thus far largely failed in their aims, courts are using existing doctrines including negligence to hold companies accountable for cyber attacks. ...

Cybersecurity

CybersecurityNowadays, the Internet is integrated into society both through social interaction and business transactions, so the need for data protection and security has become increasingly important.In addition, not only computers, but al...

Machine Learning and Deep Learning Methods for Cybersecurity

With the development of the Internet, cyber-attacks are changing rapidly and the cyber security situation is not optimistic. This survey report describes key literature surveys on machine learning (ML) and deep learning (DL) methods for net...

Graph Mining for Cybersecurity: A Survey

The explosive growth of cyber attacks today, such as malware, spam, and intrusions, has caused severe consequences on society. Securing cyberspace has become a great concern for organizations and governments. Traditional machine learning ba...

Cybersecurity: Stakeholder incentives, externalities, and policy options

Semi-State Actors in Cybersecurity

Abstract What does the global telecommunications company Huawei, a hacking-for-hire outfit in India, and Russian cyber criminals have in common? They all share a special relationship to the state, which significantly shapes the politics of ...

Explainable artificial intelligence for cybersecurity: a literature survey

Abstract With the extensive application of deep learning (DL) algorithms in recent years, e.g., for detecting Android malware or vulnerable source code, artificial intelligence (AI) and machine learning (ML) are increasingly becoming essent...

iNNvestigate neural networks!

In recent years, deep neural networks have revolutionized many application domains of machine learning and are key components of many critical decision or predictive processes. Therefore, it is crucial that domain specialists can understand...

Photonic Neural Networks: A Survey

Photonic solutions are today a mature industrial reality concerning high speed, high throughput data communication and switching infrastructures. It is still a matter of investigation to what extent photonics will play a role in next-genera...

Bidirectional recurrent neural networks

In the first part of this paper, a regular recurrent neural network (RNN) is extended to a bidirectional recurrent neural network (BRNN). The BRNN can be trained without the limitation of using input information just up to a preset future f...

Joint Optimization of Transform and Quantization for High Efficiency Video Coding

In high efficiency video coding (HEVC), transformation and quantization are separately performed to eliminate the perceptual redundancy of visual signals. However, a uniform quantizer can inevitably degrade the compression efficiency of fix...

FCM Clustering Algorithms for Segmentation of Brain MR Images

The study of brain disorders requires accurate tissue segmentation of magnetic resonance (MR) brain images which is very important for detecting tumors, edema, and necrotic tissues. Segmentation of brain images, especially into three main t...

IEEE Access Special Section Editorial: Toward Service-Centric Internet of Things (IoT): From Modeling to Practice

The Internet of Things (IoT) refers to an emerging paradigm to seamlessly and ubiquitously integrate a large number of smart things with intra/inter links to the physical and cyber worlds. Sensor-enabled communication technologies connect b...

A <italic>&#x03BC;</italic>-Synthesis Framework for Multi-Domain Robust Load Frequency Control Under Concurrent Communication Delays and Parametric Uncertainties

The integration of communication networks into modern power systems introduces variable time delays that degrade the performance of traditional Load Frequency Control (LFC), while the shift towards renewable energy sources increases system ...

Quantum Computing

Time-Aware Service Ranking Prediction in the Internet of Things Environment

With the rapid development of the Internet of things (IoT), building IoT systems with high quality of service (QoS) has become an urgent requirement in both academia and industry. During the procedures of building IoT systems, QoS-aware ser...

The smartHEALTH European Digital Innovation Hub experiences and challenges for accelerating the transformation of public and private organizations within the innovation ecosystem

Digital innovation can significantly enhance public health services, environmental sustainability, and social welfare. To this end, the European Digital Innovation Hub (EDIH) initiative was funded by the European Commission and national gov...

Practical Employment of Granular Computing to Complex Application Layer Cyberattack Detection

Network and information security are regarded as some of the most pressing problems of contemporary economy, affecting both individual citizens and entire societies, making them a highlight for homeland security. Innovative approaches to ha...

Blockchain's roles in strengthening cybersecurity and protecting privacy