AIMC Topic: Computer Security

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Intrusion Detection in IoT Using Deep Learning.

Sensors (Basel, Switzerland)
Cybersecurity has been widely used in various applications, such as intelligent industrial systems, homes, personal devices, and cars, and has led to innovative developments that continue to face challenges in solving problems related to security met...

IIB-CPE: Inter and Intra Block Processing-Based Compressible Perceptual Encryption Method for Privacy-Preserving Deep Learning.

Sensors (Basel, Switzerland)
Perceptual encryption (PE) of images protects visual information while retaining the intrinsic properties necessary to enable computation in the encryption domain. Block-based PE produces JPEG-compliant images with almost the same compression savings...

Memory Visualization-Based Malware Detection Technique.

Sensors (Basel, Switzerland)
Advanced Persistent Threat is an attack campaign in which an intruder or team of intruders establishes a long-term presence on a network to mine sensitive data, which becomes more dangerous when combined with polymorphic malware. This type of malware...

Analysis of Security Issues in Wireless Body Area Networks in Heterogeneous Networks.

Sensors (Basel, Switzerland)
Body Area Network (BAN) is one of the most important techniques for observing patient health in real time and identifying and analyzing diseases. For effective implementation of this technology in practice and to benefit from it, there are some key i...

Next-Generation Capabilities in Trusted Research Environments: Interview Study.

Journal of medical Internet research
BACKGROUND: A Trusted Research Environment (TRE; also known as a Safe Haven) is an environment supported by trained staff and agreed processes (principles and standards), providing access to data for research while protecting patient confidentiality....

Ransomware detection using deep learning based unsupervised feature extraction and a cost sensitive Pareto Ensemble classifier.

Scientific reports
Ransomware attacks pose a serious threat to Internet resources due to their far-reaching effects. It's Zero-day variants are even more hazardous, as less is known about them. In this regard, when used for ransomware attack detection, conventional mac...

Neurodynamic approaches for sparse recovery problem with linear inequality constraints.

Neural networks : the official journal of the International Neural Network Society
This paper develops two neurodynamic approaches for solving the L-minimization problem with the linear inequality constraints. First, a centralized neurodynamic approach is proposed based on projection operator and nonnegative quadrant. The stability...

WoX+: A Meta-Model-Driven Approach to Mine User Habits and Provide Continuous Authentication in the Smart City.

Sensors (Basel, Switzerland)
The literature is rich in techniques and methods to perform Continuous Authentication (CA) using biometric data, both physiological and behavioral. As a recent trend, less invasive methods such as the ones based on context-aware recognition allows th...

Poisoning Attack Against Estimating From Pairwise Comparisons.

IEEE transactions on pattern analysis and machine intelligence
As pairwise ranking becomes broadly employed for elections, sports competitions, recommendation, information retrieval and so on, attackers have strong motivation and incentives to manipulate or disrupt the ranking list. They could inject malicious c...

The regulation of artificial intelligence for health in Brazil begins with the General Personal Data Protection Law.

Revista de saude publica
Artificial intelligence develops rapidly and health is one of the areas where new technologies in this field are most promising. The use of artificial intelligence can modify the way health care and self-care are provided, besides influencing the org...