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As-ids: Anomaly and signature based ids for the internet of things
Abstract The Internet of Things (IoT) is a massively extensive environment that can manage
many diverse applications. Security is critical due to potential malicious threats and the …
many diverse applications. Security is critical due to potential malicious threats and the …
[retracted] analysis of intrusion detection approaches for network traffic anomalies with comparative analysis on botnets (2008–2020)
Botnets are conglomerations of traded PCs (bots) that are remotely controlled by its
originator (botmaster) under a command‐and‐control (C&C) foundation. Botnets are the …
originator (botmaster) under a command‐and‐control (C&C) foundation. Botnets are the …
Machine learning techniques for anomaly detection in smart healthcare
Anomaly detection is a vital research problem among the different domains intrusion
detection, fraud detection, device health monitoring, fault data detection, event detection in …
detection, fraud detection, device health monitoring, fault data detection, event detection in …
[HTML][HTML] Numerical feature selection and hyperbolic tangent feature scaling in machine learning-based detection of anomalies in the computer network behavior
Anomaly-based intrusion detection systems identify the computer network behavior which
deviates from the statistical model of typical network behavior. Binary classifiers based on …
deviates from the statistical model of typical network behavior. Binary classifiers based on …
Performance Analysis of Anomaly-Based Network Intrusion Detection Using Feature Selection and Machine Learning Techniques
Data and information, being a critical part of the Internet, are vital to network security.
Intrusion Detection System (IDS) is required to preserve confidentiality, data integrity, and …
Intrusion Detection System (IDS) is required to preserve confidentiality, data integrity, and …
Analysis of deep learning-based approaches for spam bots and cyberbullying detection in online social networks
Networking is the swap** of data or views among people or professionals through various
social networking platforms. Online social networks (OSNs) play a major role in everyone's …
social networking platforms. Online social networks (OSNs) play a major role in everyone's …
[PDF][PDF] FIFO & LIFO in green supply chain inventory model of hazardous substance components industry with storage using simulated annealing
FIFO & LIFO, which stands for first in first out & last-in-first-out, is a method of inventory
valuation that assumes that the last items placed in inventory were sold for the first time …
valuation that assumes that the last items placed in inventory were sold for the first time …
[PDF][PDF] LIFO in green supply chain inventory model of auto-components industry with warehouses using differential evolution
LIFO, which stands for last-in-first-out, is a method of inventory valuation that assumes that
the last items placed in inventory were sold for the first time during the accounting year. This …
the last items placed in inventory were sold for the first time during the accounting year. This …
Data mining technique based critical disease prediction in medical field
In the present days' deaths because of some critical disease has become a significant issue
in the medical field. Data mining is one of the significant territories of research that is famous …
in the medical field. Data mining is one of the significant territories of research that is famous …
Machine learning-based network intrusion detection system
As the network is dramatically extended, security has become a significant issue. Various
attacks like DoS, R2L, U2R are significantly increasing to affect these networks. Thus …
attacks like DoS, R2L, U2R are significantly increasing to affect these networks. Thus …