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Big data analytics for data-driven industry: a review of data sources, tools, challenges, solutions, and research directions
The study of big data analytics (BDA) methods for the data-driven industries is gaining
research attention and implementation in today's industrial activities, business intelligence …
research attention and implementation in today's industrial activities, business intelligence …
Unsupervised learning approach for network intrusion detection system using autoencoders
Network intrusion detection systems are useful tools that support system administrators in
detecting various types of intrusions and play an important role in monitoring and analyzing …
detecting various types of intrusions and play an important role in monitoring and analyzing …
Politics of prediction: Security and the time/space of governmentality in the age of big data
From 'connecting the dots' and finding 'the needle in the haystack'to predictive policing and
data mining for counterinsurgency, security professionals have increasingly adopted the …
data mining for counterinsurgency, security professionals have increasingly adopted the …
Governing others: Anomaly and the algorithmic subject of security
As digital technologies and algorithmic rationalities have increasingly reconfigured security
practices, critical scholars have drawn attention to their performative effects on the …
practices, critical scholars have drawn attention to their performative effects on the …
A novel adaptive network intrusion detection system for internet of things
P Aravamudhan - Plos one, 2023 - journals.plos.org
Cyber-attack is one of the most challenging aspects of information technology. After the
emergence of the Internet of Things, which is a vast network of sensors, technology started …
emergence of the Internet of Things, which is a vast network of sensors, technology started …
The field of Strategic Communications Professionals: a new research agenda for International Security
Communication has long been accepted as integral to the conduct of international affairs.
The role that discourses, ideas, norms, and narratives play at the systemic level of world …
The role that discourses, ideas, norms, and narratives play at the systemic level of world …
Predictive policing: utopia or dystopia? On attitudes towards the use of big data algorithms for law enforcement
The use of predictive AI tools to improve decision-making in relation to crime prevention and
investigation is a reality. They are being implemented almost before we fully understand …
investigation is a reality. They are being implemented almost before we fully understand …
Deep learning at the edge
The ever-increasing number of Internet of Things (IoT) devices has created a new computing
paradigm, called edge computing, where most of the computations are performed at the …
paradigm, called edge computing, where most of the computations are performed at the …
Intrusion detection system using soft labeling and stacking ensemble
The using machine learning methods is one of the most important methods for creating and
designing intrusion detection systems. Learning models can be taught according to the type …
designing intrusion detection systems. Learning models can be taught according to the type …
HLMD: a signature-based approach to hardware-level behavioral malware detection and classification
Malicious programs, or malware, often use code obfuscation techniques to make static
analysis difficult. To deal with this problem, various behavioral detection techniques have …
analysis difficult. To deal with this problem, various behavioral detection techniques have …