This survey paper describes a focused literature survey of machine learning (ML) and data mining (DM) methods for cyber analytics in support of intrusion detection. Short tutorial descriptions of each ...

The escalating sophistication of cyber threats poses significant risks to individuals, organizations, and nations. Cybercrime, encompassing activities like hacking and data breaches, has severe ...

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior performance compared to conventional non-machine learning approaches when ...

A massive data leak stemming from a cyber attack on a third-party subcontractor has affected Swiss banks UBS and Pictet, as well as over a dozen other multinational companies, potentially including ...

The Coinbase data breach was a particularly brazen cybersecurity incident, as the hackers demanded tens of millions of dollars in ransom in exchange for not leaking the stolen data.