Efficient detection of hacker community based on twitter data

Twitter is one of the most popular platforms used to share and post ideas. Hackers and anonymous attackers use these platforms maliciously, and their behavior can be used to predict the risk of future attacks, by gathering and classifying hackers’ tw

NSA: ChatGPT and similar tech will make hackers more effective

Here is why you should have Cobalt Strike detection in place

Looking Within Strategies for Detecting and Mitigating Insider Threats - SentinelOne

How is Anonymous attacking Russia? The top six ways ranked

BlueNoroff Group Activity Detection: Threat Actors Apply Novel Methods to Bypass Windows Mark-of-the-Web (MoTW) Protection - SOC Prime

Efficient detection of hacker community based on twitter data using complex networks and machine learning algorithm - IOS Press

The CADA-MRIT

Guide: Large Language Models (LLMs)-Generated Fraud, Malware, and Vulnerabilities

Hackers took over Twitter after 'a coordinated social engineering attack' on employees - Protocol

Exposure to the Russian Internet Research Agency foreign influence campaign on Twitter in the 2016 US election and its relationship to attitudes and voting behavior

AI-Based Cybercrime Tools WormGPT and FraudGPT Could Be The Tip of the Iceberg

Identity Threat Detection and Response – ITDR: The new approach to face identity-based attacks