Can cyber attacks be traced?

In the cyber world, the current state of the practice regarding the technical ability to track and trace Internet-based attacks is primitive at best. Sophisticated attacks can be almost impossible to trace to their true source using current practices.

How cyber attacks are detected?

Other key threat detection strategies include: Penetration testing. By thinking the way a cyber criminal would, security experts can scan their IT environments for vulnerabilities, such as unpatched software, authentication errors, and more. Automated monitoring systems.

What are the sources of cyber attacks?

Most Common Sources of Cyber Threats

• Criminal Groups.
• Hackers.
• Malicious Insiders.
• Corporate Spies.
• Nation States.
• Terrorist Groups.
• Hacktivists.

What is Cyber Security data?

Cyber security is the practice of defending computers, servers, mobile devices, electronic systems, networks, and data from malicious attacks. It’s also known as information technology security or electronic information security. A compromised application could provide access to the data its designed to protect.

Why is it difficult to prevent cyber attacks?

This fear in turn could increase the tendency toward pre-emptive action and hence escalation. Cyber adds new and significant uncertainty to warfare, making it difficult both to deter and respond. It will take time and a great deal more research and analysis before the problem is fully understood.

What are the best resources for cyber security research?

GitHub – gfek/Real-CyberSecurity-Datasets: Public datasets to help you address various cyber security problems. Public datasets to help you tackle various cyber security problems using Machine Learning or other means.

Can anyone recommend some good annotated (labeled) datasets for network security tests?

Can anyone recommend some good sources of annotated (labeled) datasets for network security tests and Machine Learning (ML)? In general, various cybersecurity areas are welcomed but from reliable and confident sources. Poor and incorrect annotations or malicious sources are not of interest, so avoid it please.

How big is the ISOT ransomware detection dataset?

The ISOT Ransomware Detection dataset consists of over 420 GB of ransomware and benign programmes execution traces. The ISOT HTTP botnet dataset comprises two traffic captures: malicious DNS data for nine different botnets and benign DNS for 19 different well-known software applications. Know more here.

What data is in the dynamic malware analysis dataset?

About: The Dynamic Malware Analysis Kernel and User-Level Calls dataset contain the data collected from Cuckoo and a kernel driver after running 1000 malicious and 1000 clean samples. The Kernel Driver folder contains subfolders that hold the API-calls from clean and malicious data.