We studied the decision making process and outcomes of 17 experienced network defense professionals who worked through a set of realistic network defense scenarios. Future defense systems, which will rely on software-defined networks and may employ “moving target” defenses, will increasingly automate lower level detection and analysis, but will still require humans in the loop for higher level judgment. This framework will allow security administrators to automatically assess the impact of various threats, attacks and their defense in an automated manner.Ĭyber defense requires decision making under uncertainty, yet this critical area has not been a focus of research in judgment and decision-making. The results show how the different phases of the framework interact to model the attackers' operations. (3) We conduct experiments in a real enterprise network and Amazon Web Services. (2) We propose security metrics-based attack planning strategies along with their algorithms. (1) We propose the requirements and the key phases for the automation framework. ![]() Our novel proposed framework, design and implementation is based on scalable graphical security model called Hierarchical Attack Representation Model (HARM). In this paper, we propose a novel automation framework for cyber-attacks generation and defense enforcement named `HARMer'. Penetration testing is also known to be effective to find existing and new vulnerabilities, however, the quality of security assessment can be depending on the quality of the red team members and their time and devotion to the penetration testing. ![]() One of the well-known techniques for this is performing penetration testing which is carried by a group of security professionals (i.e, red team). With the increasing growth of cyber-attack incidences, it is important to develop innovative and effective techniques to assess and defend networked systems against cyber attacks. This framework will allow security administrators to automatically assess the impact of various threats and attacks in an automated manner. The results show how the different phases of the framework interact to model the attackers’ operations. Our novel proposed framework, design, and implementation is based on a scalable graphical security model called Hierarchical Attack Representation Model (HARM). ![]() In this paper, we propose a novel automation framework for cyber-attacks generation named ‘HARMer’ to address the challenges with respect to manual attack execution by the red team. That is why we provide unlimited support in your workflow - giving you a structure that you can still customize to suit you.With the increasing growth of cyber-attack incidences, it is important to develop innovative and effective techniques to assess and defend networked systems against cyber attacks. We believe in the power of having a strong framework that allows you to focus on accomplishing tasks. With Zenkit, we’ve developed an online project management solution that supports teams as their projects grow and evolve. But what if you require a more powerful platform to help you collaborate and manage your ideas and projects? It is a single document that can contain more documents inside it, allowing users to store and keep track of all their information in one place.
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