Insights from Nature for Cybersecurity

Abstract

The alarming rise in the quantity of malware in the past few years poses a serious challenge to the security community and requires urgent response. However, current countermeasures seem no longer to be effective. Thus, it is our belief that it is now time for researchers and security experts to turn to nature in the search for novel inspiration for defense systems. Nature has provided species with a whole range of offensive and defensive techniques, which have been developing and improving over the course of billions of years of evolution. Extremely diverse living conditions have promoted a large variation in the devised biosecurity solutions. In this article we introduce a novel Protection framework in which common denominators of the encountered offensive and defensive means are proposed and presented. The bio-inspired solutions are discussed in the context of cybersecurity, where some principles have already been adopted. The deployment of the whole nature-based framework should aid in the design and improvement of modern cyberdefense systems.

Robotics: Techniques, Functions, Social Role Part 1. Technical Foundations of Intelligence and Security of Robots

“…Oczywiście standaryzacja jest wskazana, ale należy zwrócić uwagę, że badacze zajmujący się cyberbezpieczeństwem nadal poszukują rozwiązań niekonwencjonalnych. W szczególności szukają inspiracji w naturze [99,124]. Zwracają uwagę, że konwencjonalny atak, składający się z: 1) instalacji wrogiego oprogramowania (ang.…”

A Systems Thinking for Cybersecurity Modeling

“…Cyberspace can be considered as the ultimate complex adaptive system of interconnected heterogeneous components [10] [11], such as multiple types of networks, devices and stakeholders, intertwined with human behavioral and technical factors, as shown in schematic figure Fig. 1.…”

“…Unpredictability. As interactions exist among components and joint effects of the multiple types of factors, the cybersecurity as a whole exhibits an unpredictability and complexity [11]. First, the behavior, action and strategy of participants in cyberspace, either adversaries or users, are irrational, unpredictable and nonuniform [14].…”

“…As mentioned in Section II, it is too difficult to predict the effects of the solution from the analytic inference and its implementation because the real-world cybersecurity is complex and subtle. Therefore, an entire cybersecurity model needs the feedback from cyberspace (Step ( 8)) [23], adds the validation to the analytic inference method (Step (9)) and finally provides the improvement to both the mathematical and empirical modeling (Step (10) and (11)). The cybersecurity model and its analytic inference can help guide the practice in cyberspace, in turn, the feedback from the cybersecurity practice can verify the validity of the analysis and improve the current models.…”

An Ensemble-Based Scalable Approach for Intrusion Detection Using Big Data Framework

“…Researchers used big data to solve multidisciplinary problems more effectively. [5][6][7] In this work, big data is used to address the intrusion classification problem. The distributed processing avoids bottleneck situations during execution as per the literature.…”