Abstract Cloud Computing has been adopted by many leading organizations for storage, processing, sharing and to provide other services. It faces several security challenges from its surroundings in terms of regular and sophisticated attacks. These challenges become worse when the Internet of Things (IoT) devices are connected to it. This is because of their low-security characteristics. These threats are generally handled using techniques such as Intrusion Detection System (IDS), Honeypots, Firewall, etc. To identify the best defense strategy in these techniques, further research is needed. Hence in this paper, a game-theoretic model GTM-CSec has been proposed. The proposed model intelligently selects the most suitable module out of the signature, anomaly, and honeypot based detection to detect the attack. The selection of a particular detection module instead of using all in parallel not only leads to the reduction of energy consumption but also increases the overall efficiency of the defender system. The strategies for both the defender and attacker have been evaluated and the best one has been delineated with Nash Equilibrium (NE). The simulation results prove that with the introduction of the proposed model, the defender system is very effective against the attacker.

中文翻译：

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GTM-CSec：基于IDS和蜜罐的云安全博弈模型

摘要 云计算已被许多领先组织用于存储、处理、共享和提供其他服务。在常规和复杂的攻击方面，它面临着来自周围环境的若干安全挑战。当物联网 (IoT) 设备连接到它时，这些挑战会变得更糟。这是因为它们的低安全特性。这些威胁通常使用入侵检测系统 (IDS)、蜜罐、防火墙等技术来处理。为了确定这些技术中的最佳防御策略，需要进一步研究。因此，在本文中，提出了一个博弈论模型 GTM-CSec。所提出的模型智能地从签名、异常和基于蜜罐的检测中选择最合适的模块来检测攻击。选择特定的检测模块而不是全部并行使用，不仅可以降低能耗，还可以提高防御系统的整体效率。防御者和攻击者的策略都已经过评估，最好的策略已经用纳什均衡 (NE) 描绘出来。仿真结果证明，通过引入所提出的模型，防御系统对攻击者非常有效。