## 1 Introduction  
Many threats are faced by users of cloud computing services, including trust and reputation attacks. These threats are experienced due to the extremely dynamic, non-transparent, and distributed nature of cloud computing services [1, 2]. Cloud service providers and customers face significant challenges in preserving and handling trust in the cloud system [3]. Threats also emerge because the provision of cloud computing services is in the public domain, which means that many users have access to it [4]. There are risks from the actions of malicious users toward other cloud service consumers, who often give feedback about their experiences.  
[PERSON], [PERSON], and [PERSON] [1] asserted that the feedback of service providers was an effective means of obtaining information that helps in examining the trustworthiness of cloud service customers. [PERSON], [PERSON], and [PERSON] [5] also noted that service provider feedback plays a vital part in generating trust for a cloud-based service. Cloud computing providers and consumers use trust management systems and detection systems for reputation attacks to provide improved protection and security of online data.  
Although trust management and reputation attack detection systems are available, cloud computing systems continue to face targeted attacks from different sources [6, 7].  
Research shows that there are shortcomings in a number of detection strategies that aim to prevent on/off and collusion attacks. Hence, this study provides vital information regarding the way reputation attack detection mechanisms can be used for successful detection in cloud services. In addition, it will address the on/off and collusion attacks that decrease trust assessment in cloud computing. A major contribution is made by this study to the existing literature regarding how the security and privacy of cloud services can be improved by providers and users of such services, and can provide an enhanced experience for users on the whole.  
Another major challenge emerges from authorization concerns regarding access to cloud computing. The issue is concerning because of the significant number of users and the highly sensitive big data of cloud computing [8; 9]. In most cases, this has led to the application of access controls within cloud computing server application platforms. However, it has been found that access controls related to distributed systems are not reliable [10]. This is mainly due to the dynamic and complicated nature of consumers and the ineffectiveness of determining their identity beforehand [11]. To adequately handle these concerns, a better option for decentralized systems is to integrate control models with trust models [12]. This solution has been attained following various attempts by developers to create new trust models that have the ability to solve the most complex and sophisticated issues linked to authorization [13; 14]. Various proposals have been presented for integrated trust models with access controls that face significant threats from attacks [15; 16]. This paper aims to design a trust model system for curtailing reputation attacks on cloud services and providing high security to cloud storage systems. A major security challenge experienced by reputation systems is the on/off attacks.