You are presented with multiple paper abstracts, alongside the associated literature review and chapter titles. Given the provided information, you are going to do a literature review. Please generate a coherent literature review that synthesizes the content, draws connections between different works, highlights major findings, and identifies any gaps in the existing research.

Literature Review Title: Above the Clouds: A Brief Survey 
Chapter Title:  Integration with Internet of Things Security (IoT) 
1. Abstract of Cited Paper (BIB001):  The advances in cloud computing and internet of things (IoT) have provided a promising opportunity to resolve the challenges caused by the increasing transportation issues. We present a novel multilayered vehicular data cloud platform by using cloud computing and IoT technologies. Two innovative vehicular data cloud services, an intelligent parking cloud service and a vehicular data mining cloud service, for vehicle warranty analysis in the IoT environment are also presented. Two modified data mining models for the vehicular data mining cloud service, a Naive Bayes model and a Logistic Regression model, are presented in detail. Challenges and directions for future work are also provided. 
2. Abstract of Cited Paper (BIB002):  Cities are areas where Big Data is having a real impact. Town planners and administration bodies just need the right tools at their fingertips to consume all the data points that a town or city generates and then be able to turn that into actions that improve peoples' lives. In this case, Big Data is definitely a phenomenon that has a direct impact on the quality of life for those of us that choose to live in a town or city. Smart Cities of tomorrow will rely not only on sensors within the city infrastructure, but also on a large number of devices that will willingly sense and integrate their data into technological platforms used for introspection into the habits and situations of individuals and city-large communities. Predictions say that cities will generate over 4.1 terabytes per day per square kilometer of urbanized land area by 2016. Handling efficiently such amounts of data is already a challenge. In this paper we present our solutions designed to support next-generation Big Data applications. We first present CAPIM, a platform designed to automate the process of collecting and aggregating context information on a large scale. It integrates services designed to collect context data (location, user's profile and characteristics, as well as the environment). Later on, we present a concrete implementation of an Intelligent Transportation System designed on top of CAPIM. The application is designed to assist users and city officials better understand traffic problems in large cities. Finally, we present a solution to handle efficient storage of context data on a large scale. The combination of these services provides support for intelligent Smart City applications, for actively and autonomously adaptation and smart provision of services and content, using the advantages of contextual information. 
3. Abstract of Cited Paper (BIB003):  The provision of entertainment services through current network infrastructures generates a significant part of global Internet traffic. Such traffic is created by users who are interconnected through social media networks, distributing multimedia content, as well as through their online games interaction, leading to a significant increase in data traffic demands. At the same time, users demand the high-quality content delivery necessary for such multimedia-based services and applications. In this article, a novel network architecture is proposed that exploits a resource prediction engine to predict the upcoming demands on resources for the optimal distribution of streaming data among content delivery networks, emerging mobile networks, cloudbased providers, and home media gateways. Performance evaluation experiments carried out under controlled conditions verify the validity of the proposed network architecture and establish its effectiveness for efficient resources prediction during the provision of entertainment services. 
4. Abstract of Cited Paper (BIB004):  The Internet of Things makes possible to connect each everyday object to the Internet, making computing pervasive like never before. From a security and privacy perspective, this tsunami of connectivity represents a disaster, which makes each object remotely hackable. We claim that, in order to tackle this issue, we need to address a new challenge in security: education. 
5. Abstract of Cited Paper (BIB005):  Abstract Mobile Cloud Computing is a new technology which refers to an infrastructure where both data storage and data processing operate outside of the mobile device. Another recent technology is Internet of Things. Internet of Things is a new technology which is growing rapidly in the field of telecommunications. More specifically, IoT related with wireless telecommunications. The main goal of the interaction and cooperation between things and objects which sent through the wireless networks is to fulfill the objective set to them as a combined entity. In addition, there is a rapid development of both technologies, Cloud Computing and Internet of Things, regard the field of wireless communications. In this paper, we present a survey of IoT and Cloud Computing with a focus on the security issues of both technologies. Specifically, we combine the two aforementioned technologies (i.e Cloud Computing and IoT) in order to examine the common features, and in order to discover the benefits of their integration. Concluding, we present the contribution of Cloud Computing to the IoT technology. Thus, it shows how the Cloud Computing technology improves the function of the IoT. Finally, we survey the security challenges of the integration of IoT and Cloud Computing.

Literature Review:
Each and every gadget and sensor in the IoT speaks to a potential hazard. How certain can an association be that every one of these gadgets have the controls set up to protect the privacy of the information gathered and the respectability of the information sent BIB005 . Corporate frameworks will be bombarded by information from all way of associated sensors in the IoT BIB006 . The information gathered will enable us to settle on more brilliant choices. Yet, this will likewise affect security desires BIB004 . We are as of now observing consumers place higher desires on organizations and governments to defend their own data [24] . Subsequently, a few difficulties about the security issue in the integration of IoT and cloud computing are listed below: -Heterogeneity: A major challenge in integration of cloud computing and IoT is concerned with the wide heterogeneity of gadgets, working frameworks, stages and administrations accessible and perhaps utilized for new and improved applications  . -Performance: Frequently Cloud Computing and IoT mix's applications present explicit execution and quality of service prerequisites at a few dimensions (for example for correspondence, calculation, and capacity angles) and in some specific situations meeting prerequisites may not be effectively feasible  , BIB001 . -Reliability: At the point when Cloud Computing and IoT reconciliation is em-braced for mission-basic applications, unwavering quality concerns normally emerge e.g., with regards to keen versatility, vehicles are regularly progressing and the vehicular systems administration and correspondence is frequently discontinuous or temperamental BIB002 . -Big Data: With an expected number of 50 billion gadgets that will be arranged by 2020, explicit consideration must be paid to transportation, stockpiling, access, and preparing of the gigantic measure of information they will create BIB003 . -Monitoring: As to a great extent archived in the writing, checking is a basic movement in Cloud conditions for scope quantification, for overseeing assets, service level agreements, execution and security, and for investigating  .