In this paper, we present a framework of database auditing by ensuring the security and reliability of database activities through analyzing network traffic, execute audit analysis through event correlation and generate alarms if an anomaly or a violation of security regulations is detected. This area encompasses a huge range of application problems ranging from who can gain access, when access was achieved and what operation was performed. Despite these trends in technology, there is an increasing number of database hacking occurrences and sensitive data loss. Database auditing can help strengthen the security of database. It is therefore imperative to say that security is enhanced and complimented with the use of auditing. There is no security without auditing, therefore security and auditing should be implemented in an integrated fashion. 

On Future Shock (1970) Alvin Toffler said: “The illiterate of the 21st century will not be those who cannot read and write, but those who cannot learn, unlearn and relearn.”. Homo sapiens (wise man in Latin) would have appeared in Africa about 200,000 years ago. From 1760 to 1860, we had the first industrial revolution here in England, in the fabric industries. The second stage took place from 1860 to 1900 but has already involved countries such as Germany, France, Russia and Italy. Some historians have regarded the technological advances of the twentieth and twenty-first centuries as the third stage of the Industrial Revolution. The computer, the fax, the genetic engineering, the cell phone would be some of the innovations of this era. Today we are living the fourth stage of this revolution, with Automation and Artificial Intelligence. According to studies from the University of Oxford, in the next 25-30 years, the unemployment rate in the United Kingdom could reach 35%, in the USA 47%, in Brazil approximately 57% and in intensely industrialised countries like China (77%) and Ethiopia (85%), the number is higher. Stopping Automation and Artificial Intelligence is not a viable option, as it generates savings for organisations and, consequently, more wealth for countries. We cannot stop our society from evolving, but what is the real cost of Automation and Artificial Intelligence for humanity? Are we prepared for the future? We have two certainties: the first is that we don’t know what kind the jobs of the future will be, 65% of our children will work on jobs there isn’t yet. The second is that with Automation and Artificial Intelligence, we will have more time to be human again, skills like originality and social intelligence are difficult features to automate. How we can prepare us for the future? Enabled the life-long learning, a changing world of work means that learning new skills will need to be a continual part of each employee’s lives.  Which skills I need to improve? Pearson published The Future of Skills: Employment in 2030, in collaboration with Nesta and Oxford Martin. By combining a wider understanding 
of the trends that impact the future of work with expert human judgment and machine learning, a clearer understanding emerged of the skills more likely to be future-proof skills. The World Economic Forum given us the report with the 10 Skills you’ll need to survive the rise of automation. We need to change how we’re learning and how the teachers are teaching. Technology and education are the keys to help us to improve these new skills for the future and keep our society in economic life-balance.

The state of São Paulo is the most populous in Brazil, with 46 million inhabitants and generating one third of the total wealth produced in the country. Among the services provided to the population by the State Government, the issuance and renewal of documents of Identity and Driver License are the most required. Given the number of citizens who require them every day, scheduling interviews for issuing and renewing these documents is a considerable logistical challenge. The Government has a network of Citizen Service Centers where these documents are issued, and over the past few years, the need to automate and ensure prerequisite compliance at the first interview has become a major goal for the government. To address this situation, a chatbot-automated attendance system, delivered through cloud technologies, based on cognitive services has been developed, allowing citizens not only to schedule interview for document issuance but also to ensure that all required fees and certificates are met. This chatbot system showed a historic record of 505,372 interviews scheduled in a single day. The system in question allowed over 90% of assertiveness, preventing a second interview from being necessary due to lack of information or absence of required certificates. Considering that the lower income population in the

state needs to take about four bus or train reides to attend interview, the assertiveness and guarantee of having your document issued in the first interview is no longer just an indicator of government effectiveness but, an inclusion factor for all sections of population.

TThe research work which is presented here is basically an effort which is being made to analyze the significance of knowledge reuse in an academic environment. To achieve the object we will have to appreciate the role of knowledge sharing and the knowledge management as well as the best utilization of reusable tacit and explicit knowledge. Issues of knowledge quality and reusability in contemporary age have also been analyzed. For comprehend the above undertakings in greater details by applying the management of knowledge, we present discussion on the software reusability and its academic applications in an academic environment

Cloud data centers, realizing that the amount of unused resources is significant, have started offering them as transient resources with unpredictable, irreversible revocation. The use of transient resources indicates many relevant issues still pose critical challenges, including security, strong and reliable connectivity and fault-tolerance approaches. To effectively use transient cloud servers to fulfill user requests, it is necessary to define an appropriate fault-tolerant mechanism and its respective parameters to avoid data loss if an unexpected failure occurs. We present an agent-based framework, namely BRA2Cloud, for integrating bag-of-tasks enabled systems using unreliable transient resources. To guarantee application execution and better use of idle resources, it is necessary to create an execution plan through fault tolerance definitions to increase reliability. To do this, BRA2Cloud agents combine features to predict failures in a multi-agent architecture that dynamically creates fault-tolerant multi-strategies, considering the current availability scenario and providing a resilient environment according to users’ application needs. Our approach was validated using real data retrieved between 2017 and 2019 from Amazon Spot Instances. Exhaustive experiments achieved high accuracy levels, reaching a 91% survival prediction success rate, which indicates the model is effective under realistic working conditions. We consider the results promising, decreasing up to 74.48% in total execution time when compared to other approaches in the literature. As the main requirements of our proposal, we have defined a series of features that BRA2Cloud should have in order to address the impact of these definitions on resiliency provision, application execution time reduction, and monetary cost reduction.

Saving money and to increase the performance is one of the main reasons for moving workloads to the cloud. With the Click2Cloud multi cloud management platform, the cloud infrastructure can reduce total cost of ownership (TCO) as compared to on-premise infrastructure. Cloud brain helps to choose the best hybrid cloud solution that involves careful consideration of how each cloud implementation option would meet the needs of the overall organization and its specific workloads. A hybrid cloud approach offers the best path to the cloud, and a way to optimize your existing assets offers the best path to the cloud, and a way to optimize your existing assets. Using on demand resources in the cloud, you can leverage the power of the cloud and provide services that complement your existing on-premises datacentre. Cloud brain platform also provides consistency across the key areas like; identity; management, security, infra automation, and DevOps. It also simplifies complexities as user can comfortably choose instance sizes, operating systems, database, application framework among other applications as per their business needs and usage.

A project just terminated and reported back to the FDA in the US. In IBM, Watson Health aims to build a smarter health in several areas, government health and human services, payer and providers, enterprise imaging,  ¬oncology. Here we illustrate a specific solution in the area of Life Science where our blockchain expertise has been fused with expertise in the sector. IBM utilizes an open source technology with Linux, called Hyperledger Fabric. On top of it we are building several solutions and use cases. This pilot with other major companies creates a blockchain solution to respond to the FDA request of traceability of drugs and/or medical devices. Blockchain was specifically geared to create a system that would test a rapid alert system among business partners alongside  supply chain in case of medication recall. The results of the pilot can be summarized in 4 main points, Provenance and data privacy are guaranted, so only specific partners are notified in case of provenance enquiries,. Reports of recalls is generated and competent autorithies are notified properly. Patient safety is guaranteed by elimintating only the specific lot impacted by the reason of the recall and therefore no hijacking of falsified products or sumministration of bad drugs would be done. This process, which would usually takes 3 days, took only 10 seconds.. In Europe a similar regulation will be released middle 2021. Unique Device Identification (UDI) System under the EU Medical Device Regulations 2017/745 and 2017/746 will facilitathe to an easy traceability to enhance post market analysis and overall better monitoring by audit agencies and competent authorities. This will

prevent falsified and malfunctioning and reduce medical wast, guaranteeing higher standards of safety and we can take advantage of the experience already made in USA.

We ‘ll cover here the effect of AI in some application for  Life Science industry. We are in the 4th industrial revolution: new technologies like AI, IOT, data and cloud are fundamentally altering the way we live, work and relate to each other. Specifically in healthcare now, with a better ability to integrate and harness the data from wearables, electronic health records, patient reported outcomes, genomics data, we can drive better actionable insights, with more efficient processes, faster decision making, smarter business,  ending ultimately bringing new and more personalized medicines to patients sooner. The Life Science industry is still facing the challenges of the past.  Clinical Trials, 80% of trials in the US fail to meet recruitment deadlines and more than 80% experience delays. It takes a lot of time and cost a lot to deliver a drug to the market, which inevitably affects the number of treatments we do get to the market. In addition Siloed and unstructured data collection across disparate systems makes it difficult and time consuming. It’s not about collecting or finding data anymore, its actually what do we do with the data. With AI we’ can analyze the data to derive actionable insights. The AI can process enormous amounts of structured and unstructured data, can understand natural language, including clinical text, to surface insights, reach conclusions and anticipate problems with human – level expertise. Industry real cases( i.e. project with Majo Clinic in Minnesota for edical coding improvement) show how training  Watson and infuse it’s capability we have a significant improvement in rpecison and reduction of costs and time. With case we will arrive to show that. The pace of change will vary across industries but if we adopt these emerging, advanced technologies in the Life Science space we have a chance to bridge to the needs of yesterday and tomorrow and drive value and scalability to our patients and organizations.

A Enterprises are increasingly adopting a hybrid cloud approach that includes one or more cloud providers along with on-premises infrastructure. A hybrid cloud approach offers the best path to the cloud, and a way to optimize your existing assets. Click2Cloud Multi cloud management platform makes cloud adoption fast and easy, allowing you to optimize the value of existing on-premises infrastructure, while confidently leveraging the same tools, technologies and skills in the cloud. Choosing the right hybrid cloud solution is an important step in your digital transformation. The hybrid platform is a strategic choice for forward-leaning organizations that are looking for a long-term, powerful solution to innovation, flexibility, and control across their on-premises and cloud environments. Ready to start your cloud journey? Easily migrate your workloads to the AWS, Alibaba, Huawei, GCP, Telefonica Cloud with two months free. Gain rapid scalability, deployment in 60+ global data centers and access to industry-leading disaster recovery, backup, security and compliance solutions from an array of ecosystem partners. Cloud adoption continues to accelerate, as the cloud is increasingly seen as the key to business technology transformation. ***GO FURTHER, FASTER WITH HYBRID CLOUD*

A Today availability of data for machine learning model training is challenging due to data sovereignty restrictions. There are added issues like scaling, cost, latency, etc. when transferring data from the filed or remote regions to core cloud regions for processing and training purposes. This paper focuses on the role of GPU shapes at the edge of the cloud for federated machine learning (ML) training. Federated ML training is recommended to address customer requirement around data sovereignty and other restrictions surrounding streaming or real time data transfer back to a central cloud region. Customers like to use centralized cloud regions to address impacts due to increased latency and associated link costs and lack of data diversity. This paper proposes a solution to implement federated machine learning at the Cloud’s edge point of presences using GPU based computing nodes. In addition depending on industry segments or regional requirements, the inference can also place at the edge. The training data or the inference data are aggregated at the core regions. We will discuss some new developments targeted at this space.

AMinimizing the energy consumption of servers within cloud computing systems is of utmost importance to cloud providers towards reducing operational costs and enhancing service sustainability by consolidating services onto fewer active servers. Moreover, providers must also provision high levels of availability and reliability, hence cloud services are frequently replicated across servers that subsequently increases server energy consumption and resource overhead. These two objectives can present a potential conflict within cloud resource management decision making that must balance between service consolidation and replication to minimize energy consumption whilst maximizing server availability and reliability, respectively. In this keynote talk, I shall discuss a energy-reliability aware resource scheduling approach for holistic management of cloud computing resources including servers, networks, storage, and cooling systems. This technique clusters and executes heterogeneous workloads on provisioned cloud resources and enhances the energy-efficiency and reduces the carbon footprint in datacenters without adversely affecting cloud service reliability.

Privacy is a major concern for governments, corporate organizations and individuals and emergence of digitized methods for the storage of information has pushed mankind into the 21st Century and also has brought about the need for data privacy and confidentiality. Cyber crime began to take off in early 2000’s when social media came to life and usage of internet resources allows for a user to disclose information in certain contexts, while the information remains protected and it’s uses remains limited by an obligation to maintain confidentiality. Researchers and other controllers and processors of personal data have to protect the personal information from unauthorized access as the date of birth collected as part of personal information can pose a great risk to the privacy rights of a user and increase the rate of Identity theft. This research is based on collection of personal information from 300 users (age 22-60), using numerological approach. The information collected from every user was analyzed by reducing the date of birth of each user to a numerical value which in turn gives a life path number and the life path number revealed who the user is, their deepest values and some of their life challenges. From the analysis of the data, 258 users confirmed that the result was very accurate,23 users said it’s somewhat accurate, 12 users are not sure(50/50), 3 user said its inaccurate and there are 4 void result. The results of the analysis carried out on the user data provides proof that the provision of a users birth information posses a great threat to the privacy and safety of a user and also instrumental in cyber crime and social engineering process.

User authentication for the Internet of Things (IoT) is a vital measure as it consists of numerous unattended connected devices and sensors. For security, only the user authenticated by the gateway node can access the real-time data gathered by sensor nodes. We present an efficient privacy-preserving authentication and key agreement scheme for IoT, which enables the user, the gateway node and sensor nodes to authenticate with each other. Only the trusted gateway node can determine the real identity of the user; however, no other entities can get information about user’ identity by just intercepting all exchanged Cyber threats are a global risk that governments, the private sector, non-governmental organizations – and the global community as a whole – must deal with. Chatham House focuses on building cyber capacity and expertise among policymakers, investigating key issues through publishing in-depth policy research, conducting cyber simulation exercises, and convening high-level meetings with a wide group of stakeholders. messages during authentication phase. The gateway cannot prove the received messages from the sender to a third party, and thus preserving the privacy of the sender. The correctness of the proposed scheme is proved to be feasible by using BAN logic, and its security is proved under the random oracle model. The execution time of the proposed scheme is evaluated and compared with existing similar schemes, and the results demonstrate that our proposed scheme is more efficient and applicable for IoT applications. The economic and social benefits of digital technology have transformed the world as we know it, but have introduced high risks through its malicious use by both state and non-state actors. These risks affecting economies, societies and livelihoods, and are threatening international peace and security.

Security is freedom from, or resilience against, potential harm caused by others Enterprises need to protect their assets, but they also need to be profitable to stay in business. Protecting information assets has become a priority for enterprises that need to meet compliance requirements or need to protect sensitive data. The challenge for these enterprises is implementing robust security practices while keeping investment and operational costs contained. Security as service offers a way for enterprises to access security services that are robust, scalable and cost effective. When An enterprise chooses SECaaS, they are essentially choosing to relinquish control over their security to a third-party specialist. As a result, the enterprise’s overall security posture improves because security systems are maintained and administered by security specialists. SECaaS is typically delivered on the basis of a subscription, which for many companies means replacing the one-time licensing costs of security software with a reoccurring subscription. With reward comes risk, and enterprises should consider benefits and risk when evaluating Security as service products and providers. And also, enterprises need to understand that they can outsource responsibility but they cannot outsource accountability; therefore, enterprises should implement an assurance plan that includes assessing the services obtained from SecaaS providers. Security as a service enables enterprises that do not have the security expertise in-house, or the ability to recruit the required expertise, to license a professionally managed service.

TCybersecurity is the practice of protecting systems, networks, and programs from digital attacks. These cyberattacks are usually aimed at accessing, changing, or destroying sensitive information; extorting money from users; or interrupting normal business processes. Implementing effective cybersecurity measures is particularly challenging today because there are more devices than people, and attackers are becoming more innovative. Security can only be accurately assessed, if ways of managing ‘non-knowledge’ are taken into account. Anyone attempting to measure an organisation’s security posture finds that metrics are difficult to collect and don’t show the full picture. We also tend to protect against what we know and what we think we know. Knowledge does not come in volumes offering certainty to security decisions. Instead it is an incremental process in which the data reflects but never quite captures the changing security landscape. A steady conversion of unknowns to knowns! Anticipating Blind-Spots! Organisations face complex and uncertain situations every day, but the most challenging circumstances are often completely unexpected, because we never even knew to look for them. Organisations should make efforts to anticipate blind spots. We can never completely eliminate our blind spots, but they can be reduced to improve performance and prevent the mistakes that in hindsight should have been obvious

We are satisfied to invite you to the "International Conference on Cloud Computing and Virtualization". after the fruitful culmination of the arrangement of Artificial Intelligence Congress. The congress is planned to occur in the excellent city of London, UK, on May 21-22, 2020.
This Cloud Computing 2020 gathering will give you an excellent research understanding and tremendous thoughts. This conference will also present the advanced research, advanced techniques for Cloud Computing and its related fields.
Cloud Computing 2020 will concentrate on the subject Innovations and headways in Artificial Intelligence. We are certain that you will appreciate the Scientific Program of this up and coming Conference. The point of view of the Cloud Computing Conference is to set up cutting edge research to assist individuals with seeing how procedures have progressed and how the field has created as of late.
Cloud Computing and Virtualization is an area of programming building that underscores the creation of canny machines that work and react like individuals. Man-made brainpower is master in examining how human cerebrum thinks, learn, choose, and work while attempting to take care of an issue, and afterward utilizing the results of this investigation as in the reality, the information has some unfortunate properties. In the advanced world, Cloud Computing and Virtualization can be utilized from multiple points of view to control robots, Sensors, actuators and so forth. A robotization framework is a framework that controls and shows building association. These frameworks can be set up in a couple of commonplace ways. In this portion, a general development outline work for a structure with complex prerequisites because of the activity, for example, a counselling room will be depicted.
Conference will encourage Young Researcher’s Forum, scientists and the researchers in their early stage of career graph to widely discuss their outcome so as to enrich and develop the idea. The ‘Best Poster Award’ is meant to encourage students in taking active part in the International Science platform to sharpen their skills and knowledgebase.
According to this research report, the global market Cloud Computing is projected to show a robust growth of 6.5 per cent in the CAGR during 2019-2024.
Coud Computing is the practice of sharing a network of remote servers which are hosted on the Internet to store, process, and manage data rather than on a local server or a personal computer. It specifically refers to a common storage space through which all the devices in the network can access data simultaneously. The use of Cloud computing technology not only gives cost benefits but also makes applications accessible to all devices in the network at any time and from any location. The global storage market has recorded revenues of $9.12 billion in 2012 with the growth rate of 16.7% as compared to the revenues in 2011. The major driver for the growth of the global cloud computing services market is its cost-effective services.
Cloud Computing Technology Market Analysis by Services
Gartner predicts the worldwide public cloud service market will grow from $182.4B in 2018 to $331.2B in 2022, attaining a compound annual growth rate (CAGR) of 12.6%.Spending on Infrastructure-as-a-Service (IaaS) is predicted to increase from $30.5B in 2018 to $38.9B in 2019, growing 27.5% in a year.Platform-as-a-Service (PaaS) spending is predicted to grow from $15.6B in 2018 to $19B in 2019, growing 21.8% in a year.
Business Intelligence, Supply Chain Management, Project and Portfolio Management and Enterprise Resource Planning (ERP) will see the fastest growth in end-user spending on SaaS applications through 2022.