The demand on cloud computing is increasing, more organizations tend to use it to store and process their data. In this article, we address some challenges starting by building a private cloud from our own company’s old devices, and then implementing some functionalities that a private cloud can offer to its users. Since cloud computing is a paradigm which is based mainly on a virtualized environment, therefore we used Proxmox Virtual Environment which is an open source free server virtualization technology for this purpose. Then we deployed software routers on the virtual routers through Quagga software to perform the routing functionality among the virtual machines. Finally, and in order to show the real use of our private cloud, an open source Nextcloud service is installed which is a free file sharing software that is used to show Software as a Service (SaaS) usage of our private cloud. We tested our implementation of private cloud computing through two case studies that showed a successful access of a user to the Nextcloud service. In the same time, we tested the routing functionality of the private cloud through the use of Quagga software router without using a physical router. As a result, our private cloud is fully oriented open source, cost effective and reliable.

Moving from a paper-based to electronic-based medical records has become recently a target for many medical institutions to increase efficiency and decrease costs. However, this makes patient's sensitive data – collected and stored in electronic medical records (EMRs) – more vulnerable and at the risk of privacy violations and breaches. For this sake, institutions try to protect the privacy of its patients' data. However, being a part of a bigger medical system may require that an institution be a part of a global query, such situation imposes new challenges for hospitals to preserve their data privacy while being able to participate in global analytical queries with other hospitals. Secure multi-party computation protocols (SMC) help in executing global analytical queries between a set of distrustful data owners who have no desire to share their confidential data, however they all need to cooperate to answer global queries about patients' medical history. The bulk of SMC protocols targets the ring topology execution environment in which query results at one node are passed to next node in the topology. In this paper, we propose a privacy preserving SMC technique to execute equality-test and range queries on EMRs. Our proposed technique uses bucketization to reduce computational cost. We replaced the conventional ring topology by start where each party can exchange messages directly over a private connection with the mediator. This too can improve management and improves the overall performance. Our experimental results show the effectiveness of our technique which provides better privacy without the need for trusted third party (TTP).

In this paper we have designed Agent based intrusion detection system (ABIDS) where agents will travel between connected client systems from server in a client-server network. The agent will collect information from client systems through data collecting agents. It will then categorize and associate data in the form of report, and send the same to server. Intrusion detection system (IDS) will support runtime addition of new ability to agents. We have illustrated the design of ABIDS and show the performance of ABIDS with various classification techniques that could produce good results. The motive of the work is to examine the best performance of ABIDS among various classification techniques for huge data. Moreover sophisticated NSL KDD dataset are used during experiments for more sensible assessment than the novel KDD 99 dataset.

Cyber attacks in cloud computing more often than not tend to exploit vulnerabilities and weaknesses found in the underlying structural components of the cloud. Such vulnerabilities and weaknesses have drawn interest from various attack profiles ranging from script kiddies to APTs. Regardless of the attack profile, cyber attackers have come to leverage the interdependencies exhibited amongst these vulnerabilities by chaining exploits together to effectuate complex interlinked attack paths. Such chaining of vulnerabilities in cloud components results in multi-stage attacks where the attacker traverses different segments of the cloud residing in different layers to reach the target. In this paper, we partition the cloud into three different layers to show how multi-stage attacks on Confidentiality, Integrity and Availability (CIA) interleave with the SaaS, PaaS and IaaS cloud computing service models. Further, we generate multi-stage attack paths based on the vulnerabilities exhibited in the components across the partitioned cloud layers. Furthermore, we model the constituents of multi-stage attack events as discrete random Bernoulli variables to characterize the attack path pursued by a given attack profile. We generate probability density curves of the associated resultant attack paths to infer on the nature of the attack and recommend a hierarchical security mitigation process based on the nature of the attack nodes.

An inter-integrated system for crude oil pipeline using Wireless Sensor Network is designed for an incessant monitoring and communication in the desert for a span of 1350 Km from pumping station to harbor stockpiling tanks with 135 distributed control system stations. The proposed wireless sensor network equipment is used to scan the sensor status installed in the pipeline and send the required information utilizing dedicated low bandwidth with Quality of Service level three secured Message Queuing Telemetry Transport. This system generates energy on its own by using the solar panel and stores it in battery banks. Low power controller with Wi-Fi developed by Texas Instruments has been utilized to design a working prototype.

The biggest challenge in modern web is to tackle tremendous growth of data, scattered and continuously updating in nature. Processing of such unscattered data by human or machine remains a tedious task. Semantic Web; as a solution has already been invented. But, still there are some other challenges, like as optimization of the query. We introduce a new approach for real–time SPARQL query optimization with different forms and different triple patterns. The strategy introduces rearrangement of order of triple pattern using Differential Evolution(DE). The experimental study focus on main-memory model of RDF data and ARQ query engine of Jena. We compare the result of proposed approach with the Ant Colony Optimization(ACO) different versions and some other approaches. Results shows that proposed approach provides better execution time as compare to the other approaches.

With the increase in use of digital technology, use of data items in the format of text, image and videos are also increases. To securely send this data, many users and smart applications have adapted the image encryption approach. But the existing concepts are based on general AES approach. There is need to securely send the data with the addition of some expert image encryption and key generation approach. In this paper, we are using Matrix Array Symmetric Key (MASK) for the key generation and Chaos based approach for the image encryption. The main function of MASK is to generate the key for the encryption and decryption. The encryption process involves the generation of key. We have considered the key of MASK-256 for the encryption having 16 rounds. Chaos based concept has been considered for the encryption of image. Here, permutation- substitution based chaos based approach has been adopted for the image encryption. Moreover, in this approach, we have adapted the concept of partial encryption of image pixels instead of complete encryption so that in case of arrack, intruder can be confused with the partial encrypted image. In this approach, different image samples having different sizes have been considered. Further, concept is evaluated based on the parameters of Information Entropy, Elapsed Time, Precision, Recall and F-Measure.