Abstract:

Outsourcing data to a third-party administrative control, as is done in cloud computing, gives rise to security concerns. The data compromise may occur due to attacks by other users and nodes within the cloud. Therefore, high security measures are required to protect data within the cloud. However, the employed security strategy must also take into account the optimization of the data retrieval time. In this paper, we propose Division and Replication of Data in the Cloud for Optimal Performance and Security (DROPS) that collectively approaches the security and performance issues. In the DROPS methodology, we divide a file into fragments, and replicate the fragmented data over the cloud nodes. Each of the nodes stores only a single fragment of a particular data file that ensures that even in case of a successful attack, no meaningful information is revealed to the attacker. Moreover, the nodes storing the fragments, are separated with certain distance by means of graph T-coloring to prohibit an attacker of guessing the locations of the fragments. Furthermore, the DROPS methodology does not rely on the traditional cryptographic techniques for the data security; thereby relieving the system of computationally expensive methodologies.

Keywords:

Centrality, cloud security, fragmentation, replication, performance

Abstract:

Today most of the sensitive data are stored in a third party systems may cause severe security problem. Security as a service in a cloud model integrates their security services into a corporate infrastructure. The proposed Work focused on the security platform to store and retrieve files on the cloud with onetime password protection. To enhance the security level of One Time Password by Encrypting it and logging the user by forwarding the encrypted OTP with Password to the system. It increases the security level of the system. The web server generates the Encrypted OTP using Blowfish algorithm sends it to the users mobile. OTP is an encrypted format, so users can’t read it. In this approach user’s information are verified in many levels. It avoids the unauthorized logging.

Keywords:

Security, OTP, Encryption, Blowfish algorithm.

Abstract:

IP trace back plays an important role in internet cyber investigation processes, where the sources and paths of packets need to be identified the traversed path. It has a wide range of applications, including forensics network, auditing security, network fault diagnosis, and performance testing. Despite a plethora of research on IP trace back, the Internet is yet to see a large-scale practical deployment of trace back. While this makes the trace back service more available, regulating access to trace back service in a cloud- based architecture becomes an important issue. Consequently, we address the access control problem in cloud-based trace back. Our design objective is to check illegitimate users from requesting trace back information for malicious intentions such as ISPs topology discovery. To this end, we propose a temporal token- based authentication framework, called FACT, for authenticating trace back service queries. FACT embeds temporal access tokens in traffic flows, and then delivers them to end-hosts in an efficient manner. The proposed solution ensures that the entity requesting for trace back service is an actual recipient of the packets to be traced.

Keywords:

IP trace back, marking based trace back, opportunistic piggyback marking, network forensics, Internet Service Provider (ISP), intrusion detection system

Abstract:

Research focus on reducing the computational complexity, delay-tolerant using with partially observable Markov decision process in vehicular networks. The Vehicular Ad-Hoc Network, or VANET, is a technology that uses moves, cars as nodes in a network to create a mobile network with an aim of providing efficient and safe transportation. Connected vehicles and RSUs with embedded computing, storage, and positioning devices cooperate with each other and form a connected vehicle network. Current research on connected vehicle networks focuses on delivering the data generated from or, required by the vehicle networks themselves, of which the data traffic is light; thus, the vehicle-network resource utilization efficiency is low. On the other hand, a large amount of delay-tolerant traffic in other data networks consumes significant communication resources. Introduce a new architecture to utilize efficiently the potential resource for connecting vehicles and to mitigate the congestion problem in other data networks. An optimal distributed data hopping mechanism is also proposed to enable delay-tolerant data routing over connected vehicle networks. Research formulates the next-hop decision optimization problem as a partially observable Markov decision process (POMDP) and propose a heuristic algorithm to reduce computational complexity.

Keywords:

Connected vehicle network, delay-tolerant data, partially observable Markov decision process (POMDP), traffic offloading.

Abstract:

The M-MIMO communicating method to improve the privacy performance under very sensible and unpleasant conditions, i.e., no convenience of immediate eavesdropper channel state information (CSI) and only imperfect immediate legitimate CSI. We first provide a presentation analysis of secrecy outage capacity, which reveals the minimum required number of relay antennas for accomplishing a positive secrecy outage capacity. Then, we commend an optimization construction to jointly optimize source transmit power, relay transmit power, and transmission time in each hop, with the goal of exploiting the secrecy outage capacity. Although the silence outage capacity is not a concave function with respect to the optimization variables, we show that it can be maximized by first exploiting over some of the variables, and then maximizing over the rest. To this end, we main get a closed-form answer of best credible relay communicate power, subsequently get that of optimal source transmit power, and then derive the optimal ratio of the first-hop duration to a total broadcast occasion. Moreover, quite a few imperative scheme design insights are provide through asymptotic performance analysis. Finally, imitation results validate the efficiency of the planned joint resource allocation scheme.

Keywords:

Physical Layer Security, Massive MIMO, DF Relaying Protocol, Resource Allocation.

Abstract:

Big data and the social media is the emerging technology now days. The social media has become main communication way to connect with our family, friend and colleagues. People are sharing all information in many forms such as text, audio as well as video on the social networking site to shares their feeling. But it requires a more thorough discussion beyond the very common 3V (velocity, volume, and variety) approach. We established an expert group to re-discuss the notion of Big Data, identify new characteristics, and re-think what actually really is new in the idea of Big Data by analyzing over 100 literature resources. We identified typical baseline scenarios (traffic, business processes, retail, health, and social media) as starting point, from which we explored the notion of Big Data from a different viewpoint. We introduce a fully new way of thinking about Big Data, and coin it as the trend of ‘Cognitive Big Data’. The publications introduce a basic framework for our research results. However, this work remains workin-progress, and we will continue with a refinement of the Cognitive Big Data Framework in one future publication.

Keywords:

Big Data, Scenarios, Data Research, Cognitive Big Data, Theory, Big Social Data, Social Big Data, Social computing, Classification Big Social Data analysis