Adsorption of Ciprofloxacin from Water: A Comprehensive Review

IEEE Standard for local and metropolitan area networks : supplement to Integrated Services (IS) LAN Interface at the Medium Access Control (MAC) and Physical (PHY) layers : Managed Object Conformance (MOCS) Proforma

Removal of ibuprofen from aqueous media by adsorption: A comprehensive review.

/pdf/ad-hoc-networks-technologies-and-protocols-mahkhtf0hu.pdf

Ad Hoc Networks: Technologies and Protocols

As novel technologies continue to reshape the digital era, cyberattacks are also increasingly becoming more commonplace and sophisticated. Distributed denial of service (DDoS) attacks are, perhaps, the most prevalent and exponentially-growing attack, targeting the varied and emerging computational network infrastructures across the globe. This necessitates the design of an efficient and early detection of large-scale sophisticated DDoS attacks. Software defined networks (SDN) point to a promising solution, as a network paradigm which decouples the centralized control intelligence from the forwarding logic. In this work, a deep convolutional neural network (CNN) ensemble framework for efficient DDoS attack detection in SDNs is proposed. The proposed framework is evaluated on a current state-of-the-art Flow-based dataset under established benchmarks. Improved accuracy is demonstrated against existing related detection approaches.

/pdf/a-deep-cnn-ensemble-framework-for-efficient-ddos-attack-8gf5mcrpw4.pdf

A Deep CNN Ensemble Framework for Efficient DDoS Attack Detection in Software Defined Networks

The quantity of data transmitted in the network intensified rapidly with the increased dependency on social media applications, sensors for data acquisitions and smartphones utilizations. Typically, such data is unstructured and originates from multiple sources in different format. Consequently, the abstraction of data for rendering is difficult, that lead to the development of a computing system that is able to store data in unstructured format and support distributed parallel computing. To data, there exist approaches to handle big data using NoSQL. This paper provides a review and the comparison between NoSQL and Relational Database Management System (RDBMS). By reviewing each approach, the mechanics of NoSQL systems can be clearly distinguished from the RDBMS. Basically, such systems rely on multiple factors, that include the query language, architecture, data model and consumer API. This paper also defines the application that matches the system and subsequently able to accurately correlates to a specific NoSQL system.

Big Data: The NoSQL and RDBMS review

In distributed environment, a digital transaction or operation requires transparency and trust among multiple stakeholders. Several approches address such issues however, among these blockchain provides a viable solution which has received wide acceptance in the recent past. Permissioned blockchain solutions adopt more efficient consensus algorithms and smart contracts. There are many smart-contract solutions exists (such as, etherium, IBM blockchain, hyperledger fabric), however, much of them mainly follow traditional access control models. A role-based access control model provides controlled access of resources to members. This research work presents an extended usage control model known as DistU (Distributed Usage Control). DistU is proposed to capture all possible access control models required by a business for permissioned blockchain frameworks. DistU can monitor a resource continuously during the operation and update the attributes accordingly, performing different actions, such as denying or revoking permissions. We believe that the proposed DistU usage control model can provide a fine-grained control for blockchain resource management. The paper also contributes to provide a protoype implementation of fine-grained permission model on Hyperledger Fabric. The reason of selecting Fabric for this research is that, it is the first execute-order achitecture blockchain that provides a platform to develop general business applciations. Secondly, it is an opensource operating system of permissioned blockchain with huge industry support.

An extended access control model for permissioned blockchain frameworks

Initially, blockchain is only used as a foundation of cryptocurrency, but today, we can see the rise of this new emerging technology are being implemented in many industries. In the future, most technologies around the world are expected to use blockchain as an efficient way to make online transactions. One of the areas that blockchain technologies can be applied is crowdfunding platforms. The most common problem with current crowdfunding scene in around the world including is that the campaigns are not regulated and some of the crowd-funding campaign turned out to be fraud. Besides, the completion of some projects also was significantly delayed. This project aims to solve these problems by applying Ethereum smart contracts to the crowdfunding site to that the contracts will be fully automatically executed, thus preventing frauds and ensuring that the projects can be delivered within duration given.

/pdf/blockchain-based-crowdfunding-systems-dyfz04nwzl.pdf

Blockchain based crowdfunding systems

Distributed ledger technology is an immutable data storage and transparent system, which is a constituent component that empowers the Food supply Chain Management (FSCM). Due to the immutable data feature, the scalability of blockchain technology is quite a challenge. In essence, blockchain data may grow rapidly as compared to the existing approach, and such circumstances is an issue that need to be addressed. Also, high volumes of data process for each transaction verification couple with long period of time for computation, lead to high overhead and resource consumption. This study discusses improved methods to reduce the amount of data generated by system. The proposed method employs the header verification system for transaction to reduce data growth and data processing time. During transaction, this method will verify only the header file information with using Merkle tree. This system is able to store each transaction of a node and form blockchain. Subsequently, each node is capable to verify valid transactions only by use of header data without maintaining full data of blockchain. The expected outcome of the scheme is the significant decrease of data growth in blockchain.

Enhanced Blockchain Transaction: A Case of Food Supply Chain Management

A mobility model represents nodes distribution and movement over the network. Several research works have shown that a selection of mobility model can affect the outcome of routing performance simulation in Mobile Ad Hoc Networks. Thus, a routing protocol may only be effective in a particular mobility model or scenario but performs inferiorly in another. As a result, analyses of routing protocol performance are often based on inadequate information leading to inaccurate argument and conclusion. In this paper, three different mobility models have been selected, where each of them is highly distinctive in terms of nodes movement behavior. In addition, a new measurement technique called probability of route connectivity is introduced. The technique is used to quantify the success rate of route established by a routing protocol. Extensive simulation runs are done and results are compared between each mobility model.

/pdf/the-impact-of-mobility-models-on-the-performance-of-mobile-43duppi9eu.pdf

Megat F. Zuhairi

Papers

Big Data: The NoSQL and RDBMS review

An extended access control model for permissioned blockchain frameworks

Blockchain based crowdfunding systems

Enhanced Blockchain Transaction: A Case of Food Supply Chain Management

The impact of mobility models on the performance of mobile Ad Hoc network routing protocol