Encryption Algorithms

Encryption algorithms provide the securely transmitted data over insecure communication channels. In this paper a different stream cipher scheme is presented which is very simple in hardware implementation and provides relatively high level of security. Geffe generator is used for the generation of a complex key in a unique way. In this modified scheme, keystream is dependent not only on the inputs of the Geffe generator but also on the Gold Codes generated with the help of outputs of pseudo noise (PN) sequences of the two inputs of Geffe generator. Further complexity of the key is increased by introducing automatic shift of the contents of one LFSR to generate a new Gold code.

The inherent dynamical in grid computing has made it extremely difficult to come up with near-optimal solutions to efficiently schedule tasks in grids. Task Scheduling plays crucial role in Grid computing. It is a challenge-able issue among scientists to achieve better results especially in makespan based on various AI methods. Nowadays, non deterministic algorithms provide better results for these tasks. In this study the task scheduling problem in Grid computing environments has been addressed. In this paper, Queen Bee Algorithm is used for resolving scheduling problem and the obtained results are compared with several Meta–heuristic Algorithms which are developed to solve the problem. As it illustrated, queen bee algorithm is declined considerably makespan and execution time parameters rather than others in different states.

There are a lot of Challenges raised over the security of information written to the Mifare classic 1k a Radio Frequency Identification card due to the vulnerability status of this card. The card's information can be traced to another card or an electronic device. These issues allow for unauthorized access to the data on the Mifare classic 1k-enabled device data which are transmitted between the device and reader. The information produced by a Mifare classic 1k enabled credential system for a stated status is also a concern. The focus of the study is to develop an algorithm to secure information written to the Near Field Communication tag. The performance of the system shows that when n=50, with elapse time of 1.2ms the unique character was 64, likewise at optimal when n=200, the elapse time was 1ms with the unique character of 62. This result shows a decline of the symbol-by-symbol restriction with elapses time which can secure the information of the unique character.

"Networks are mathematically directed (in practical applications also undirected) graphs and a graph is a one-dimensional abstract complex, i.e., a topological space. Network theory focuses on various topological structures and properties, dynamic properties, and functionality-topology relationship, etc. There are some common mathematical foundations, theories and methodology for network analysis, in which graph theory, statistics, and operational research, etc., are the fundamental sciences of network analysis. Various emerging biological networks, at both micro- and macro- levels, will provide numerous sources for the development of general network theory and methodology and also facilitate the development of theory and methodology of biological networks.

Biological network analysis is a fast moving science. Many core scientific issues, for example, ecological structure, co-evolution, co-extinction and biodiversity conservation in ecology, and cancer development and metabolic regulation in health science, etc., are expected to be addressed by network approaches and network analysis. Network analysis is becoming the core methodology to treat complex biological systems. As the fast development of this area, more and more papers on biological networks are published.

At present explosive numbers of quality papers on biological networks are being published each year. The initiation of the journal, Network Biology, will provide a public and unified platform for the publication of these studies. From this integrated and unique journal, researchers, university teachers and students will thoroughly have an in-depth and complete insight on knowledge, methodology and recent advances of biological networks.

In the view of system dynamics, biological networks are always self-organized systems with emergent, autonomous and adaptive properties. Their dynamics can be represented by agent-based modeling, individual-based modeling and some other methodologies like neural network modeling. Therefore, agent-based modeling, individual-based modeling, self-organization of biological systems, and neural network modeling, etc., fall into the aims and scope of the journal, Network Biology.

The NETWORK BIOLOGY (ISSN 2220-8879) is an open access, peer-reviewed online journal that considers scientific articles in all different areas of network biology. It is the transactions of the International Society of Network Biology.It dedicates to the latest advances in network biology. The goal of this journal is to keep a record of the state-of-the-art research and promote the research work in these fast moving areas. The topics to be covered by Network Biology include, but are not limited to:

•Theories, algorithms and programs of network analysis
•Innovations and applications of biological networks
•Dynamics, optimization and control of biological networks
•Ecological networks, food webs and natural equilibrium
•Co-evolution, co-extinction, biodiversity conservation
•Metabolic networks, protein-protein interaction networks, biochemical reaction networks, gene networks, transcriptional regulatory networks, cell cycle networks, phylogenetic networks, network motifs
•Physiological networks
•Network regulation of metabolic processes, human diseases and ecological systems
•Social networks, epidemiological networks
•System complexity, self-organized systems, emergence of biological systems, agent-based modeling, individual-based modeling, neural network modeling, and other network-based modeling, etc.
We are also interested in short communications that clearly address a specific issue or completely present a new ecological network, food web, or metabolic or gene network, etc.

Authors can submit their works to the email box of this journal, networkbiology@iaees.org. All manuscripts submitted to this journal must be previously unpublished and may not be considered for publication elsewhere at any time during review period of this journal. Authors are asked to read Author Guidelines before submitting manuscripts.

In addition to free submissions from authors around the world, special issues are also accepted. The organizer of a special issue can collect submissions (yielded from a research project, a research group, etc.) on a specific research topic, or submissions of a scientific conference for publication of special issue.

Network Biology 
ISSN 2220-8879
URL: http://www.iaees.org/publications/journals/nb/online-version.asp
RSS feed: http://www.iaees.org/publications/journals/nb/rss.xml
E-mail: networkbiology@iaees.org
Editor-in-Chief: WenJun Zhang"

The purpose of this paper is to present a set of well-investigated Internet of Things (IoT) security guidelines and best practices that others can use as a basis for future standards, certifications, laws, policies and/or product ratings. Most, if not all, of these guidelines would apply to any Internet- connected device; however, this paper focuses on security and privacy measures either peculiar to the IoT or especially relevant to the IoT. This paper assumes the end-to-end processing model of the Internet, in which application features such as security are handled by end nodes of the network, client and server hardware. It focuses on security mechanisms, including patching and updating, that should be considered at the manufacturing design phase rather than after devices have already been built or deployed.

Encryption is almost as old as writing, because as long as people began to write, began to feel the need to hide or not to allow anyone to understand what was written. The purpose of encryption in data transmission is to encode the data to be transmitted so that they are unintelligible in the event of espionage. The objective of this study is to evaluate clearly the concept of encryption, its use and its application through a technique in software developed in C. The work was qualitative. Based on works published by expert’s scholars, who have pointed out the concepts, uses, applications, vulnerabilities and flaws of certain cryptographic techniques. Encryption is a totally necessary and important concept in the media and information we use today, as there is a steady increase in Internet use and frequent exchange of data between servers and users who transmit personal data and require confidentiality and security.

Data Warehouses (DWs) are the enterprise’s most valuable asset in what concerns critical business information, making them an appealing target for attackers. Packaged database encryption solutions are considered the best solution to protect sensitive data. However, given the volume of data typically processed by DW queries, the existing encryption solutions heavily increase storage space and introduce very large overheads in query response time, due to decryption costs. In many cases, this performance degradation makes encryption unfeasible for use in DWs. In this paper we propose a transparent data masking solution for numerical values in DWs based on the mathematical modulus operator, which can be used without changing user application and DBMS source code. Our solution provides strong data security while introducing small overheads in both storage space and database performance. Several experimental evaluations using the TPC-H decision support benchmark and a real-world DW are included. The results show the overall efficiency of our proposal, demonstrating that it is a valid alternative to existing standard encryption routines for enforcing data confidentiality in DWs.