Internet security applications of the Munn rings

Effective multiple clustering systems, or clusterers, have important applications in information security. The aim of the present article is to introduce a new method of designing multiple clusterers based on theMunn rings and describe a class of optimal clusterers which can be obtained in this construction.

A Grobner-Shirshov algorithm for applications in internet security

The design of multiple classification and clustering systems for the detection of malware is an important problem in internet security. Grobner-Shirshov bases have been used recently by Dazeley et al. [15] to develop an algorithm for constructions with certain restrictions on the sandwich-matrices. We develop a new Grobner Shirshov algorithm which applies to a larger variety of constructions based on combinatorial Rees matrix semigroups without any restrictions on the sandwich matrices.

Intelligent internet computing: applications and security systems

Intelligent Internet Computing (IIC) is emerging rapidly as an exciting new paradigm including pervasive, grid, and peer-to-peer computing to provide computing and communication services any time and anywhere. IIC paradigm foresees seamless integration of communicating and computational devices and applications embedded in all parts of our environment, from our physical selves, to our homes, our offices, our streets and so on. Although IIC presents exciting enabling opportunities, the benefits will only be realized if application and security issues can be appropriately addressed. This special issue is intended to foster the dissemination of state-of-the-art research in the area of IIC, including novel applications associated with its utilization, security systems and services, security models. We plan to publish high quality manuscripts, which cover the various practical applications and related security theories of IIC. The papers should not be submitted simultaneously for publication elsewhere. Submissions of high quality papers describing mature results or on-going work are invited. Selected high-quality papers from “the Eleventh IEEE International Conference on High Performance Computing and Communications (HPCC-09) and the Third International Conference on Information Security and Assurance (ISA-09),” will be published in this special issue of Journal of Internet Technology on "Intelligent Internet Computing".

Development of organizational internet security policy: a holistic approach

This chapter describes a general framework for developing organizational internet security policy. A model of internet security risks for an internet user organization is proposed. The framework utilizes this model, as well as a holistic approach, to develop the organization's internet security policy. A hierarchy of sub-policies for the internet security policy is also suggested. This chapter presents findings from part of a wider investigation into internet security policy.

Distances of centroid sets in a graph-based construction for information security applications

The aim of this paper is to prove that, for every balanced digraph, in every incidence semiring over a semifield, each centroid set J of the largest distance also has the largest weight, and the distance of J is equal to its weight. This result is surprising and unexpected, because examples show that distances of arbitrary centroid sets in incidence semirings may be strictly less than their weights. The investigation of the distances of centroid sets in incidence semirings of digraphs has been motivated by the information security applications of centroid sets.

Using multi-core processors to support network security applications

Multi-core processors represent a major evolution in computing hardware technology. Multi-core provides a network security application with more processing power from the hardware perspective. However, there are still significant software design challenges that must be overcome. In this paper, we present new architecture for multi-core supported network security applications, which aims at providing network security processing without causing performance penalty to normal network operations. We also provide an instance of this architecture - a multi-core supported intrusion detection system based on neural network. While hardware-based parallelisms have shown their advantage on throughput performance, parallelisms based multi-core provides more flexible, high performance, comprehensive, intelligent, and scalable solutions to network security applications. © 2008 IEEE.

Security for internet banking: a framework

As a continually growing financial service of electronic commerce, Internet banking requires the development and implementation of a sound security procedure. This involves designing effective methods via which users can
be authenticated in a remote environment. Specifically for Internet banking there is areal need for away uniquely to identify and authenticate users without the possibility of their authenticity being cloned. Some technologies in use have been presented for meeting the security requirements for national, regional and global Internet banking assurance. However, there has been little research conducted particularly on the creation of secure
and trusted pathways. Concentrates on presenting a security framework for Internet banking based on discovering and defining these pathways in terms of adequate authentication mechanisms. Proposes a framework concerning how to identify security requirements for Internet banking such that the
transactions being conducted are secured within their respective environments.

A security evaluation criteria for baseline security standards

Recent advances in technology and new software applications are steadily transforming human civilization into what is called the Information Society. This is manifested by the new terminology appearing in our daily activities. E-Business, E-Government, E-Learning, E-Contracting, and E-Voting are just a few of the ever-growing list of new terms that are shaping the Information Society. Nonetheless, as "Information" gains more prominence in our society, the task of securing it against all forms of threats becomes a vital and crucial undertaking. Addressing the various security issues confronting our new Information Society, this volume is divided into 13 parts covering the following topics: Information Security Management; Standards of Information Security; Threats and Attacks to Information; Education and Curriculum for Information Security; Social and Ethical Aspects of Information Security; Information Security Services; Multilateral Security; Applications of Information Security; Infrastructure for Information Security Advanced Topics in Security; Legislation for Information Security; Modeling and Analysis for Information Security; Tools for Information Security. Security in the Information Society: Visions and Perspectives comprises the proceedings of the 17th International Conference on Information Security (SEC2002), which was sponsored by the International Federation for Information Processing (IFIP), and jointly organized by IFIP Technical Committee 11 and the Department of Electronics and Electrical Communications of Cairo University. The conference was held in May 2002 in Cairo, Egypt. This volume is essential reading for scholars, researchers, and practitioners interested inkeeping pace with the ever-growing field of Information Security.

The road to internet banking: understanding emerging customer issues

This paper presents findings from an empirical study of banking customer experiences with the adoption of Internet banking. Using a qualitative, interpretive grounded theory approach and single and group interviews, the study explores customer perceptions and experiences and provides an understanding of how and why specific factors affect their decision whether or not to bank on the Internet in the current era. The findings are used to develop a theoretical framework which conceptualizes and links consumer issues influencing the adoption of this application, and we also provide a set of recommendations for banks. Specifically, the findings suggest that convenience – in particular, time savings – is the major motivator to bank on the Internet, while there are a range of other influential factors which could be modulated by banks. The results also highlight increasing online risk acceptance by customers and the growing importance of deep levels of customer support for online services. Key gender differences in attitudes to Internet banking are highlighted. This study suggests that organizations will improve their management of customer attitudes to new Internet service applications by understanding the need to proactively address customer fears and misconceptions about the technologies involved.

The Australian small to medium enterprise E-business Security Methodology (ASME-EBSM)

This research investigated Australian SMEs (small to medium enterprises), E-business and strategies for security management. Limitations of current approaches and empirical survey results produced the Australian SME E-business Security Methodology. This new approach delivers recommendations to provide e-business security management strategies for micro, small and medium SME e-business systems.

Management framework for corporate telecommunication and data centre information security

Network security, particularly Internet security, is at the forefront of business and government networks. This research has discovered weaknesses in current professional practice, particularly in mitigation strategies to reduce the impacts of security violations in corporate telecommunications and data centres. The importance of integrating security policies, processes and operational practice is demonstrated. Leadership models and innovation mechanisms best suited to improved security design are also identified.

Detecting stepping stones in internet environments

An effective and efficient scheme along with a number of related algorithms were presented in this thesis for detecting stepping stones in real Internet environments, even when evasion techniques are used by attackers. A high quantitative comparative experimental analysis on stepping stone detection systems was conducted as well.

Classifying network traffic in the big data era

With the arrival of Big Data Era, properly utilizing the power of big data is becoming increasingly essential for the strength and competitiveness of businesses and organizations. We are facing grand challenges from big data from different perspectives, such as processing, communication, security, and privacy. In this talk, we discuss the big data challenges in network traffic classification and our solutions to the challenges. The significance of the research lies in the fact that each year the network traffic increase exponentially on the current Internet. Traffic classification has wide applications in network management, from security monitoring to quality of service measurements. Recent research tends to apply machine-learning techniques to flow statistical feature based classification methods. In this talk, we propose a series of novel approaches for traffic classification, which can improve the classification performance effectively by incorporating correlated information into the classification process. We analyze the new classification approaches and their performance benefit from both theoretical and empirical perspectives. A large number of experiments are carried out on two real-world traffic datasets to validate the proposed approach. The results show the traffic classification performance can be improved significantly even under the extreme difficult circumstance of very few training samples. Our work has significant impact on security applications.

A competitive three-level pruning technique for information security

The reduction of size of ensemble classifiers is important for various security applications. The majority of known pruning algorithms belong to the following three categories: ranking based, clustering based, and optimization based methods. The present paper introduces and investigates a new pruning technique. It is called a Three-Level Pruning Technique, TLPT, because it simultaneously combines all three approaches in three levels of the process. This paper investigates the TLPT method combining the state-of-the-art ranking of the Ensemble Pruning via Individual Contribution ordering, EPIC, the clustering of the K-Means Pruning, KMP, and the optimisation method of Directed Hill Climbing Ensemble Pruning, DHCEP, for a phishing dataset. Our new experiments presented in this paper show that the TLPT is competitive in comparison to EPIC, KMP and DHCEP, and can achieve better outcomes. These experimental results demonstrate the effectiveness of the TLPT technique in this example of information security application.

Reducing cache lookup and publish overhead through locality awareness in P2P web caching

Peer-to-Peer (P2P) Web caching has been a hot research topic in recent years as it can create scalable and robust designs for decentralized Internet-scale applications. However, many P2P Web caching systems suffer expensive overheads such as lookup and publish messages, and lack of locality awareness. In this paper we present the development of a locality aware P2P cache system to overcome these limitations by using routing table locality, aggregation and soft state. The experiments show that our P2P cache system improves the performance of index operations through the reduction of the amount of information processed by nodes, the reduction of the number of index messages sent by nodes, and the improvement of the locality of cache pointers.