OS and Networks Commons^™

Openws-Transaction: Enabling Reliable Web Service Transactions, Ivan Vasquez, John A. Miller, Kunal Verma, Amit P. Sheth

Kno.e.sis Publications

OpenWS-Transaction is an open source middleware that enables Web services to participate in a distributed transaction as prescribed by the WS-Coordination and WS-Transaction set of specifications. Central to the framework are the Coordinator and Participant entities, which can be integrated into existing services by introducing minimal changes to application code. OpenWS-Transaction allows transaction members to recover their original state in case of operational failure by leveraging techniques in logical logging and recovery at the application level. Depending on transaction style, system recovery may involve restoring key application variables and replaying uncommitted database activity. Transactions are assumed to be defined in …

Demonstrating Dynamic Configuration And Execution Of Web Processes, Karthik Gomadam, Kunal Verma, Amit P. Sheth, John A. Miller

Kno.e.sis Publications

Web processes are next generation workflows on the web, created using Web services. In this paper we demonstrate the METEOR-S Configuration and Execution Environment (MCEE) system. It will illustrate the capabilities of the system to a) Discover partners b) Optimize partner selection using constraint analysis, c) Perform interaction protocol and data mediation. A graphical execution monitor to monitor the various phases of execution will be used to demonstrate various aspects of the system.

Enterprise Systems Manager, Edward Aractingi

IT Research

Presentation on the need of remote systems administration.

Discovering Informative Connection Subgraphs In Multi-Relational Graphs, Cartic Ramakrishnan, William Milnor, Matthew Perry, Amit P. Sheth

Kno.e.sis Publications

Discovering patterns in graphs has long been an area of interest. In most approaches to such pattern discovery either quantitative anomalies, frequency of substructure or maximum flow is used to measure the interestingness of a pattern. In this paper we introduce heuristics that guide a subgraph discovery algorithm away from banal paths towards more "informative" ones. Given an RDF graph a user might pose a question of the form: "What are the most relevant ways in which entity X is related to entity Y?" the response to which is a subgraph connecting X to Y. We use our heuristics to …

Studying The Performance Of A Firewall In Network Courses, José M. Garrido

Faculty Articles

This paper presents a simple simulation model of a firewall to derive several performance metrics and briefly argues on the importance and value of modeling and simulation in courses that study various aspects of perimeter defense in network security.

The simulation model mentioned previously is part of an effort by faculty of our department to develop a multi-disciplinary repository of computational models that includes object-oriented discrete-event simulation models. One of the goals of this repository is to build resources that help educate students of computer science, software engineering, and information technology, in modeling and information security.

This and other network …

Ontoqa: Metric-Based Ontology Quality Analysis, Samir Tartir, I. Budak Arpinar, Michael Moore, Amit P. Sheth, Boanerges Aleman-Meza

Kno.e.sis Publications

As the Semantic Web gains importance for sharing knowledge on the Internet this has lead to the development and publishing of many ontologies in different domains. When trying to reuse existing ontologies into their applications, users are faced with the problem of determining if an ontology is suitable for their needs. In this paper, we introduce OntoQA, an approach that analyzes ontology schemas and their populations (i.e. knowledgebases) and describes them through a well defined set of metrics. These metrics can highlight key characteristics of an ontology schema as well as its population and enable users to make an informed …

Semantics For Scientific Experiments And The Web: The Implicit, The Formal And The Powerful, Amit P. Sheth

Kno.e.sis Publications

No abstract provided.

Optimal Adaptation In Autonomic Web Processes With Inter-Service Dependencies, Kunal Verma, Prashant Doshi, Karthik Gomadam, John A. Miller, Amit P. Sheth

Kno.e.sis Publications

We present methods for optimally adapting Web processes to exogenous events while preserving inter-service dependencies. For example, in a supply chain process, orders placed by the manufacturer may get delayed in arriving. In response to this event, the manufacturer has the choice of either waiting out the delay or changing the supplier.

Dlp Isn't So Bad After All, Peter Haase, Markus Krotzsch, York Sure, Rudi Studer, Pascal Hitzler

Computer Science and Engineering Faculty Publications

We discuss some of the recent controversies concerning the DLP fragment of OWL. We argue that it is a meaningful fragment and can serve as a basic interoperability layer between OWL and logic programming-based ontology languages.

On Static And Dynamic Partitioning Behavior Of Large-Scale Networks, Derek Leonard, Zhongmei Yao, Xiaoming Wang, Dmitri Loguinov

Computer Science Faculty Publications

In this paper, we analyze the problem of network disconnection in the context of large-scale P2P networks and understand how both static and dynamic patterns of node failure affect the resilience of such graphs. We start by applying classical results from random graph theory to show that a large variety of deterministic and random P2P graphs almost surely (i.e., with probability 1-o(1)) remain connected under random failure if and only if they have no isolated nodes. This simple, yet powerful, result subsequently allows us to derive in closed-form the probability that a P2P network develops isolated nodes, and therefore partitions, …

Modeling Fuzzy Rules With Description Logics, Sudhir Agarwal, Pascal Hitzler

Computer Science and Engineering Faculty Publications

In real application scenarios, input data and knowledge is often vague. Likewise, it is often the case that exact reasoning over data is impossible due to complex dependencies between input data and target outputs. For practical applications, however, good approximations often suffice, and efficient calculation of an approximate answer is often preferable over complex processing which may take a long time to come up with an exact answer. Fuzzy logic supports both features by providing fuzzy membership functions and fuzzy IF-THEN rule bases. In this paper, we show how fuzzy membership functions and fuzzy rules can be modeled by means …

Anonymous Dos-Resistant Access Control Protocol Using Passwords For Wireless Networks, Zhiguo Wan, Robert H. Deng, Feng Bao, Akkihebbal L. Ananda

Research Collection School Of Computing and Information Systems

Wireless networks have gained overwhelming popularity over their wired counterpart due to their great flexibility and convenience, but access control of wireless networks has been a serious problem because of the open medium. Passwords remain the most popular way for access control as well as authentication and key exchange. But existing password-based access control protocols are not satisfactory in that they do not provide DoS-resistance or anonymity. In this paper we analyze the weaknesses of an access control protocol using passwords for wireless networks in IEEE LCN 2001, and propose a different access control protocol using passwords for wireless networks. …

Computing For Human Experience And Wellness, Amit P. Sheth

Kno.e.sis Publications

No abstract provided.

Work In Progress: The Wsu Model For Engineering Mathematics Education, Nathan W. Klingbeil, Richard Mercer, Kuldip S. Rattan, Michael L. Raymer, David B. Reynolds

Kno.e.sis Publications

This paper summarizes progress to date on the WSU model for engineering mathematics education, an NSF funded curriculum reform initiative at Wright State University. The WSU model seeks to increase student retention, motivation and success in engineering through application-driven, just-in-time engineering math instruction. The WSU approach involves the development of a novel freshman-level engineering mathematics course EGR 101, as well as a large-scale restructuring of the engineering curriculum. By removing traditional math prerequisites and moving core engineering courses earlier in the program, the WSU model shifts the traditional emphasis on math prerequisite requirements to an emphasis on engineering motivation for …

Ga-Facilitated Knn Classifier Optimization With Varying Similarity Measures, Michael R. Peterson, Travis E. Doom, Michael L. Raymer

Kno.e.sis Publications

Genetic algorithms are powerful tools for k-nearest neighbors classifier optimization. While traditional knn classification techniques typically employ Euclidian distance to assess pattern similarity, other measures may also be utilized. Previous research demonstrates that GAs can improve predictive accuracy by searching for optimal feature weights and offsets for a cosine similarity-based knn classifier. GA-selected weights determine the classification relevance of each feature, while offsets provide alternative points of reference when assessing angular similarity. Such optimized classifiers perform competitively with other contemporary classification techniques. This paper explores the effectiveness of GA weight and offset optimization for knowledge discovery using knn classifiers with …

Security Analysis And Improvement Of Return Routability Protocol, Ying Qiu, Jianying Zhou, Robert H. Deng

Research Collection School Of Computing and Information Systems

Mobile communication plays a more and more important role in computer networks. How to authenticate a new connecting address belonging to a said mobile node is one of the key issues in mobile networks. This paper analyzes the Return Routability (RR) protocol and proposes an improved security solution for the RR protocol without changing its architecture. With the improvement, three types of redirect attacks can be prevented.

A Comparative Study And Analysis Of Pvm And Mpi For Parallel And Distributed Systems, Dr. Syed Jamal Hussain, Ghufran Ahmed

International Conference on Information and Communication Technologies

Networks of Workstations (NOWs) based on various operating systems are globally accepted as the standard for computing environments in the IT industry. To harness the tremendous potential for computing capability represented by these NOWs, various new tools are being developed. Parallel Virtual Machine (PVM) and Message Passing Interface (MPI) have existed on UNIX workstations for some time, and are maturing in their capability for handling Distributed Parallel Processing (DPP). This research is aimed to explore each of these two vehicles for DPP, considering capability, ease of use, and availability, and compares their distinguishing features; and also explores programmer interface and …

Poster Session A: Address Auto-Configuration In Mobile Ad Hoc Networks Using Olsr, M.U. Saleem, Shoaib Mukhtar

International Conference on Information and Communication Technologies

Mobile Ad Hoc Networks is dynamic multi-hop network that is formed by a set of mobile wireless nodes that are sharing the same bandwidth. So every node possibly acts as a host as well as a router. In traditional networks, hosts can depend on the central servers like DHCP for IP assignment and management, but it cannot be extended to MANET due to its distributed and dynamic nature. Many solutions have been proposed, amongst them some are try to extend the stateless configuration of IPv6 for MANET; others distribute IP addresses among nodes (using binary distribution). Most of these proposed …

Poster Session A: Analyzing & Enhancing Energy Efficient Communication Protocol For Wireless Micro-Sensor Networks, Irfan Majeed Butt, Shoab Ahmed Khan

International Conference on Information and Communication Technologies

The paper presents an analysis of energy efficient routing protocols with direct communication protocol. A comparison of these protocols is made analyzing energy consumption at each node and explaining system lifetime after certain rounds. The paper also proposes a novel energy conscious cluster head selection algorithm for making system more reliable and efficient. Simulation shows that our proposed algorithm enhances the system reliability and accuracy.

Poster Session A: Use Of Neural Networks In Multi-Sensor Fusion For Remote Sensing Applications, Engr. S. M. Haider Aejaz

International Conference on Information and Communication Technologies

Remote sensing encounters different types of objects with similar spectral signatures. Multi-sensors form the solution of the problem with spectral different parts of the spectrum and the resulting information is then processed using digital signal processing techniques. Artificial neural networks provide another method for processing this information. The research describes how neural networks may be used to classify objects on the basis of their spectral response to different frequencies.

Poster Session A: A Multi-Priority Application Framework For Mobile Ad Hoc Networks, M. Ibrahim Channa, Ahsan Chaudhry, Kashif Sharif, Irum Memon

International Conference on Information and Communication Technologies

The fast spread of small wireless computers has enabled the design and deployment of wireless Ad Hoc networks. Typical applications proposed for such networks include both Real Time and Non-Real Time applications. We propose an architecture that provides a complete framework for Real Time applications and Best Effort traffic. The proposed architecture comprises of an Ad Hoc Routing Protocol for route setup and route repair, a Bandwidth Allocation and Reservation Scheme for Real Time traffic, and a MAC layer protocol that provides traffic differentiation. The Admission Control module is used to admit or reject a new Real Time flow request …

Keynote: Emerging Era Of Cooperative Empowerment: Grid, Peer-To-Peer, And Community Computing, Dr. Javed I. Khan

International Conference on Information and Communication Technologies

In this paper we discuss an emerging trend in high performance computing-the social or community computing. The emergence of screensaver computing, grid computing, peer-to-peer systems, and their demonstrated ability to garner computing power as potent as the supercomputers seems to be auspicious. In this paper we discuss the new phenomenon of community computing-including their potential applications in solving a new set of grand challenge problems. We also discuss the previously uncharted technological challenges architects of these new paradigms are addressing.

Tcp Attack Analysis On Packets Captured Using Symantec Decoy Server, Ali Bakhtiar Nizamani, Bahari Belaton

International Conference on Information and Communication Technologies

This paper discusses results obtained from Symantec Decoy Server (previously known as Mantrap) with an introduction to honeypots. Lance Spitzner of the Honeynet Project introduced the concept of honeypots. A honeypot is in essence a decoy server, which has no real or strategic value and is only setup to attract crackers towards it. The idea is to trap the crackers and learn cracking techniques from them. Rapid increase in unauthorized intrusions over the Internet provides a great motivation to explore honeypots at a greater depth. We will provide analysis on TCP based denial of service attack carried out on Symantec …

Secured Network Model For Management Information System Based On Ip Security (Ipsec) Encryption Using Multilayered Approach Of Network Security, Dr. Amir Hassan Pathan, Muniza Irshad

International Conference on Information and Communication Technologies

Secured flow of information through the network and play important role in the management information systems. In this paper I describe Secured Network Model For Corporate & Business Organization In Based On Network Level IP Security (IPSec) Encryption & Its Physical Layout Using Multilayered Approach. I have four important considerations for adoption of secured network model as secured network model for management information system.

Exploring The Possibility Of Implementing Telecommuting At University Utara Malaysia (Uum), Dr. Wan Rozaini Sheik Osman, Haitham Rashdan

International Conference on Information and Communication Technologies

Global technology has quickly progressed to provide more accessible business modes of communication. The image of the traditional workplace as a particular place to go to work is being replaced with employees working wherever they can be most efficient and productive, whether at home, on a plane, on the road, or a telework center. The availability of affordable technology has been one of the major contributors to the "any time, any place" telecommuting trend. The purpose of this study is to investigate the possibility of the implementation of teleworking at University Utara Malaysia (UUM), the suitable job selection criteria, the …

G-Value Decoding Of Greedy Codes, Khalil Ahmad

International Conference on Information and Communication Technologies

Error-correcting codes are widely used to increase the reliability of transmission of information over various forms of communication channels. Codes with a given minimum distance d can be constructed by a greedy algorithm [2]. In this paper, I proposed a new algorithm for the allocation of g-values to the binary vectors. Hamming (7, 4, 3) code can be generated by the application of greedy algorithm on the binary vectors of length 7 arranged in B-ordering. This code is used to demonstrate a new decoding technique for linear codes in addition to the schemes already known for decoding such as Syndrome …

Enterprise Applications Of Semantic Web: The Sweet Spot Of Risk And Compliance, Amit P. Sheth

Kno.e.sis Publications

Semantic Web is in the transition from vision and research to reality. In this early state, it is important to study the technical capabilities in the context of real-world applications, and how applications built using the Semantic Web technology meet the real market needs. Beyond push from research, it is the market pull and the ability of the technology to meet real business needs that is a key to ultimate success of any technology. In this paper, we discuss the market of Risk and Compliance which presents unique market opportunity combined with challenging technical requirements. We discuss how the Semantic …

Ontology Learning As A Use-Case For Neural-Symbolic Integration, Pascal Hitzler, Sebastian Bader, Artur Garcez

Computer Science and Engineering Faculty Publications

We argue that the field of neural-symbolic integration is in need of identifying application scenarios for guiding further research. We furthermore argue that ontology learning - as occurring in the context of semantic technologies - provides such an application scenario with potential for success and high impact on neural-symbolic integration.

Integrating First-Order Logic Programs And Connectionist Systems - A Constructive Approach, Sebastian Bader, Andreas Witzel, Pascal Hitzler

Computer Science and Engineering Faculty Publications

Significant advances have recently been made concerning the integration of symbolic knowledge representation with artificial neural networks (also called connectionist systems). However, while the integration with propositional paradigms has resulted in applicable systems, the case of first-order knowledge representation has so far hardly proceeded beyond theoretical studies which prove the existence of connectionist systems for approximating first-order logic programs up to any chosen precision. Advances were hindered severely by the lack of concrete algorithms for obtaining the approximating networks which were known to exist: the corresponding proofs are not constructive in that they do not yield concrete methods for building …

Extracting Reduced Logic Programs From Artificial Neural Networks, Jens Lehmann, Sebastian Bader, Pascal Hitzler

Computer Science and Engineering Faculty Publications

Artificial neural networks can be trained to perform excellently in many application areas. While they can learn from raw data to solve sophisticated recognition and analysis problems, the acquired knowledge remains hidden within the network architecture and is not readily accessible for analysis or further use: Trained networks are black boxes. Recent research efforts therefore investigate the possibility to extract symbolic knowledge from trained networks, in order to analyze, validate, and reuse the structural insights gained implicitly during the training process. In this paper, we will study how knowledge in form of propositional logic programs can be obtained in such …