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Analysis of Insiders Attack Mitigation Strategies

Procedia - Social and Behavioral Sciences 2014年 129卷 611-618页

作者： Zulkefli Mohd Yusop Jemal H. Abawajy Parallel and Distributed Computing Lab School of Information Technology Deakin University Victoria Australia

Insider threat has become a serious information security issues within organizations. In this paper, we analyze the problem of insider threats with emphases on the Cloud computing platform. Security is one of the major anxieties when planning to adopt the Cloud. This paper will contribute towards the conception of mitigation strategies that can be relied on to solve the malicious insider threats. While Cloud computing relieves organizations from the burden of the data management and storage costs, security in general and the malicious insider threats in particular is the main concern in cloud environments. We will analyses the existing mitigation strategies to reduce malicious insiders threats in Cloud computing.

关键词： Cloud computing Insider Attacks Malicious Insider Collusions Mitigation Strategies Cloud computing Security Data Security.

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Profiling Phishing Email Based on Clustering Approach

Profiling Phishing Email Based on Clustering Approach

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IEEE International Conference on Trust, Security and Privacy in computing and Communications (TrustCom)

作者： Isredza Rahmi A. Hamid Jemal H. Abawajy Parallel and Distributed Computing Lab Deakin University Victoria Australia

In this paper, an approach for profiling email-born phishing activities is proposed. Profiling phishing activities are useful in determining the activity of an individual or a particular group of phishers. By generating profiles, phishing activities can be well understood and observed. Typically, work in the area of phishing is intended at detection of phishing emails, whereas we concentrate on profiling the phishing email. We formulate the profiling problem as a clustering problem using the various features in the phishing emails as feature vectors. Further, we generate profiles based on clustering predictions. These predictions are further utilized to generate complete profiles of these emails. The performance of the clustering algorithms at the earlier stage is crucial for the effectiveness of this model. We carried out an experimental evaluation to determine the performance of many classification algorithms by incorporating clustering approach in our model. Our proposed profiling email-born phishing algorithm (ProEP) demonstrates promising results with the RatioSize rules for selecting the optimal number of clusters.

关键词： Electronic mail Clustering algorithms Classification algorithms Data models Feature extraction Prediction algorithms Computational modeling

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A Multilevel Trust Management Framework for Service Oriented Environment

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Procedia - Social and Behavioral Sciences 2014年 129卷 396-405页

作者： Soon-Keow Chong Jemal Abawajy Isredza Rahmi A. Hamid Masitah Ahmad Parallel and Distributed Computing Lab School of Information Technology Deakin University Victoria 3217 Australia

In service-oriented computing applications, trust management systems are emerging as a promising technology to improve the e-commerce consumers and provider's relationship. Both consumers and providers need to evaluate the trust levels of potential partners before engaging in interactions. The accuracy of trust evaluation greatly affects the success rate of the interaction. This paper addresses the threats and challenges that can compromise the reliability of the current trust management system. This paper studies and examines the importance of the trust factors of the trust management framework, specifically in dealing with malicious feedback ratings from e-commerce users. To improve the reliability of the trust management systems, an approach that addresses feedback-related vulnerabilities is paramount. A multilevel trust management system computes trust by combining different types of information. Using this combination, we introduce a multilevel framework for a new interactive trust management to improve the correctness in estimate of trust information.

关键词： E-Commerce Filtering Malicious Trust Rating Trust Management

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Service Level Agreements for the Digital Library

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Procedia - Social and Behavioral Sciences 2014年 147卷 237-243页

作者： Masitah Ahmad Jemal H. Abawajy Parallel and Distributed Computing Lab Scholl of Information Technology Deakin University 3216 Victoria Australia

Digital libraries offer a massive set of digital services to geographically distributed library patrons. The digital services are commonly sourced from third-party service providers for charge. As externally sourced digital services are becoming prevalence, issues regarding their quality assessment are gaining critical importance. Unfortunately, sourcing digital services from external providers has brought with it stringent quality of service (QoS) demand from the library service users. Currently, there is no way for ensuring QoS between the digital service providers and the library management. In this paper, we propose service level agreements (SLAs) to capture the QoS requirements of the digital service users and the commitments, as well as adherence of the digital service providers.

关键词： SLAs Quality of Service Digital Library Third-party Sourced Services

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Enhancing Trust Management in Cloud Environment

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Procedia - Social and Behavioral Sciences 2014年 129卷 314-321页

作者： Soon-Keow Chong Jemal Abawajy Masitah Ahmad Isredza Rahmi A. Hamid Parallel and Distributed Computing Lab School of Information Technology Deakin University Victoria 3217 Australia

Trust management has been identified as vital component for establishing and maintaining successful relational exchanges between e-commerce trading partners in cloud environment. In this highly competitive and distributed service environment, the assurances are insufficient for the consumers to identify the dependable and trustworthy Cloud providers. Due to these limitations, potential consumers are not sure whether they can trust the Cloud providers in offering dependable services. In this paper, we propose a multi-faceted trust management system architecture for cloud computing marketplaces, to support customers in identifying trustworthy cloud providers. This paper presents the important threats to a trust system and proposed a method for tackling these threats. It described the desired feature of a trust management system. It security components to determine the trustworthiness of e- commerce participants to helps online customers to decide whether or not to proceed with a transaction. Based on this framework, we proposed an approach for filtering out malicious feedbacks and a trust metric to evaluate the trustworthiness of service provider. Results of various simulation experiments show that the proposed multi-attribute trust management system can be highly effective in identifying risky transaction in electronic market places.

关键词： E-Commerce cloud Reputation Unfair Rating Trust Management.

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DMSA: Decentralized and Multi-keyword Selective Data Sharing and Acquisition 22

DMSA: Decentralized and Multi-keyword Selective Data Sharing...

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22nd IEEE International Symposium on parallel and distributed Processing with Applications, ISPA 2024

作者： Lin, Moheng Shi, Peichang Fu, Xiang Jiang, Feng Yi, Guodong National University of Defense Technology National Key Laboratory of Parallel and Distributed Computing College of Computer Science Changsha410073 China Xiangjiang Lab Changsha410073 China

ISBN: (纸本)9798331509712

Blockchain technology has been extensively uti-lized in decentralized data-sharing applications, with the immutability of blockchain providing a witness for the circulation of data. However, current blockchain data-sharing solutions still fail to address the simultaneous screening needs of both the sender and receiver with multi-keywords. Without the capability to support bilateral simultaneous filtering, the disclosure of reasons for matching failures could inadvertently expose sensitive user data. Therefore, the challenge lies in enabling ciphertexts with multiple keywords and receivers with multiple interests to achieve mutual and simultaneous matching. Based on the technical foundations of SE (Searchable Encryption), MABE (Multi-Attribute Based Encryption), and polynomial fitting, this paper proposes a scheme called DMSA (Decentralized and Multi-keyword selective Sharing and selective Acquisition). This scheme can satisfy soundness, enabling ciphertexts carrying multiple keywords and receivers representing multiple interests to match each other simultaneously. We conducted a security analysis that confirms the security of DMSA against chosen-plaintext attacks. Our experimental results demonstrate a significant efficiency improvement, with a 67% increase over single-keyword data-sharing schemes and a 16% enhancement compared to the existing multi-keyword data-sharing solution. © 2024 IEEE.

关键词： Ciphertext

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Digital Library Service Quality Assessment Model

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Procedia - Social and Behavioral Sciences 2014年 129卷 571-580页

作者： Masitah Ahmad Jemal H. Abawajy Parallel and Distributed Computing Lab School of Information Technology 3216 Deakin University Victoria Australia

With the introduction of digital library services, the quality of service (QoS) has become paramount importance for evaluating the performance of the digital library service provisioning. Various models and frameworks have been proposed to evaluate digital library QoS. However, the prevalent research concentration in QoS for digital library is on the dimensions of the perspective of users’ perception. In this paper, we address the same research problem from a different dimension which is from the perspective of the digital service providers. To this end, we propose a new model suitable for evaluating the performance of digital library services. We argue that the level of QoS provided by the digital service providers have direct impact on the perception and satisfaction of the digital service end-users.

关键词： Digital Library Quality of Services Electronic Services Service Quality Model

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Preserving Utility in Social Network Graph Anonymization

Preserving Utility in Social Network Graph Anonymization

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IEEE International Conference on Trust, Security and Privacy in computing and Communications (TrustCom)

作者： Mohd Izuan Hafez Ninggal Jemal H. Abawajy Parallel and Distributed Computing Lab Deakin University Victoria Australia

To protect from privacy disclosure, the social network graph is modified in order to hide the information that potentially be used to disclose person's identity. However, when the social network graph is changed, it is a great challenge to balance between the privacy gained and the loss of data utility. In this paper, we address this problem. We propose a new graph topological-based metric to improve utility preservation in social network graph anonymization. We compare the proposed approach with the amount-of-edge-change metric that popularly used in most of previous works. Experimental evaluation shows that our approach generates anonymized social network with improved utility preservation.

关键词： Social network services Measurement Privacy Communities Data privacy Computer aided software engineering Knowledge engineering

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Linking stack overflow to issue tracker for issue resolution 2014

Linking stack overflow to issue tracker for issue resolution

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6th Asia-Pacific Symposium on Internetware, Internetware 2014

作者： Wang, Tao Yin, Gang Wang, Huaimin Yang, Cheng Zou, Peng Key Lab. of Parallel and Distributed Computing Colledge of Computer National University of Defence Technology ChangSha Hunan China Academy of Equipment Command and Technology Beijing100000 China

ISBN: (纸本)9781450334013

Issue resolution is a central task for software development. The efficiency of issue fixing largely relies on the issue report quality. Stack Overflow, which hosts rich and real-Time posts about programming-specific problems, is a valuable external source of knowledge for issue resolution. In this paper, we present CrossLink, an analysis framework that automatically introduce related posts in Stack Overflow to issues in Android Issue Tracker. This helps developers to leverage the abundant and professional knowledge from massive programmers in Stack Overflow for issue resolution. CrossLink explores the semantic similarities as well as the temporal associations between the two types of repositories to recommend Stack Overflow posts to Android issues. The internal links in Stack Overflow are also employed to improve the linking accuracy. The experiments prove the effectiveness of CrossLink with precision of 62.51% for top-10 recommendations, which is significantly higher than the state-of-Art method. © 2014 ACM.

关键词： Android (operating system)

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Next Generation Cloud computing Reliability:Issues and Challenges

Next Generation Cloud Computing Reliability:Issues and Chall...

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The 7th International Symposium on parallel Architectures, Algorithms and Programming, PAAP2015(2015年第七届国际并行体系结构,算法和编程研讨会)

作者： Jemal Abawajy Parallel and Distributed Computing Lab School of Information Technology Deakin University Australia

Introduction Cloud computing is widely recognized for its cost savings,scaling and for accelerating business innovation.

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