Chirag Modi

National Institute of Technology, Surat, Computer, Graduate Student

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Anirach Mingkhwan

King Mongkut's University of Technology North Bangkok

Armando Marques-Guedes

UNL - New University of Lisbon

Paul Tobin

Dublin Institute of Technology

Roshan Chitrakar

Nepal College of Information Technology

Anas Daghistani

Umm Al-Qura University, Makkah, Saudi Arabia

Sajadin Sembiring

Universitas Sumatera Utara

Journal of Computer Science IJCSIS

Aziah Asmawi

UPM - Universiti Putra Malaysia

Bogdan Gabrys

University of Technology Sydney

Ashok Paranjothi

Sri Sairam Institute Of Technology

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Papers by Chirag Modi

Bayesian Classifier and Snort based network intrusion detection system in cloud computing

Abstract One of the major security issues in cloud computing is to protect against network intrus... more Abstract One of the major security issues in cloud computing is to protect against network intrusions that affect confidentiality, availability and integrity of Cloud resources and offered services. To address this issue, we design and integrate Bayesian Classifier and Snort based network intrusion detection system (NIDS) in Cloud. This framework aims to detect network intrusions in Cloud environment with low false positives and affordable computational cost.

Integrating Signature Apriori based Network Intrusion Detection System (NIDS) in Cloud Computing

Procedia Technology, Jan 1, 2012

One of the major security issues in Cloud computing is to detect malicious activities at the netw... more One of the major security issues in Cloud computing is to detect malicious activities at the network layer. In this paper, we propose a framework integrating network intrusion detection system (NIDS) in the Cloud. Our NIDS module consists of Snort and signature apriori algorithm. It generates new rules from captured packets. These new rules are appended in the Snort configuration file to improve efficiency of Snort. It aims to detect known attacks and derivative of known attacks in Cloud by monitoring network traffic, while ensuring low false positive rate with reasonable computational cost. We also recommend the positioning of NIDS in Cloud. We present experimental setup and discuss the design goals expected from proposed framework.

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A novel approach for e-payment using virtual password system

arXiv preprint arXiv:1208.3859, Jan 1, 2012

A novel framework for intrusion detection in cloud

Proceedings of the Fifth …, Jan 1, 2012

Abstract One of the major security challenges in cloud computing is the detection and prevention ... more Abstract One of the major security challenges in cloud computing is the detection and prevention of denial-of-service (DoS) attacks. In order to detect and prevent DoS attacks as well as other malicious activities at the network layer, we propose a framework which integrates a network intrusion detection system (NIDS) in the Cloud infrastructure. We use snort and decision tree (DT) classifier to implement this framework. It aims to detect network attacks in Cloud by monitoring network traffic, while maintaining performance and service ...

A survey on security issues and solutions at different layers of Cloud computing

The Journal of …, Jan 1, 2012

Abstract Cloud computing offers scalable on-demand services to consumers with greater flexibility... more Abstract Cloud computing offers scalable on-demand services to consumers with greater flexibility and lesser infrastructure investment. Since Cloud services are delivered using classical network protocols and formats over the Internet, implicit vulnerabilities existing in these protocols as well as threats introduced by newer architectures raise many security and privacy concerns. In this paper, we survey the factors affecting Cloud computing adoption, vulnerabilities and attacks, and identify relevant solution directives to strengthen security ...

A survey of intrusion detection techniques in Cloud

Journal of Network and …, Jan 1, 2012

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Maintaining privacy and data quality in privacy preserving association rule mining

Computing Communication and …, Jan 1, 2010

Page 1. 2010 Second International conference on Computing, Communication and Networking Technolog... more

Elliptic Curve Cryptography Based Mining of Privacy Preserving Association Rules in Unsecured Distributed Environment

… of the 2010 International Conference on …, Jan 1, 2010

Distributed data mining techniques are often used for various applications. In terms of privacy a... more Distributed data mining techniques are often used for various applications. In terms of privacy and security issues, these techniques are recently investigated with a conclusion that they reveal data or information to each other parties involved to find global valid results. But because of privacy issues, involving parties do not want to reveal such type of data. Recently many cryptography techniques have been found to address privacy problems in distributed mining. In this paper, we propose an elliptic curve cryptography based algorithm to mine privacy-preserving association rules on horizontal partitioned data. Moreover, we have also considered unsecured communication channels in distributed environment. Proposed algorithm provides privacy and security against involving parties and other parties (adversaries) who can reveal information by reading unsecured channel between involving parties. Finally, we analyze the privacy and security provided by proposed algorithm and also discuss the communication and computation cost of proposed algorithm.

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An Efficient Approach for Preventing Disclosure of Sensitive Association Rules in Databases

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A Survey on Preserving Privacy for Sensitive Association Rules in Databases

Information Processing and Management, Jan 1, 2010

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An Efficient Solution for Privacy Preserving Association Rule Mining

International Journal

Abstract: The recent advances of data mining techniques played an important role in many areas fo... more Abstract: The recent advances of data mining techniques played an important role in many areas for various applications. However the misuse of these techniques may disclose the private or sensitive information which database owners do not want reveal to others. To preserve privacy for sensitive association rules in statistical databases, many approaches have been found. In this paper, we propose two heuristic blocking based algorithms named ISARC (Increase Support of common Antecedent of Rule Clusters) and DSCRC ( ...

Bayesian Classifier and Snort based network intrusion detection system in cloud computing