International Journal of Network Security & Its Applications (IJNSA)
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This document contains summaries of multiple papers on topics related to network and information security. The papers discuss intrusion detection systems using genetic algorithms and the KDD99 dataset, security risks of cloud computing implementations in enterprises, security challenges and solutions for vehicular ad hoc networks, and security issues and potential solutions for cloud computing, big data, Hadoop and MapReduce environments. The document provides links to the full papers and cites the number of times each paper has been referenced by other works.
International Journal of Network Security & Its Applications (IJNSA)
- 1. ISSN 0974 - 9330 (Online); 0975 - 2307 (Print) e-mail ijnsa@airccse.org ERA Listed Journal
- 3. Cited by 288 Nowadays it is very important to maintain a high level security to ensure safe and trusted communication of information between various organizations. But secured data communication over internet and any other network is always under threat of intrusions and misuses. So Intrusion Detection Systems have become a needful component in terms of computer and network security. This approach uses evolution theory to information evolution in order to filter the traffic data and thus reduce the complexity. To implement and measure the performance of our system we used the KDD99 benchmark dataset and obtained reasonable detection rate. Computer & Network Security, Intrusion Detection, Intrusion Detection System, Genetic Algorithm, KDD Cup 1999 Dataset. http://airccse.org/journal/nsa/0312nsa08.pdf AIRCC Publication
- 4. Cited by 244 Deploying cloud computing in an enterprise infrastructure bring significant security concerns. Successful implementation of cloud computing in an enterprise requires proper planning and understanding of emerging risks, threats, vulnerabilities, and possible countermeasures. We believe enterprise should analyze the company/organization security risks, threats, and available countermeasures before adopting this technology. In this paper, we have discussed security risks and concerns in cloud computing and enlightened steps that an enterprise can take to reduce security risks and protect their resources. We have also explained cloud computing strengths/benefits, weaknesses, and applicable areas in information risk management. http://airccse.org/journal/nsa/0111jnsa03.pdf AIRCC Publication
- 5. AIRCC Publication Cited by 170 Vehicular Ad hoc Networks (VANETs) are the promising approach to provide safety and other applications to the drivers as well as passengers. It becomes a key component of the intelligent transport system. A lot of works have been done towards it but security in VANET got less attention In this article, we have discussed about the VANET and its technical and security challenges. We have also discussed some major attacks and solutions that can be implemented against these attacks. VANET, VANET architecture, ARAN, SEAD, SMT, NDM, ARIADNE http://airccse.org/journal/nsa/5513nsa08.pdf
- 6. Cited by 151 Cloud computing has formed the conceptual and infrastructural basis for tomorrow’s computing. The global computing infrastructure is rapidly moving towards cloud based architecture. While it is important to take advantages of could based computing by means of deploying it in diversified sectors, the security aspects in a cloud based computing environment remains at the core of interest. If security is not robust and consistent, the flexibility and advantages that cloud computing has to offer will have little credibility. This paper presents a review on the cloud computing concepts as well as security issues inherent within the context of cloud computing and cloud infrastructure. http://airccse.org/journal/nsa/6114nsa03.pdf AIRCC Publication Cloud computing, cloud service, cloud security, computer network, distributed computing, security.
- 7. Cited by 149 The main function of IDS (Intrusion Detection System) is to protect the system, analyze and predict the behaviors of users. Then these behaviors will be considered an attack or a normal behavior. Though IDS has been developed for many years, the large number of return alert messages makes managers maintain system inefficiently. In this paper, we use RST (Rough Set Theory) and SVM (Support Vector Machine) to detect intrusions. First, RST is used to preprocess the data and reduce the dimensions. Next, the features were selected by RST will be sent to SVM model to learn and test respectively. The method is effective to decrease the space density of data. The experiments will compare the results with different methods and show RST and SVM schema could improve the false positive rate and accuracy. http://airccse.org/journal/nsa/0409s1.pdf AIRCC Publication Rough Set; Support Vector Machine; Intrusion Detection System; Attack Detection Rate;
- 8. Cited by 145 The proposed algorithm also addresses some difficulties of data mining such as handling continuous attribute, dealing with missing attribute values, and reducing noise in training data. Due to the large volumes of security audit data as well as the complex and dynamic properties of intrusion behaviours, several data mining based intrusion detection techniques have been applied to network-based traffic data and host-based data in the last decades The experimental results prove that the proposed algorithm achieved high detection rates (DR) and significant reduce false positives (FP) for different types of network intrusions using limited computational resources. http://airccse.org/journal/nsa/0410ijnsa2.pdf AIRCC Publication Decision Tree, Detection Rate, False Positive, Naive Bayesian classifier, Network Intrusion Detection
- 9. Cited by 136 In this paper, we discuss security issues for cloud computing, Big data, Map Reduce and Hadoop environment. The main focus is on security issues in cloud computing that are associated with big data. Big data applications are a great benefit to organizations, business, companies and many large scale and small scale industries.We also discuss various possible solutions for the issues in cloud computing security and Hadoop. cloud computing, big data and its applications, advantages are likely to represent the most promising new frontiers in science. http://airccse.org/journal/nsa/6314nsa04.pdf AIRCC Publication Cloud Computing, Big Data, Hadoop,Map Reduce, HDFS (Hadoop Distributed File System)
- 10. Cited by 134 Log files contain information about User Name, IP Address, Time Stamp, Access Request, number of Bytes Transferred, Result Status, URL that Referred and User Agent. The log files are maintained by the web servers. By analysing these log files gives a neat idea about the user. This paper gives a detailed discussion about these log files, their formats, their creation, access procedures, their uses, various algorithms used and the additional arameters that can be used in the log files which in turn gives way toan effective mining. It also provides the idea of creating an extended log file and learning the user behaviour. http://airccse.org/journal/nsa/0111jnsa07.pdf AIRCC Publication Web Log file, Web usage mining, Web servers, Log data, Log Level directive.
- 11. e-mail ijnsa@airccse.org Network and Wireless Network Security Mobile, Ad Hoc and Sensor Network Security Peer-to-Peer Network Security Database and System Security Intrusion Detection and Prevention Internet Security & Applications Security & Network Management E-mail security, Spam, Phishing, E-mail fraud Virus, worms, Trojan Protection Security threats & countermeasures (DDoS, MiM, Session Hijacking, Replay attack etc,) Ubiquitous Computing Security Web 2.0 security Cryptographic protocols Performance Evaluations of Protocols & Security Application
- 12. For More Details send Mail ijnsa@airccse.org Web Page Link : http://airccse.org/journal/ijnsa.html Month of Issue January, March, May, July, September, November
- 13. Authors are invited to submit papers for this journal through Submission System. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal.
- 14. Quality Assessment of Access Security Controls over Financial Information http://aircconline.com/ijnsa/V11N6/11619ijnsa01.pdf