Volume-7 , Issue-4 , Apr - 2019 Go Back

In many research areas it’s always found that it is very difficult to cluster the databases which come under the close region of clusters. When the database has a unique cluster then it is faster to make the cluster in lesser times but when it is coming to closer region of two or more clusters then the time taken for the clustering is high and need to be clustered very carefully by examining each attributes. In this paper clustering is done using the partitioning method and complex regions are selected which are closed to two or more cluster and this selected database is again carefully examined by each of the attribute and then finally clustered to produce more accuracy than the partitioning method.

Boundary region analysis, Precision Clusters, Share market database, Large database, Reduced Dataset, Attribute Selection, etc

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M. Aruna, S. Sugumaran, V. Srinivasan, "Precision Clustering Based on Boundary Region Analysis for Share Market Database," International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.113-118, 2019.

Big Data is field that get ways examine, efficiently extricate data from, or generally manage informational index that are excessively vast or complex. There are along discussion and exchange on the utilization of huge information for the change of customary open organization to current and keen open organization in the academician, scientists and strategy producers. Writing demonstrates that various models have been created to clarify shrewd administration nut deliberate research on the reasonableness and pertinence huge information for savvy administration of open offices is as yet missing for information security. The discoveries recommend that each open part office ought to be brought under shrewd administration which ought to be a completely advanced under huge information advances for simple access, straightforward and responsible ,and bother free open offices yet absence of security for the information. In proposed successful administration has a huge job in convenient ,mistake free, proper, and savvy administration conveyance to natives which prompts the reasonable monetary advancement of a nation and which ought to be a completely advanced under enormous information innovations for simple access ,straightforward and responsible and bother free open offices by utilizing MapReduce calculation. Essentially giving security of information utilizing a few calculations like encryption and decoding on information .In this proposed framework information will be encoded while putting away into the dataset. At the point when client looking through the, information will be encode and decode and show for client .For encryption and unscrambling we are utilizing ECC calculation. We are sending details to client by means of email.

Hadoop, Big data, MapReduce, Security. Encryption, ECC

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Rashmi G.B, Malatesh S.H, "Effective Governance through Big Data: Computerized Revolution of Open Agencies," International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.119-127, 2019.

The medical industry has proceeded into the digital age thanks to the development of science and technology. Medicinal pictures which are utilized in their digital form play an important role in every modern hospital. This significant contribution is especially visible in the field of diagnosis and in the treatment of patients. The problem, however, may arise during the application of these digital data. Digital images are linked to image transmission and sharing, which bring about concerns regarding data security. The Digital Image and Communication on Medicine (DICOM) standard was created so as to encourage protected and reliable transmissions and communications. In this paper it has been surveyed about various encryption techniques that can be used for secure transmission of medical images through non-secure medium along with its advantages and disadvantages.

Encryption, Medical images, DICOM, Key Sensitivity, Known Plaintext attack, Quaternion

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Garima Mathur, "A Survey on Medical Image Encryption," International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.128-133, 2019.

The network intrusion detection system is used to detect and analyze the network traffic and all possible network threats that may affect the system. When the threats are identified the network intrusion detection system immediately takes action such as alerting the administrator or blocking the source of ip address from accessing the network. Various research activities are already conducted to find a efficient and effective solution to prevent intrusions in the network in order to ensure the network security and privacy .machine learning is the one of the efficient and effective techniques to detect network intrusion. Due to high traffic flow, the traditional signature based intrusion detection system is inefficient one to detect anomalies the machine learning techniques is the solution for this. In this paper a combination of two machine learning algorithm is proposed to classify any anomalous behavior in the network traffic. The overall efficiency of the proposed method is dignified recall. However using area under the Receiver operating curve (ROC) metric, we find that genetic algorithm is the best among the two algorithm proposed in this work.

Intrusion detection,Genetic Algorithm, Rbf algorithm, Roc metrics calculation

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Sayi Sruthi.k, Liston Deva Glinds, Saran Raj, "Network Intrusion Detection Using Genitic Algorithm: A Comparision," International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.134-136, 2019.

the aim this paper to detect similar and dissimilar patterns of different Apatani dialects through extraction of relevant acoustic parameters such as pitch, formant analysis, Cepstral analysis. Considering all the linguistic and non linguistic features of the languages, it is expected that the study reveal some hidden characteristics of the languages which would strongly advocate its identity and uniqueness with respect to other tribal language of Arunachal Pradesh.

Formant, Pitch, cepstral cofficients

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[9] Popi Sarmin Society’s book series

Marpe Sora, Tage Yasing, "Dialect detection of Apatani language of Arunachal Pradesh," International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.137-139, 2019.

The aim of this study to find out some mechanical properties of iron ore in Haji Gak iron ore mine in order to design the optimal blasting parameters during mining activities. Totally 10 boulder surface samples of iron ore with more than 40kg weight were collected in 8 stations of different coordinates and altitudes limited between 3437.2 M till 3695 M above sea level. The Haji Gak iron mine reserve has estimated approximately 1.8 Billion tonnes iron ore with concentration of 67% of Fe and 96.15% of Fe2O3. The measurement of mechanical properties of iron ores were done with ASTM standard in high level technological and modern laboratory. The laboratory experiments reveal the uniaxial compressive strength value of collected ore sample 98.09 Mpa with elastic modules of 79.113 Mpa and 0.12 Poisson ratios in sample no. 18 shown the maximum amount of uniaxial compressive strength and Elastic modules. The point load test shown the maximum value of IS(50), 18.18 Mpa and 22.73 Mpa of uniaxial tensile strength in sample no.3. These parameters directly affected the blasting parameters, blasting pattern and explosive type in optimal mining activities. As this mine is not extracted yet, thus it is the first time to design the blasting pattern and parameters base on measured properties of rocks.

Uniaxial compressive strength, Point load strength, Young’s modulus, Piosson’s Ratio, Blasting Pattern

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ISBN: 978-0-12-811318-9. Doi.org/10.1016/C2016-0-01217-2.

Fatima Rezaye, Shivanna, "Studies on Uniaxial Compressive Strength, Uniaxial Tensile Strength, Young’s Modulus, Poisson’s Ratio of Iron Ore in relation their Influence in Optimum Rock Blasting Process…….Central Afghanistan," International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.140-151, 2019.

There are different analysis centers all around the world. These centers makes inferences that are beneficial to the society. From where did they get the data for doing such kind of analysis?. Is the data that is published for such kind of analysis is secure from privacy breach?. In America, different kind of records especially the medical records which contains disease information as a sensitive attribute are publishing publicly. This has to be taken as a serious issue. Taking into account these facts, different anonymization methods are developed. In this paper an approach that is different from all other approaches is proposed. The main concern is to manage background knowledge attack that most of the algorithms failed to heed. Although no algorithm is able to achieve 100 percent security without sacrificing information loss, a balance can be maintained between these two. This paper introduces an efficient method for handling the outlier tuples using a randomization algorithm.

Background knowledge attack, IGPL metric , Quasi- identifier, K- anonymity, Randomization, Taxonomy tree, Top down specialization

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Athiramol S, "A Privacy Preserving Anonymization Approach using Scalable Top Down Specialization and Randomization for Big Data Security," International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.152-156, 2019.

DDoS (Distributed Denial of service) attacks emerge as the most devastating attacks of all time for organizations and ISPs of all sizes. The increasing availability of DDoS-for-hire services and the proliferation of billions of Unsecured IoT devices and botnets contributed to a significant increase in DDoS attacks. These attacks continue to grow in magnitude, frequency, and sophistication. The legacy methods like signature-based detection and scrubbing are challenged, as attacks are growing smarter day by day and evading IDS. The next-generation security technologies also cannot keep pace with the scale of attacks targeting organizations. Even anomaly-based detection is suffering from many limitations with accuracy and false positives by demanding human intervention. This is our attempt to obviate manual analysis in anomaly-based DDoS detection by achieving perfect accuracy with zero misclassifications. In this paper, we demonstrated DDoS anomaly detection on the open CIC datasets using Stochastic Gradient Boosting (SGB) machine learning (ML) model. Using this ML model and by meticulously tuning hyperparameters, we achieved maximum accuracy and compared the results with other machine learning algorithms.

DDOS attacks, anomaly detection, machine learning, stochastic gradient boosting, scikit-learn, XGBOOST

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M Devendra Prasad, Prasanta Babu V, C Amarnath, "Machine Learning DDoS Detection Using Stochastic Gradient Boosting," International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.157-166, 2019.

Security for wireless devices is turning into vital day by day. When internet connection is available for mobile devices all the communication pass through some intermediates. The end to end security is the major issues in wireless security contrivances like mobile phone and PDA(Personal Digital Assistant).When mobile contrivance wants to communicate to the web server through internet the all the communication pass through the Wireless Application Protocol gateway. This Wireless Application gateway protocols interprets all the convention utilized in Wireless Application gateway to the protocols utilized in the cyber world. The Wireless Application Protocol proxy server use encoding and decoding technique for the content to reduce the size of the data that has been sent through the wireless link. The communication between the mobile phones and wireless application protocol is secured by utilizing the safety protocol is termed Wireless Transport layer security. The communication between the WAP entrance and net server is secured through the TLS/SSL security protocols. This paper presents an evaluation study of wireless and wired network utilizing OPNET simulation implement. This paper simulated 2 different scenarios comparing wireless mobile client communication utilizing Wireless Transport Layer Security gateway with MD5_RSA encryption and Firewall gateway TLS encryption utilizing MD5_RSA.The analysis results shows that how to provide the point to point security between wireless client to web server by proper utilizing the hybrid security protocol.

Opnet, Security, WAP, Gateway

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Kamini, Rajiv Mahajan, Ravinder Singh, "Improvement in Security Architecture for Hybrid Networks in Wireless and Wired Devices for End to End Security," International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.167-173, 2019.

online Social Network (OSN) is a network, where an individual can communicate with each other through their mobile phones or any social networking sites such as Facebook, twitter etc. The trust is useful in the online social network to enable the users to exchange their information securely. In OSN, the information might be misused by propagating wrong news virally through photos, videos, and audios. A user in social network may collect personal information of others and can launch different attacks. Hence it could draw the researchers focus in proposing trust related methods to provide secure environment in social network. In trust management, each user is observed and rated based on his activities. So that only trustworthy users sare only allowed to share to the activities. In this paper, the trust is defined in terms of social network terminology. Different trust computational methods are discussed in social network. All the recent methods are compared by studying their advantages and disadvantages.

Social Networks

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C.Kavitha, Nageswararao Sirisala, "Trust Computation in Online Social Networks," International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.174-178, 2019.