Advanced Design Architecture for Network Intrusion Detection using Data Mining and Network Performance Exploration

The primary goal of an Intrusion Detection System (IDS) is to identify intruders and differentiate anomalous network activity from normal one. Intrusion detection has become a significant component of network security administration due to the enormous number of attacks persistently threaten our computer networks and systems. Traditional Network IDS are limited and do not provide a comprehensive solution for these serious problems which are causing the many types security breaches and IT service impacts. They search for potential malicious abnormal activities on the network traffics; they sometimes succeed to find true network attacks and anomalies (true positive). However, in many cases, systems fail to detect malicious network behaviors (false negative) or they fire alarms when nothing wrong in the network (false positive). In accumulation, they also require extensive and meticulous manual processing and interference. Hence applying Data Mining (DM) techniques on the network traffic data is a potential solution that helps in design and develops better efficient intrusion detection systems. Data mining methods have been used build automatic intrusion detection systems. The central idea is to utilize auditing programs to extract set of features that describe each network connection or session, and apply data mining programs to learn that capture intrusive and non-intrusive behavior. In addition, Network Performance Analysis (NPA) is also an effective methodology to be applied for intrusion detection. In this research paper, we discuss DM and NPA Techniques for network intrusion detection and propose that an integration of both approaches have the potential to detect intrusions in networks more effectively and increases accuracy

Hybrid Swarm Intelligence Method for Post Clustering Content Based Image Retrieval

AbstractContent Based Image Retrieval is one of the most promising method for image retrieval where searching and retrieving images from large scale image database is a critical task. In Content Based Image Retrieval many visual feature like color, shape, and texture are extracted in order to match query image with stored database images. Matching the query image with each image of large scale database results in large number of disc scans which in turns slows down the systems performance.The proposed work suggested an approach for post clustering Content Based Image Retrieval, in which the database images are clustered into optimized clusters for further retrieval process. Various clustering algorithms are implemented and results are compared. Among all, it is found that hybrid ACPSO algorithm performs better over basic algorithms like k-means, ACO, PSO etc. Hybrid ACPSO has the capability to produce good cluster initialization and form global clustering.This paper discusses work-in-progress where we have implemented till clustering module and intermediate results are produced. These resulted clusters will further be used for effective Content Based Image Retrieval

Hydrogen production using waste aluminium dross: from industrial waste to next-generation fuel

ArticleThis article describes the production of hydrogen from white aluminium dross, an industrial waste generated in the aluminium smelter plants. Hydrogen is generated by metal-water reaction between aluminium and water in presence of alkalis like sodium hydroxide and potassium hydroxide. Aluminium dross is described as a heterogeneous material with its major constituents being metallic aluminium, alumina and other salt fluxes like NaCl and KCl. Utilizing the metallic aluminium content entrapped in the matrix of alumina for the metal-water reaction has been the driving force for the waste recycling and simultaneous hydrogen production. Bulk aluminium dross was crushed and downsized. The finer fraction of the powdered aluminium dross is used for the experiments. The effects of dross in the alkaline solution, temperature of the solution and the time of the reaction were studied to understand the generation of hydrogen. The alkaline solution breaks the protective layer of alumina and exposes the entrapped aluminium content to water, thereby commencing the hydrogen liberation

Role of Threaded Tool Pin Profile and Rotational Speed on Generation of Defect Free Friction Stir AA 2014 Aluminium Alloy Welds

Influence of threads on tool pin and rotational speeds on defect occurrence in friction stir welding (FSW) of aluminum alloy AA 2014 T6 plates has been studied. The effect of FSW forces on the evolution of mechanistic defects, caused in turn through a variation in heat generation during the process has also been examined. In case of conical tool pin, relatively lower rotational speeds resulted in unbounded zones and micro defects while high speeds caused excessive flash, thereby resulting in surface defects and voids inside the weld. The FSW joints were defect-free at moderate speeds, hinting an optimum heat generation and flow. Reaction forces on the tool pin, in the welding direction, were correlated with the defect formation. Tools equipped with a threaded conical pin profile resulted in sound welds, irrespective of the tool rotational speeds in the entire range of 400 rpm - 2400 rpm. The threaded conical pin, with a relatively larger frictional area, may be contributing to higher levels of heat generation compared to a plain conical pin. Further, positive displacement of the hot plasticised material by the threads will carry away excess heat from the advancing-to-the-retracting side and simultaneously downwards, thus confining all heat within the weld zone.

Clinical profile of Cholera cases in Yavatmal District, Maharashtra

Introduction- Outbreak of Cholera still remains major public health problem in most of the developing countries including India. Clinical profile of cholera was studied in Patients attending tertiary care hospital situated in tribal area of Central India, Yavatmal. Methods: Type of study- Descriptive cross-sectional. Study Duration - 2 months (June - July 2012). Study setting- Inpatient Department of S. V. N. Govt. Medical College, Yavatmal (Maharashtra). Study subjects- All cholera patients attending S. V. N. Govt. Medical College Yavatmal (Maharashtra) with the complaints of acute watery diarrhoea. Study variables- Detailed clinical profile of these cases was noted along with other relevant environmental history. Results-Out of a total 377 cases of acute watery diarrhoea, 13 isolates were positive for cholera. All the isolates were V. cholera 01 biotype El Tor serotype Ogawa.  46.2%   of cases were below 5 years of age, the two youngest children being 1.5 years old. Both the sexes were equally affected. 61.5% cases had duration of diarrhoea more than 24 hours. Overall living and hygienic conditions of all the patients were poor. However all patients responded to intravenous fluids, oral rehydration and antibiotics (Doxycycline) within 24-48 hours without any mortality. Interpretation & conclusions: This study reflects the cases infected with 01 El Tor Ogawa  with severe and critical clinical features in Yavatmal district causing high morbidity in the form of severe dehydration and peripheral circulatory collapse which requires early, correct diagnosis and prompt treatment