A Survey of Email Spam Filtering Methods

E-mail is one of the most secure medium for online communication and transferring data or messages through the web. An overgrowing increase in popularity, the number of unsolicited data has also increased rapidly. To filtering data, different approaches exist which automatically detect and remove these untenable messages. There are several numbers of email spam filtering technique such as Knowledge-based technique, Clustering techniques, Learning based technique, Heuristic processes and so on. This paper illustrates a survey of different existing email spam filtering system regarding Machine Learning Technique (MLT) such as Naive Bayes, SVM, K-Nearest Neighbor, Bayes Additive Regression, KNN Tree, and rules. However, here we present the classification, evaluation and comparison of different email spam filtering system Keywords: e-mail spam, spam filtering methods, machine learning technique, classification, SVM, AN

Rabindranath Tagore’s Religious Ideology: A Study of Nationalistic Liberalism in Gora

Being an emblem of faith and conviction and one of the earliest institutions of mankind, Religion as a universal social phenomenon is the most powerful means of controlling society. Individual perception of respective religion makes it an ‘institutional religion’ that further becomes a mode of sociological tool rather than being a spiritual one leading to debates and deliberations. Keeping in cue with the face of continuing debate about the concept of religion, the aim of the present research lies in the study and documentation of the concept of religion and how the institutional religion plays a key role in Tagore’s Gora. The study is basically explanatory and descriptive in nature. Through Gora, Tagore in his work enunciates his developing philosophy about Hinduism. The research highlights how the notion of dialectics and its visibility in the novel evolves a kind of ‘universalism’ that has eventually become Tagore’s legacy

A Novel Way of Assessing Software Bug Severity Using Dictionary of Critical Terms

AbstractDue to increase in demands of software and decreased delivery span of software, assuring the quality of software is becoming a challenge. However, no software can claim to be error free due to the complexity of software and inadequate testing. There is a well-known principle of testing, which states that exhaustive testing is impossible. Hence, maintenance activities are required to ensure smooth functioning of the software. Many open source software provides bug tracking systems to aid corrective maintenance task. These bug tracking systems allow users to report the bugs that are encountered while operating the software. However, in software maintenance, severity prediction has gained much attention recently. Bugs having higher severity should be fixed prior to the bugs having lesser severity. Triager analyzes the bug reports and assesses the severity based upon his/her knowledge and experience. But due to the presence of a large number of bug reports, it becomes a tedious job to manually assign severity. Thus, there is growing need for making the whole process of severity prediction automatic. The paper presents an approach of creating a dictionary of critical terms specifying severity using two different feature selection methods, namely- info gain and Chi square and classification of bug reports are performed using Naïve Bayes Multinomial (NBM) and K-nearest neighbor (KNN) algorithms

A Survey on Attacks and Preservation Analysis of IDS in Vanet

Vehicular Ad-hoc Networks (VANETs) are the extremely famous enabling network expertise for Smart Transportation Systems. VANETs serve numerous pioneering impressive operations and prospects although transportation preservation and facilitation functions are their basic drivers. Numerous preservation allied VANETs functions are immediate and task imperative, which would entail meticulous assurance of preservation and authenticity. Yet non preservation associated multimedia operations, which would assist an imperative task in the future, would entail preservation assistance. Short of such preservation and secrecy in VANETs is one of the fundamental barriers to the extensive extended implementations of it. An anxious and untrustworthy VANET could be more hazardous than the structure without VANET assistance. So it is imperative to build specific that “life-critical preservation” data is protected adequate to rely on. Securing the VANETs including proper shield of the secrecy drivers or vehicle possessors is an extremely challenging assignment. In this research paper we review the assaults, equivalent preservation entails and objections in VANETs. We as well present the enormously admired common preservation guidelines which are based on avoidance as well recognition methods. Many VANETs operations entail system wide preservation support rather than individual layer from the VANETs’ protocol heap. This paper will also appraise the existing researches in the perception of holistic method of protection. Finally, we serve some potential future trends to attain system-wide preservation with secrecy pleasant preservation in VANETs. Keywords: VANET (Vehicular Ad-hoc Network), Routing algorithm, Vehicle preservation, IDS, attack, Secrec

The Modified Secure AODV Routing Protocol for Black Hole Attack in Manet

Mobile Adhoc Network is gathering of portable nodes which are actively structuring a momentary network without utilizing any pre accessible network infrastructure or central management. Each node in MANET not only provides as a specific terminal but also performs as a router to form a route. While a source node plans to send data to an intended node, packets are moved from the middle nodes. An Adhoc routing protocol is a classical method that supervises how nodes opt any route and in which manner they have to route packets among computing devices in a MANET. Because of different factors with lack of infrastructure, deficiency of already established trust relationship among the various nodes and dynamic topology, the MANET routing protocols are weak to different routing attacks. In contrast to conventional wired networks, such type attacks are executed simply in MANET because of the unsupervised entrance to the wireless medium. The malicious exploitation of various routing information results in the diffusion of wrong routing information which could eventually guide to network failure. One of these attacks in the existing wireless routing protocol like Ad-hoc on demand Distance Vector (AODV) Routing protocol is the Black Hole Attack against network truthfulness. In this attack, the data packets doesn’t arrive at the destination node, thus data loss happens. There is number of detection and protection methods to reduce the intruder that achieve the black hole attack. Therefore, this paper proposes Modified Secure AODV routing protocols (MSAODV) found on threshold evaluation and cryptographic verification. In this paper, the black hole attack and the proposed MSAODV protocols are simulated in the Network Simulator NS-2 under different MANET circumstances and their performances are evaluated on various parameters like Packet drop ratio, routing overload, throughput etc. Keywords: AODV, Black hole, gray hole, worm hole attack, MANET, AOMD

Aspect Level Sentiment Analysis using Machine Learning Approach: A Comprehensive Review

Sentimental analysis is now used from product marketing specific to the detection of social behavior. Progress on Facebook, Twitter, Youtube and other microblogging and social networking sites has not only contributed to a change in social sites, but also to the way we use these sites and the way we do it. People are fundamentally changing their feelings and their points of view with the general public. In this paper a detailed study of different approaches for lexicon-based sentiment analysis are discussed. This paper also shows that efficiency of machine learning over traditional lexicon based sentiment analysis