Informatics Publishing Limited

B. Suganya ¹, R. Vaishnavi ²

Affiliations
1 A.S.L Pauls College of Engineering & Technology, Coimbatore, Tamil Nadu, IN
2 Ranganathan Engineering College, Coimbatore, Tamil Nadu, IN

Abstract

Today the Internet is now becoming a part of our everyone lives. Many services, including Emails, Search engine, and web board on Internet, are provided with free of charge and unintentionally turns them into vulnerability services. Many software robots or, in short term, bots are developed with purpose to use such services illegally and automatically. Thus, web sites employ human authentication mechanism called Completely Automated Public Turing test to tell Computers and Human Apart (CAPTCHA) to counter this attack. Nowadays sending spam’s has turned to be a major problem in the Internet. So the spam's are also born on the mobile phones as the form of SMS (Short Message Service) spam's and Email Spam. In this paper a new method is proposed for filtering SMS spam's using CAPTCHA systems. In our existing method 3D CAPTCHA are used. In our proposed method first, the picture of an object is sent as an SMS picture message, second the CAPTCHA characters are rotated in anti-clockwise and clockwise directions with fuzzy words.

Keywords

Bots, Spam, CAPTCHA, 3d Characters, Rotating With Directions, Fuzzy.

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B. Suganya ¹, R. Vaishnavi ²

Affiliations
1 A.S.L Pauls College of Engineering & Technology, Coimbatore, Tamil Nadu, IN
2 Ranganathan Engineering College, Coimbatore, Tamil Nadu, IN

Abstract

A worm is a malicious self-replicating programs, it is designed to spread via computer networks. Computer worms are one form of malware along with viruses and Trojans. Active worms pose major security threats to the Internet. This is the ability of active worms to continuously propagate in the computers on the Internet as an automated fashion. Active worms evolve during their propagation, and thus, pose great challenges to defend against them. In this paper, we investigate a new class of active worms, referred to as Camouflaging Worm (C-Worm in short). The C-Worm is different from traditional worms because of its ability to intelligently manipulate its scan traffic volume over time. Thereby, the C-Worm camouflages its propagation from existing worm detection systems based on analyzing the propagation traffic generated by worms. We analyze characteristics of the C-Worm and conduct a comprehensive comparison between its traffic and non-worm traffic (background traffic). We observe that these two types of traffic are barely distinguishable in the time domain. However, their distinction is clear in the frequency domain, due to the recurring manipulative nature of the C-Worm. Motivated by our observations, we design a novel spectrum-based scheme to detect the C-Worm. Our scheme uses the Power Spectral Density (PSD) distribution of the scan traffic volume and its corresponding Spectral Flatness Measure (SFM) to distinguish the C-Worm traffic from background traffic. Using a comprehensive set of detection metrics and real-world traces as background traffic, we conduct extensive performance evaluations on our proposed spectrum-based detection scheme. The performance data clearly demonstrates that our scheme can effectively detect the C-Worm propagation. Furthermore, we show the generality of our spectrum-based scheme in effectively detecting not only the C-Worm, but traditional worms as well.

Keywords

PSD, SFM, Worm, Malware.

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S. Kamalaveni ¹, B. Suganya ¹

Affiliations
1 Department of Commerce, Dr. N.G.P Arts and Science College (Autonomous), Coimbatore, IN

Abstract

Work life balance is defined as the integration between the work and life and not interfering with each other. Most of the women are working to support their family. The biggest challenges of women are how to balance their family and work. In this study, this paper reveals the various problems faced by the women employees and their satisfaction in their work. This article provides the information regarding the separate policy framed by the organization to balance the women employee work life.

Keywords

Work-Life Balance, Women Employees and Garment Sectors.

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