Speech controlled home mechanization framework  using android gadgets

Kavitha, M.; Manideep, Y; Krishna, M. V. Rama; Prabhuram, P

doi:10.14419/ijet.v7i1.1.10821

Cited by 6 publications

(3 citation statements)

References 5 publications

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“…They have taken DATAMALL datasets for the experiment and have demonstrated that this approach gives higher accuracy and classifies at greater speed. Nurul et al, [12] has done an analysis on Naive Bayes Classifier across different Datasets. The authors have incorporated SPAMBASE and Spam Data for their experiment using WEKA tool.…”

Section: Literature Surveymentioning

confidence: 99%

An Efficient Email Spam Detection using Support Vector Machine

Prasanthi*¹,

Deepika²,

Anudeep³

et al. 2019

IJITEE

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This research paper proposes the electronics mail is small known as E-mail is used for communication between the people to person. E mail is providing as an necessary contribution for messaging by internet. Spam e mails are the unwanted messages that arise in high volume and are used by spammers for revealing users personal credentials. These e mails are regularly some sort of company/control announcement or viruses that the user receive without any notification. So as to defeat it, there need aid exactly existing frameworks that still don't keep them from striking. Therefore, there is a require should manufacture and proficient framework that adequately detects and more keeps the spam messages In those server utilizing the Naïve bayes classifier. Naïve bayes classifier is a mainstream statistical classifier utilized fundamentally for content arrangement

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Section: Literature Surveymentioning

confidence: 99%

An Efficient Email Spam Detection using Support Vector Machine

Prasanthi*¹,

Deepika²,

Anudeep³

et al. 2019

IJITEE

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show abstract

“…Forensics now-a-days are enforcing its impact and need in many diverse areas like software affected during natural disasters [14], cloud applications where the third party storage kind of works related [16], medicine [17] [19] and other diverse application areas [15] [18][19] [20].…”

Section: Introductionmentioning

confidence: 99%

Automated Collection of Artifacts from a Live Windows System using e-Triage Tool

Kota¹

2020

IJATCSE

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The evolution of computers and technology is outpacing the effectiveness of forensic techniques. In traditional computer forensic methodology, when an organization is effected by a cyber-attack, the systems were plugged off at the scene which results in loss of acquiring volatile memory and further seized media are analyzed at forensic laboratories to get report. In the current work, a novel e-Triage tool is developed which extracts artifacts present within a defined live windows system. It yields on-site identification and interpretation of digital evidences in a short period of time. The e-Triage tool follows live forensic methodology and facilitates to extract and collect artifacts related to system information, registry, events and network information, Random Access Memory, browsing history, shell bag, page file, hibernation file, swap file and also records the changes done by tool on registry whose novelty improves the forensic report. The current proposed e-Triage tool carries out prioritizing and collecting artifacts in preliminary investigation until a potential source is being identified and from then it accelerates further investigation.

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“…So, by using this kind of approach we can avoid the attack which is performed by remembering the spatial course of action of the keypad digits. Some existed security mechanisms and frameworks of various applications we studied in [11]- [14]. The sentiment analysis, data management and processing algorithms are discussed by several authors are studied from [18]- [20] papers.…”

Section: Introductionmentioning

confidence: 99%

Shuffled Illusion PIN Framework to Prevent Shoulder – Surfing

2019

IJRTE

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Shoulder surfing is a kind of technique applied to sneak the personal data like passwords and some confidential data of the user. For this type of attacks there is no need of any kind of technical knowledge but just a keen observation towards the user performance is necessary. However, secret gadgets made these shoulder surfing easy for the attackers like cc cams. To overcome these attacks some authentication schemes are proposed- Illusion pin that works on digital display. It applies the method of hybrid pictures with 2 keypads blended one keypad with another, it is designed by using the human visibility and quotes the least distance at which an attacker is incapable to understand the buttons. We developed an innovative shuffling algorithm for shuffling the keys for every single pin entry. Using this Shuffling algorithm, we create a new pattern of the keypad for every exclusive entry of the pin. Through this technique the attacker is unable to track the pin even if he remembers the spatial arrangement of the digits in a keypad. To provide more security we are adding one-time password generating (OTP) technique.

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Speech controlled home mechanization framework using android gadgets

Cited by 6 publications

References 5 publications

An Efficient Email Spam Detection using Support Vector Machine

An Efficient Email Spam Detection using Support Vector Machine

Automated Collection of Artifacts from a Live Windows System using e-Triage Tool

Shuffled Illusion PIN Framework to Prevent Shoulder – Surfing

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