Adding persuasive features in graphical password to increase the capacity of KBAM

Yadav, Uma; Mohod, P. S.

doi:10.1109/ice-ccn.2013.6528553

Cited by 9 publications

(4 citation statements)

References 7 publications

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“…17 Figure 2 shows the tremendous growth of depression detection from text, audio, and video. Practical problems of implementing such a method, such as the handling of private data, could become a problem if not treated correctly, but there are solutions; encryption, password authentication, 18 or even an authorizing protocol could be used to control access to sensitive personal data.…”

Section: Automatic Depression Detection Investigationmentioning

confidence: 99%

Review of automated depression detection: Social posts, audio and video, open challenges and future direction

Yadav

Sharma

Patil

2022

Concurrency and Computation

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Depression is the primary cause of illness and injury in the country, with over 280 million people suffering from it as per the 2021 survey. Depression is one of the most common psychiatric illnesses in the world, affecting millions of people. Early detection of major depression symptoms and treatment with timely intervention can help to prevent the emergence of major depression. This has generated the need for some novel techniques to be utilized for depression detection to help doctors in diagnosing and treating depression effectively. Depression can be investigated through online posts, audio files, facial expressions, as well as through video files. In this regard, the research presents a detailed survey of the existing machine learning methods in depression detection, along with the different datasets available. The research explores automated depression detection strategies and the various ways to detect depression from text, audio, and video, and even examines the various systems and procedures for detecting depression using various criteria. More than 140 related research articles were considered for this review, with 80 of them being processed for comparative analysis based on various key performance indicators. The classifications of various methods used to detect stress, anxiety, and depression are highlighted followed by open research challenges and issues while analyzing depression techniques.

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Section: Automatic Depression Detection Investigationmentioning

confidence: 99%

Review of automated depression detection: Social posts, audio and video, open challenges and future direction

Yadav

Sharma

Patil

2022

Concurrency and Computation

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“…Thus, the chance of guessing the correct viewport is miniscule. The viewport size is calculated considering the length of an arm (60 cm) (Yadav and Mohod, 2013).…”

Section: Registration Form 411 Division Of Images Into Blocksmentioning

confidence: 99%

Performance analysis and evaluation of secure password persuasive cued click points

Nayak¹,

Bansode²

2016

IJPCC

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Purpose The purpose of this paper is to increase security using persuasive cued click points (PCCP) techniques and to make a system to provide security from the malware, key loggers and attacks. Design/methodology/approach The work methodology comprises two major phases. In phase one, the PCCP take place with the registration and login process done. It also includes text-based password which hides the character of password to protect from shoulder surfing attack. In phase two, the work includes background services which protect from key loggers. Findings Secure password persuasive cued click point (SPPCCP) is a module that facilitates authentication for the desktop-based applications and provides a single-machine licensing functionality. SPPCCP comprises little functionality to thwart attackers, such as persuasive click points with password protection. The techniques to protect against malware such as resist from debuggers and also to the key loggers that run on desktop computers. In this, Spearman rank correlation is used for detection of key loggers. There are functionalities used to secure desktop applications such as time constraint and user selection. Originality/value The contribution of this paper is to provide knowledge in the field of security. It makes the graphical password more secure and useful. The intention behind this research was to increase the security level up to 60-80 per cent. It is also used for prevention of shoulder surfing problem till 80 per cent; this research is also operated on key loggers, and SPPCCP finds the key loggers and removes it from the system. It also decrypts the data of database by encrypting it by SHA-512 algorithm and reduces the average login time up to 20-30 per cent; it will make a smaller view port of 33.5 × 33.5 pixel square to have more choice to select the password, thereby decreasing the probability of hotspot area up to 18-20 per cent.

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“…Depending upon whether the main aim is to predict the existence or severity of depression, previous automatic evaluation methods generally used classification or regression models. This paper has two primary objectives: first, we want to see if text characteristics can achieve similar results as multi‐modal techniques, and second, we want to know why the model generates particular predictions 12 . The main contributions of this research are: The multi‐task model design combines detecting the presence of depression with predicting the severity. Replacing data‐based word embeddings with pre‐trained text embeddings. Providing interpretations on which words or sentences stimulate the model to think that a person is suffering from depression 13 …”

Section: Introductionmentioning

confidence: 99%

“…This paper has two primary objectives: first, we want to see if text characteristics can achieve similar results as multi-modal techniques, and second, we want to know why the model generates particular predictions. 12 The main contributions of this research are: a. The multi-task model design combines detecting the presence of depression with predicting the severity.…”

Section: Introductionmentioning

confidence: 99%

A novel automated depression detection technique using text transcript

Yadav

Sharma

2022

Int J Imaging Syst Tech

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Adding persuasive features in graphical password to increase the capacity of KBAM

Cited by 9 publications

References 7 publications

Review of automated depression detection: Social posts, audio and video, open challenges and future direction

Review of automated depression detection: Social posts, audio and video, open challenges and future direction

Performance analysis and evaluation of secure password persuasive cued click points

A novel automated depression detection technique using text transcript

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