New Approach for Advanced Cooperative Learning Algorithms using RL Methods (ACLA)

Vidhate, Deepak A.; Kulkarni, Parag

doi:10.1145/2983402.2983411

Cited by 15 publications

(8 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Given the user trust level gðtiÞ and the subsystem trust level mðSk; tiÞ, the global trust level is computed again adopting the OR-rule from [2], this time with only two input values. Result is as follows [15]: Trust(t i )=1-(1-g(t i ))(1-m(s k ,t i )) =g(t i )+m(s k ,t i )-g(t i )m(s k ,t i ) =g(t i )+(1-g(t i ))m(s k ,t i ) Computation of session timeout -By solving for Ti, we finally obtain Equation (4), which allows the CASHMA service to dynamically compute the session timeout based on the current global trust level.…”

Section: G(t I )=mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Once the user's identity has been verified, the system resources are available for a fixed period of time or until explicit logout from the user. This approach is also susceptible for attack because the identity of the user is constant during the whole session [2] [3]. Suppose, here we consider this simple scenario: a user has already logged into a security-critical service, and then the user leaves the PC unattended in the work area for a while the user session is active, allowing impostors to impersonate the user and access strictly personal data.…”

Section: Introductionmentioning

confidence: 99%

“…Biometrics includes retinal scans, finger and handprint recognition, and face recognition, handwriting analysis, voice recognition and Keyboard biometrics. Also, parallel to the spreading usage of biometric systems, the incentive in their misuse is also growing, especially in the financial and banking sectors[1] [2].In fact, similarly to traditional authentication processes which rely on username and password with OTP verification, biometric user authentication is typically formulated as a single shot, providing user verification periodically during login time when one or more biometric traits may be required. Once the user's identity has been verified, the system resources are available for a fixed period of time or until explicit logout from the user.…”

mentioning

confidence: 99%

“…Finally, the use of biometric authentication allows credentials to be acquired transparently i.e. without explicitly notifying the user to enter data over and over, which provides guarantee of more security of system than traditional one [2][3] [4]. …”

mentioning

confidence: 99%

See 4 more Smart Citations

A Survey on User Identity Verification for Secure Login Session

Borude¹,

Chokhar²,

Bhosale³

et al. 2017

IJARCSSE

View full text Add to dashboard Cite

Abstract-In web applications, user authentication is normally based on username and password, come forth biometric solutions allow biometric data during session establishment. But in Unimodel biometric approaches only use a single verification is considered and the identity of the user is permanent during the entire session. A secure protocol is defined for constant authentication through continuous user verification. Biometric techniques suggest solution for secure, trusted and protected authentication. In between the logging session time, the one-time-password (OTP) is send on users registered email id and also randomly one questions will be asked to the user between the 5-10 mints. The user's identity has been verified, the system resources are available for fixed period of time and identity of the user is constant during entire session. The proposed system detects misuses of computer resources and prevents malicious activities based on multi-modal biometric continuous authentication. Biometric and user information's are stored in smart phones and web services. Keywords-Authentication, Security, Mobile environments, web servers I. INTRODUCTIONIn this technology era security of web-based applications is a serious concern, due to the recent increase in the frequency and complexity of cyber-attacks, biometric techniques offer emerging solution for secure and trusted user identity verification, where username and password are replaced by bio-metric traits, Gmail OTP verification and users personal information. Biometrics is the science and technology of determining identity based on physiological and behavioural traits. Biometrics includes retinal scans, finger and handprint recognition, and face recognition, handwriting analysis, voice recognition and Keyboard biometrics. Also, parallel to the spreading usage of biometric systems, the incentive in their misuse is also growing, especially in the financial and banking sectors[1] [2].In fact, similarly to traditional authentication processes which rely on username and password with OTP verification, biometric user authentication is typically formulated as a single shot, providing user verification periodically during login time when one or more biometric traits may be required. Once the user's identity has been verified, the system resources are available for a fixed period of time or until explicit logout from the user. This approach is also susceptible for attack because the identity of the user is constant during the whole session[2] [3]. Suppose, here we consider this simple scenario: a user has already logged into a security-critical service, and then the user leaves the PC unattended in the work area for a while the user session is active, allowing impostors to impersonate the user and access strictly personal data. In these scenarios, the services where the users are authenticated can be misused easily. The basic solution for this is to use very short session timeouts and request the user to input his login data again and again, but this is not a satisfactor...

show abstract

Section: G(t I )=mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%