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Revisiting DefensesRevisiting Defenses
against Large-Scale Onlineagainst Large-Scale Online
Password GuessingPassword Guessing
AttacksAttacks
Team Members
V. Austin Paul
V.R. Kannan
V. Shanmugam Sundaram
Project Guide
BHARATH.E
Abstract
 Brute force and dictionary attacks on password-only remote login
services are now widespread and ever increasing. Enabling
convenient login for legitimate users while preventing such attacks
is a difficult problem. Automated Turing Tests (ATTs) continue to be
an effective, easy-to-deploy approach to identify automated
malicious login attempts with reasonable cost of inconvenience to
users. In this paper, we discuss the inadequacy of existing and
proposed login protocols designed to address large scale online
dictionary attacks (e.g., from a botnet of hundreds of thousands of
nodes). We propose a new Password Guessing Resistant Protocol
(PGRP), derived upon revisiting prior proposals designed to restrict
such attacks. While PGRP limits the total number of login attempts
from unknown remote hosts to as low as a single attempt per
username, legitimate users in most cases (e.g., when attempts are
made from known, frequently-used machines) can make several
failed login attempts before being challenged with an ATT. We
analyze the performance of PGRP with two real-world data sets and
find it more promising than existing proposals
Scope of The Project
 PGRP uses either cookies or IP addresses, or both for tracking
legitimate users.
 Tracking users through their IP addresses also allows PGRP to
increase the number of ATTs for password guessing attacks and
meanwhile to decrease the number of ATTs for legitimate login
attempts.
 Although NATs and web proxies may reduce the utility of IP address
Information, in practice, the use of IP addresses for client
identification appears feasible.
 In recent years, the trend of logging in to online accounts through
multiple personal devices (e.g., PCs, laptops, smart phones) is
growing.
 When used from a home environment, these devices often share a
single public IP address which make IP-based history tracking more
user friendly than cookies.
Existing System
The login protocols should make brute force and dictionary
attacks ineffective even for adversaries with access to large
botnets.
The protocol should not have significant impact on usability.
For example: for legitimate users, any additional steps
besides entering login credentials should be minimal.
increasing the security of the protocol must have minimal
effect in decreasing the login usability.
The protocol should be easy to deploy and scalable,
requiring minimum computational resources in terms of
memory, processing time and disk space.
Proposed System
• A List of {user name} pairs such that for each pair, a
successful login from the source IP address has been
initiated for the username.
• Each entry in this table represents the number of failed
login attempts for a valid username, UN.
• A maximum of K2 failed login attempts are recorded.
Accessing a nonexistent index returns 0.
• If the user machine is identified by a session, a
corresponding counter of the failed login attempts in the
session will be updated. In addition, the FS entry indexed
by the pair will also be incremented.
Revisiting defenses against large scale online password guessing attacks
Revisiting defenses against large scale online password guessing attacks

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Revisiting defenses against large scale online password guessing attacks

  • 1. Revisiting DefensesRevisiting Defenses against Large-Scale Onlineagainst Large-Scale Online Password GuessingPassword Guessing AttacksAttacks Team Members V. Austin Paul V.R. Kannan V. Shanmugam Sundaram Project Guide BHARATH.E
  • 2. Abstract  Brute force and dictionary attacks on password-only remote login services are now widespread and ever increasing. Enabling convenient login for legitimate users while preventing such attacks is a difficult problem. Automated Turing Tests (ATTs) continue to be an effective, easy-to-deploy approach to identify automated malicious login attempts with reasonable cost of inconvenience to users. In this paper, we discuss the inadequacy of existing and proposed login protocols designed to address large scale online dictionary attacks (e.g., from a botnet of hundreds of thousands of nodes). We propose a new Password Guessing Resistant Protocol (PGRP), derived upon revisiting prior proposals designed to restrict such attacks. While PGRP limits the total number of login attempts from unknown remote hosts to as low as a single attempt per username, legitimate users in most cases (e.g., when attempts are made from known, frequently-used machines) can make several failed login attempts before being challenged with an ATT. We analyze the performance of PGRP with two real-world data sets and find it more promising than existing proposals
  • 3. Scope of The Project  PGRP uses either cookies or IP addresses, or both for tracking legitimate users.  Tracking users through their IP addresses also allows PGRP to increase the number of ATTs for password guessing attacks and meanwhile to decrease the number of ATTs for legitimate login attempts.  Although NATs and web proxies may reduce the utility of IP address Information, in practice, the use of IP addresses for client identification appears feasible.  In recent years, the trend of logging in to online accounts through multiple personal devices (e.g., PCs, laptops, smart phones) is growing.  When used from a home environment, these devices often share a single public IP address which make IP-based history tracking more user friendly than cookies.
  • 4. Existing System The login protocols should make brute force and dictionary attacks ineffective even for adversaries with access to large botnets. The protocol should not have significant impact on usability. For example: for legitimate users, any additional steps besides entering login credentials should be minimal. increasing the security of the protocol must have minimal effect in decreasing the login usability. The protocol should be easy to deploy and scalable, requiring minimum computational resources in terms of memory, processing time and disk space.
  • 5. Proposed System • A List of {user name} pairs such that for each pair, a successful login from the source IP address has been initiated for the username. • Each entry in this table represents the number of failed login attempts for a valid username, UN. • A maximum of K2 failed login attempts are recorded. Accessing a nonexistent index returns 0. • If the user machine is identified by a session, a corresponding counter of the failed login attempts in the session will be updated. In addition, the FS entry indexed by the pair will also be incremented.