structure doc

analysis/align-obj.tex

@@ -0,0 +1,14 @@
+\subsection{Align Object}
+\subsubsection{Privacy}
+Excellent\\
+The method doesn't on any tracking elements in it's decision process.
+
+\subsubsection{Effectiveness}
+Good\\
+The method relies on Optical Character Recognition (OCR) capabilities of human
+users. OCR technology is becoming increasingly sophisticated which would render
+this method ineffective in the future.
+Object  Recognition Technology is becoming
+\subsubsection{Accessibility}
+\subsubsection{Accuracy}
+\subsubsection{Privacy}

analysis/main.tex

@@ -0,0 +1,2 @@
+\section{Analysis}
+\input{analysis/align-obj.tex}

intro/intro.tex

@@ -0,0 +1,46 @@
+\begin{abstract}
+	CAPTCHA systems were originally designed to protect against automated
+	bot-based Denial of Service (DoS) attacks and spam. But over time, these
+	systems have become ineffective due to overfocus on identifying humans from
+	bots than combating DoS attacks and spam. As a result, they have become
+	privacy invasive systems that pose accessibility challenges with reduced
+	effectiveness and accuracy.\ mCaptcha is a proof of work based,
+	non-interactive DoS protection system designed to overcome the limitations
+	of traditional CAPTCHA systems' limitations while offering superior
+	protection services. The mechanism is stateless, so it is able accurately
+	defend against attacks over anonymous networks like TOR and the
+	non-interactive nature makes it ideal users with auditory, cognitive and
+	visual disabilities.
+\end{abstract}
+ 
+\section{Introduction}\label{sec:intro}
+Denial of Service (DoS) attacks and spam campaigns reduce the quality of service
+for internet services. Different types of rate-limiters were employed to combat
+such attacks. Today rate-limiters on the web are synonymous with CAPTCHAs.
+CAPTCHA systems work on the premise that an automated bot user can inflict more
+damage than a human user and attacks can be contained if they can accurately
+differentiate a human from a bot. The rise of cheap human labor powered CAPTCHA
+farms in third-world countries have given attackers a way to bypass CAPTCHA
+systems. To combat this new threat, CAPTCHA implementers are constantly raising the
+difficulty of the challenges. This universal raise in difficulty impacts bots
+and unassuming alike. The web is becoming increasingly less accessible to users
+with disabilities and non-English speaking users. Some CAPTCHA systems employ
+multiple methods to in their process. Privacy invasive mechanisms like cookies
+and IP tracking are popular methods that are used in conjunction with
+traditional CAPTCHA mechanisms, both of which are ineffective against
+anonymous networks like TOR and pose serious privacy risks to their users.
+
+The rest of this paper, rates different CAPTCHA mechanisms and systems based on
+parameters mentioned below and describe how mCaptcha overcomes some of
+them. 
+
+% ==================================================
+%					Parameters
+% ==================================================
+\input{intro/params.tex}
+
+% ==================================================
+%					Methods
+% ==================================================
+
+\input{intro/methods.tex}

intro/methods.tex

@@ -0,0 +1,44 @@
+\subsection{CAPTCHA methods analysed}
+We analysed at the following CAPTCHA methods using the above mentioned
+parameters. These are popular methods are currently in deployment.
+%TODO add images
+
+\subsubsection{Align object}
+Objects in various degrees of misalignments are displayed to the user and are
+asked to chose the one that is perfectly aligned.
+		% Example GitHub/Kik inverted Hipop
+
+\subsubsection{Blurred Text}
+A sequence of randomly generated letters and digits are 
+		presented to the user with added noise, scattered distribution and
+		rotations. Sometimes, they are also presented in 3D form. 
+
+\subsubsection{Context based}
+This method is personalised to the platforms they are displayed on. They usually
+pose challenges which can only be solved if the user is familiar with the
+platforms. Some examples are:
+	\begin{itemize}
+		\item What is the name of the website's mascot?  
+		\item Who owns this website?
+		\item What are our members collectively called? (example: Reddit users are
+			called Redditors)
+	\end{itemize}
+
+\subsubsection{Audio based}
+A audio recording with added noise is presented to the user who is asked to
+transcribe the content of the recording.
+
+\subsubsection{IP tracking}
+IP address is used to blacklist misbehaving users. Strictly speaking, this isn't
+a CAPTCHA method but is frequently used in conjunction with other methods.
+
+\subsubsection{Image identification}
+A blurred image with added noise or unusual cropping is presented to the user
+who is requested to identify the object in it. Sometimes, the users are also
+asked to pick images that match a certain description from a collection of
+images.
+
+\subsubsection{Proof of Work based}
+This is an alternative to CAPTCHA method that has been used for rate-limiting.
+The user agent is presented with a challenge and is tasked generate a
+cryptographic proof which computationally expensive.

intro/params.tex

@@ -0,0 +1,33 @@
+\subsection{CAPTCHA rating parameters}
+CAPTCHA systems use a variety of methods in their decision process. Every method
+has it's own strengths and limitations but the following parameters have been
+chosen to uniformly rate CAPTCHA methods and systems in an attempt to compare
+them.
+\begin{description}[\IEEEsetlabelwidth{Effectiveness}]
+\item[Privacy] 
+	\begin{itemize}
+		\item Does the method use trackers or any other identifying method?
+		\item Does the method work in anonymous networks like TOR?\
+	\end{itemize}
+\item[Effectiveness]
+	\begin{itemize}
+		\item Is the method/system effective in containing DoS attacks? 
+		\item Can the method be circumvented? If yes, how practical/feasible
+		the attack?
+
+	\end{itemize}
+\item[Accessibility]
+	\begin{itemize}
+		\item Is the method posing any challenges to visually to users
+			with auditory, cognitive and visual disabilities? 
+		\item How easy is it to use?
+		\item Does the method have a language dependency which poses a challenge to
+		non-English speakers?
+	\end{itemize}
+\item[Accuracy]
+	\begin{itemize}
+		\item How accurate is the method in detecting potentially malicious
+			users?
+		\item Are there any factors that method's impact accuracy?
+	\end{itemize}
+\end{description}

paper.tex

@@ -9,119 +9,7 @@
 \IEEEauthorblockA{VIT AP SENSE}}
 \maketitle
 
-\begin{abstract}
+\input{intro/intro.tex}
-	CAPTCHA systems were originally designed to protect against automated
+\input{analysis/main.tex}
-	bot-based Denial of Service (DoS) attacks and spam. But over time, these
-	systems have become ineffective due to overfocus on identifying humans from
-	bots than combating DoS attacks and spam. As a result, they have become
-	privacy invasive systems that pose accessibility challenges with reduced
-	effectiveness and accuracy.\ mCaptcha is a proof of work based,
-	non-interactive DoS protection system designed to overcome the limitations
-	of traditional CAPTCHA systems' limitations while offering superior
-	protection services. The mechanism is stateless, so it is able accurately
-	defend against attacks over anonymous networks like TOR and the
-	non-interactive nature makes it ideal users with auditory, cognitive and
-	visual disabilities.
-\end{abstract}
- 
-\section{Introduction}\label{sec:intro}
-Denial of Service (DoS) attacks and spam campaigns reduce the quality of service
-for internet services. Different types of rate-limiters were employed to combat
-such attacks. Today rate-limiters on the web are synonymous with CAPTCHAs.
-CAPTCHA systems work on the premise that an automated bot user can inflict more
-damage than a human user and attacks can be contained if they can accurately
-differentiate a human from a bot. The rise of cheap human labor powered CAPTCHA
-farms in third-world countries have given attackers a way to bypass CAPTCHA
-systems. To combat this new threat, CAPTCHA implementers are constantly raising the
-difficulty of the challenges. This universal raise in difficulty impacts bots
-and unassuming alike. The web is becoming increasingly less accessible to users
-with disabilities and non-English speaking users. Some CAPTCHA systems employ
-multiple methods to in their process. Privacy invasive mechanisms like cookies
-and IP tracking are popular methods that are used in conjunction with
-traditional CAPTCHA mechanisms, both of which are ineffective against
-anonymous networks like TOR and pose serious privacy risks to their users.
-
-The rest of this paper, rates different CAPTCHA mechanisms and systems based on
-parameters mentioned below and describe how mCaptcha overcomes some of
-them. 
-
-\subsection{CAPTCHA rating parameters}
-CAPTCHA systems use a variety of methods in their decision process. Every method
-has it's own strengths and limitations but the following parameters have been
-chosen to uniformly rate CAPTCHA methods and systems in an attempt to compare
-them.
-\begin{description}[\IEEEsetlabelwidth{Effectiveness}]
-\item[Privacy] 
-	\begin{itemize}
-		\item Does the method use trackers or any other identifying method?
-		\item Does the method work in anonymous networks like TOR?\
-	\end{itemize}
-\item[Effectiveness]
-	\begin{itemize}
-		\item Is the method/system effective in containing DoS attacks? 
-		\item Can the method be circumvented? If yes, how practical/feasible
-		the attack?
-
-	\end{itemize}
-\item[Accessibility]
-	\begin{itemize}
-		\item Is the method posing any challenges to visually to users
-			with auditory, cognitive and visual disabilities? 
-		\item How easy is it to use?
-		\item Does the method have a language dependency which poses a challenge to
-		non-English speakers?
-	\end{itemize}
-\item[Accuracy]
-	\begin{itemize}
-		\item How accurate is the method in detecting potentially malicious
-			users?
-		\item Are there any factors that method's impact accuracy?
-	\end{itemize}
-\end{description}
-
-\subsection{CAPTCHA methods analysed}
-We analysed at the following CAPTCHA methods using the above mentioned
-parameters. These are popular methods are currently in deployment.
-%TODO add images
-
-\subsubsection{Align object}
-Objects in various degrees of misalignments are displayed to the user and are
-asked to chose the one that is perfectly aligned.
-		% Example GitHub/Kik inverted Hipop
-
-\subsubsection{Blurred Text}
-A sequence of randomly generated letters and digits are 
-		presented to the user with added noise, scattered distribution and
-		rotations. Sometimes, they are also presented in 3D form. 
-
-\subsubsection{Context based}
-This method is personalised to the platforms they are displayed on. They usually
-pose challenges which can only be solved if the user is familiar with the
-platforms. Some examples are:
-	\begin{itemize}
-		\item What is the name of the website's mascot?  
-		\item Who owns this website?
-		\item What are our members collectively called? (example: Reddit users are
-			called Redditors)
-	\end{itemize}
-
-\subsubsection{Audio based}
-A audio recording with added noise is presented to the user who is asked to
-transcribe the content of the recording.
-
-\subsubsection{IP tracking}
-IP address is used to blacklist misbehaving users. Strictly speaking, this isn't
-a CAPTCHA method but is frequently used in conjunction with other methods.
-
-\subsubsection{Image identification}
-A blurred image with added noise or unusual cropping is presented to the user
-who is requested to identify the object in it. Sometimes, the users are also
-asked to pick images that match a certain description from a collection of
-images.
-
-\subsubsection{Proof of Work based}
-This is an alternative to CAPTCHA method that has been used for rate-limiting.
-The user agent is presented with a challenge and is tasked generate a
-cryptographic proof which computationally expensive.
 
 \end{document}