addres lints

paper.tex

@@ -1,15 +1,12 @@
 \documentclass[conference]{IEEEtran} 
-\usepackage[english]{babel} % To obtain English text with the blindtext package
-\usepackage{blindtext}
+%\usepackage[english]{babel} % To obtain English text with the blindtext package
+%\usepackage{blindtext}
 \begin{document}
+
 \title{Analysis of bot detection and spam prevention systems} 
-% TODO get author names from Prof. Sibi
-\author {
-	\IEEEauthorblockN{Aravinth Manivannan, Sibi Chakkaravarth S, TODO}
-	\IEEEauthorblockA{SENSE, VIT AP, AP, India - pincode\\
-		foo@example.com
-	}
-}
+
+\author{\IEEEauthorblockN{Aravinth Manivannan, Sibi Chakkaravarthi}
+\IEEEauthorblockA{VIT AP SENSE}}
 \maketitle
 
 \begin{abstract}
@@ -18,7 +15,7 @@
 	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,
+	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
@@ -27,9 +24,7 @@
 	visual disabilities.
 \end{abstract}
  
-\section{Introduction}
-\label{sec:intro}
-
+\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.
@@ -59,7 +54,7 @@ them.
 \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?
+		\item Does the method work in anonymous networks like TOR?\
 	\end{itemize}
 \item[Effectiveness]
 	\begin{itemize}