new structure

main.tex

@@ -38,7 +38,7 @@
   % the table of contents
   %toctotoc, % Uncomment to add the main table of contents to the
   % table of contents
-  %parskip, % Uncomment to add space between paragraphs
+  parskip, % Add space between paragraphs and remove indentation
   %nohyperref, % Uncomment to not load the hyperref package
   headsepline, % Uncomment to get a line under the header
   chapterinoneline, % Place the chapter title next to the number on one line
@@ -87,7 +87,7 @@
 %  THESIS INFORMATION
 %----------------------------------------------------------------------------------------
 
-\thesistitle{Decrypting the Overlay: A Reproducible Analysis of P2P
+\thesistitle{A Reproducible Analysis of P2P
 VPN Implementation and Overhead} % Your thesis title, this is used in the title
 % and abstract, print it elsewhere with \ttitle
 %\supervisor{\textsc{Ber Lorke}} % Your supervisor's name, this is
@@ -224,41 +224,22 @@ and Management}} % Your department's name and URL, this is used in
 \begin{abstract}
   \addchaptertocentry{\abstractname} % Add the abstract to the table of contents
 
-  This thesis evaluates the performance and fault tolerance of
-  peer-to-peer mesh VPNs through an automated, reproducible
-  benchmarking framework
-  built on the Clan deployment system.
-  We establish a cloud API–independent, binary-reproducible environment
-  for deploying and assessing various VPN implementations,
-  including Tailscale (via Headscale), Hyprspace, Lighthouse, Tinc,
-  and ZeroTier.
-
-  To simulate real-world network conditions, we employ four impairment profiles
-  with varying degrees of packet loss, reordering, latency, and jitter.
-  Our benchmark suite comprises RIST video streaming, Nix cache downloads,
-  iperf3 throughput tests, QUIC transfers, and ping latency measurements.
-  The experiments run on three machines interconnected at 1\,Gbps,
-  each equipped with four CPU cores and eight threads.
-  In total, we evaluate ten VPNs across seven benchmarks and four
-  impairment profiles,
-  yielding over 300 unique measurements.
+  This thesis benchmarks peer-to-peer mesh VPNs using a reproducible,
+  Nix-based framework built with a deployment system called Clan. We
+  evaluate ten VPN implementations; including Tailscale (via
+  Headscale), Hyprspace, Nebula, Tinc, and ZeroTier; under four
+  network impairment profiles varying packet loss, reordering,
+  latency, and jitter, yielding over 300 unique measurements across
+  seven benchmarks.
 
   Our analysis reveals that Tailscale outperforms the Linux kernel's
-  default networking stack under degraded network conditions—a
-  counterintuitive finding
-  we investigate through source code analysis of packet handling,
-  encryption schemes, and resilience mechanisms.
-  This investigation also uncovered several critical security vulnerabilities
-  across the evaluated VPNs.
-
-  We validate our hypotheses by re-running benchmarks with tuned
-  Linux kernel parameters,
-  demonstrating measurable improvements in network throughput.
-  This work contributes to decentralized networking research
-  by providing an extensible framework for reproducible P2P benchmarks,
-  offering insights into mesh VPN implementation quality,
-  and demonstrating that default Linux kernel settings are suboptimal
-  for adverse network conditions.
+  default networking stack under degraded conditions. and tuned
+  congestion control: Reno over CUBIC, with RACK disabled to avoid
+  spurious retransmits under reordering. We validate this
+  hypothesis by re-running benchmarks with tuned kernel buffer
+  parameters, demonstrating measurable throughput improvements. This
+  investigation also uncovered several critical security
+  vulnerabilities across the evaluated VPNs.
 
 \end{abstract}
 
@@ -351,7 +332,7 @@ and Management}} % Your department's name and URL, this is used in
 % Uncomment the lines as you write the chapters
 \include{Chapters/Introduction}
 \include{Chapters/Methodology}
-
+\include{Chapters/Preliminaries}
 
 %\include{Chapters/Chapter1}
 %\include{Chapters/Chapter2}