Client-side computers connected to the Internet today are exposed to a lot malicious activity. Browsing the web can easily result in malware infection even if the user only visits well known and trusted sites. Attackers use website vulnerabilities and ad-networks to expose their malicious code to a large user base. The continuing trend of the attackers seems to be botnet construction that collects large amounts of data which could be a serious threat to company secrets and personal integrity. Meanwhile security researches are using a technology known as honeypots/honeyclients to find and analyze new malware. This thesis takes the concept of honeyclients and combines it with a proxy and database software to construct a new kind of real time defense mechanism usable in live environments. The concept is given the name Honeyscout and it analyzes any content before it reaches the user by using visited sites as a starting point for further crawling, blacklisting any malicious content found. A proof-of-concept honeyscout has been developed using the honeyclient Monkey-Spider by Ali Ikinci as a base. Results from the evaluation shows that the concept has potential as an effective and user-friendly defense technology. There are however large needs to further optimize and speed up the crawling process.

This work describes honeypots, their definition, clasification and logging possibilities. In the practical part honeypots are tested for the services that are most often attacked, their installation is performed and tests are made for basic familiarization with the functionality of the honeypot. Furthermore, the honeypot is exposed to the Internet and the obtained data are analyzed.

S vedomím že kybernetické útoky stoja korporácie každoročne miliardy, počínajúc neoprávnenými útokmi, distribuovanými útokmi odmietnutia služieb (DDOS) až po vírusy a počítačové červy atď., prichádza problém s nástrojmi, ktoré majú k dispozícii správcovia systému. Táto diplomová práca sa venuje skúmaniu jedného z takýchto nástrojov, Honeypot. Presnejšie, Honeypot zariadeniam pre priemyselné riadiace systémy. Od historicky počiatočných implementácií takýchto systémov, cez analýzu súčasných riešení až po vytvorenie nového riešenia Honeypot, s vysokou mierou interakcie a následným nasadením na nový virtuálny súkromný server, po ktorom nasleduje analýza narušení, ktoré sa vyskytnú počas obdobia nasadenia.

This text deals with computer network security using honeypot technology, as a tool of intentional trap for attackers. It closely describes basic thoughts, together with advantages and disadvantages of this concept. The main aim is a low interaction honeypot Honeyd, its functionality and possible extensional features. As a practical part of the text there is a description of principles of implementation Honeyd service scripts, which are represented as a simulation of behavior of computer worm Conficker. Further it describes creation of automated script used for analysis and processing of gathered data, captured during actual deployment of Honeyd in Internet network.

This thesis is presented as an artifact of a project conducted at MalmöUniversity IoTaP LABS. The Internet of Things (IoT) is a growing field and its usehas been adopted in many aspects of our daily lives, which has led todigitalization and the creation of smart IoT ecosystems. However, with the rapidadoption of IoT, little or no focus has been put on the security implications,device proliferations and its advancements. This thesis takes a step forward toexplore the usefulness of implementing a security mechanism that canproactively be used to aid understanding attacker behaviour in an IoTenvironment. To achieve this, this thesis has outlined a number of objectivesthat ranges from how to create a deliberate vulnerability by using honeypots inorder to lure attacker’s in order to study their modus operandi. Furthermore,an Intrusion Attack Detection (Model) has been constructed that has aided withthis implementation. The IAD model, has been successfully implemented withthe help of interaction and dependence of key modules that have allowedhoneypots to be executed in a controlled IoT environment. Detailed descriptionsregarding the technologies that have been used in this thesis have also beenexplored to a greater extent. On the same note, the implemented system withthe help of an attack scenario allowed an attacker to access the system andcircumnavigate throughout the camouflaged network, thereafter, the attacker’sfootprints are mapped based on the mode of attack. Consequently, given thatthis implementation has been conducted in MAU environment, the results thathave been generated as a result of this implementations have been reportedcorrectly. Eventually, based on the results that have been generated by thesystem, it is worth to note that the research questions and the objective posedby the thesis have been met.

Föreliggande kandidatarbete har till syfte att undersöka fenomenet Webskrapning. Webbskrapnings-program (också kända som Web Wanderers, Crawlers, Spiders eller skrapare) är program som söker igenom webben automatiskt för att extrahera information från webbsidor. Ett exempel på web skrapning är när ett företag samlar in data om prissättningar på en vara eller en tjänst och sen använder informationen för att producera billigare erbjudanden. Detta ger företaget en fördel så att de kan fokusera mera på att marknadsföra sin sida/tjänster. Utöver detta så blir de utsatta företagens servrar också hårt belastade med trafik (skrapning) från ”icke kunder”. Efter att ha genomsökt både akademiska och allmänna källor via informationsinsamling, av denna information så dras slutsatsen att man inte fullt ut kan hindra skrapning av hemsidor. Detta på samma sätt som man inte fullt ut kan hindra någon IT-attack, det finns inga 100 % vattentäta system. Av utfallet ifrån informationssökningen var det bara ett akademiskt arbete, av de hundra, som genomsöktes som hade inriktat sig på att förhindra skrapningsbotar.

Publication aims to propose and apply new metrics for intrusion detection in network traffic according to analysis of existing metrics, analysis of network traffic and behavioral characteristics of known attacks. The main goal of the thesis is to propose and implement new collection of metrics which will be capable to detect zero day attacks.

L'objectif de cette thèse est de concevoir et d'appliquer de nouvelles méthodes de supervision capables d'appréhender les problèmes de sécurité affectant les données au sein des réseaux P2P structurés (DHT). Ceux-ci sont de deux types. D'une part les réseaux P2P sont utilisés pour diffuser des contenus illégaux dont l'activité est difficile à superviser. D'autre part, l'indexation des contenus légitimes peut être corrompue (attaque Sybil).Nous proposons tout d'abord une méthode de supervision des contenus basée sur l'insertion de sondes et le contrôle du mécanisme d'indexation du réseau. Celle-ci permet d'attirer l'ensemble des requêtes des pairs pour un contenu donné, puis de vérifier leur intention en générant des appâts très attractifs. Nous décrivons ainsi les faiblesses du réseau permettant la mise en oeuvre de notre méthode en dépit des protections existantes. Nous présentons les fonctionnalités de notre architecture et en évaluons l'efficacité sur le réseau P2P KAD avant de présenter un déploiement réel ayant pour but l'étude des contenus pédophiles.Nous considérons ensuite la sécurité des données indexées dans une DHT. Nous supervisons le réseau KAD et montrons que celui-ci est victime d'une pollution particulièrement néfaste affectant 2/3 des fichiers mais aussi de nombreuses attaques ciblées affectant la sécurité des contenus stockés. Nous proposons un moyen de détecter efficacement cette dernière attaque en analysant la distribution des identifiants des pairs autour d'une référence ainsi qu'une contre-mesure permettant de protéger les pairs à un coût négligeable. Nous terminons par l'évaluation de la protection au sein de réseaux P2P réels. / The purpose of this thesis is to design and implement new monitoring solutions which are able to deal with the security issues affecting data stored in large structured P2P networks (DHT). There are two major types of issues. First, P2P networks are used to spread illegal contents whose activity is difficult to monitor accurately. Second, the indexation of regular contents can be corrupted (Sybil attack).We first designed a new approach to monitor contents based on the insertion of distributed probes in the network to take control of the indexation mechanism. The probes can attract all the related requests for a given content and assess the peers intent to access it by generating very attractive honeypots. We describe the weaknesses of the network allowing our solution to be effective despite recent protection mechanisms. We then present the services offered by our monitoring architecture and we evaluate its efficiency on KAD. We also present a real deployment whose purpose is to study pedophile contents on this network.Then, we focus on data integrity in distributed hash tables. We performed large scale monitoring campaigns on the KAD network. Our observations show that it suffers from a very harmful pollution of its indexation mechanism affecting 2/3 of the shared files and from a large number of localized attacks targeting contents. To mitigate these threats, we propose a new efficient way to detect attacks by analysing the distribution of the peers' ID found around an entry after a DHT lookup and a counter-measure which can protect the peers at a negligible cost. Finally, we evaluate our solution in real P2P networks.

In this paper, system of automatic processing of attacks using honeypots is discussed. The first goal of the thesis is to become familiar with the issue of signatures to detect malware on the network, especially the analysis and description of existing methods for automatic generation of signatures using honeypots. The main goal is to use the acquired knowledge to the design and implementation of tool which will perform the detection of new malicious software on the network or end user's workstation.

This thesis focuses on description of the current state of research in the detection of network attacks and subsequently on the improvement of detection capabilities of specific attacks by establishing a formal definition of network metrics. These metrics approximate the progress of network connection and create a signature, based on behavioral characteristics of the analyzed connection. The aim of this work is not the prevention of ongoing attacks, or the response to these attacks. The emphasis is on the analysis of connections to maximize information obtained and definition of the basis of detection system that can minimize the size of data collected from the network, leaving the most important information for subsequent analysis. The main goal of this work is to create the concept of the detection system by using defined metrics for reduction of the network traffic to signatures with an emphasis on the behavioral aspects of the communication. Another goal is to increase the autonomy of the detection system by developing an expert knowledge of honeypot system, with the condition of independence to the technological aspects of analyzed data (e.g. encryption, protocols used, technology and environment). Defining the concept of honeypot system's expert knowledge in the role of the teacher of classification algorithms creates autonomy of the~system for the detection of unknown attacks. This concept also provides the possibility of independent learning (with no human intervention) based on the knowledge collected from attacks on these systems. The thesis describes the process of creating laboratory environment and experiments with the defined network connection signature using collected data and downloaded test database. The results are compared with the state of the art of the network detection systems and the benefits of the proposed approximation methods are highlighted.