6th European Conference - Academic Conferences

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Manoj Cherukuri and Srinivas Mukkamala Figure 9: Count of malicious websites versus outdegree on the log-log scale for the malicious and the non-malicious websites The average outdegree of the malicious websites was 3.9 with a standard deviation of 6.04. The average outdegree of the non-malicious websites was 39.17 with a standard deviation of 30.64. The standard deviation of the non-malicious websites was very high compared to the malicious websites. The standard deviation of the outdegree of the malicious websites and the non-malicious websites about the mean signify that the major portion of the non-malicious websites have an outdegree greater than 10 and the major portion of the malicious websites have an outdegree less than10. The spike in the series of malicious websites at the outdegree of 89 was due to a cluster of websites (about 35 websites) which had links to each other randomly. 5.2 Malicious websites linked through a non-malicious website For this analysis, a graph G (V, E) was constructed, where V is the set of vertices and E is the set of edges. All the distinct domains obtained during the construction of the link structure were considered as the vertices of graph G. Based on the links obtained during the construction of link structure, the vertices were connected with directional edges. All the malicious websites that were part of the link structure were loaded into set S. In order to identify the non-malicious websites facilitating malicious websites, all the vertices which were not in S and had a minimum of one edge pointing towards them from a vertex in S and minimum of one edge emerging from them towards another vertex in S were selected. In our study of link analysis, it was observed that around 5000 malicious websites were linked through 950 non-malicious websites. In this analysis, we tried to identify the domains which were not malicious but had links to malicious websites. In order to make the study effective, some of these non-malicious domains were visited manually to get a better knowledge about how the links to malicious domains were being placed in the nonmalicious domains. The main reason for this sort of linking was that the traffic sellers have built up websites with high pagerank that drives traffic towards the malicious websites which are short lived and according to Stevens (2010), the traffic sellers are paid based on the number of clicks or number of victims. As most of the traffic towards the non-popular domains is obtained through search engines, the traffic sellers are using these non-malicious domains as the means of driving towards the newly built malicious websites. The distribution of the outdegrees of the facilitating websites is shown in Figure 10. Figures 11, 12 and 13 show screenshots of websites promoting malicious websites in different ways. 60
Manoj Cherukuri and Srinivas Mukkamala Figure 10: Number of facilitating websites against their respective outdegrees on the log-log scale The mean of the facilitating websites was identified to be 50.12 with a standard deviation of 30.13. The mean outdegree of the facilitating websites is high compared to the mean outdegree of the malicious and the legitimate websites. The facilitating websites are having high outdegree mimicking the behavior of the legitimate websites in contrast to that of the malicious websites. Figure 11: Figure shows a screenshot of beautfulwallpapers.com The website in Figure 11 is non-malicious but has links to other malicious websites on the top left corner (marked in box) deceiving the users as all of them belong to the same website. Figure 12: Figure shows a screenshot of bizar.com The website in Figure 12 is non-malicious but promotes links to malicious websites with relevant content at the bottom of the page (marked in box). 61
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The Proceedings of the 6th Internat
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Contents Paper Title Author(s) Page
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Preface These Proceedings are the w
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Biographies of contributing authors
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Department of Computer Science, IQR
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Using the Longest Common Substring
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Jaime Acosta Some techniques that u
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Jaime Acosta assigned by an anti-vi
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Jaime Acosta Cormen, T.H., Leiserso
Page 19 and 20: Hind Al Falasi and Liren Zhang tran
Page 21 and 22: Hind Al Falasi and Liren Zhang ther
Page 23 and 24: Hind Al Falasi and Liren Zhang the
Page 25 and 26: Edwin Leigh Armistead and Thomas Mu
Page 27 and 28: Deception Operations Security (OPS
Page 33 and 34: The Uses and Limits of Game Theory
Page 35 and 36: 3. Limits to using game theory 3.1
Page 37 and 38: Merritt Baer Effective cyberintrusi
Page 39 and 40: Merritt Baer 1.5), there seems to b
Page 41 and 42: Merritt Baer Report of the Defense
Page 43 and 44: Ivan Burke and Renier van Heerden F
Page 45 and 46: Ivan Burke and Renier van Heerden a
Page 53 and 54: Marco Carvalho et al. systems start
Page 55 and 56: Marco Carvalho et al. Benatallah, 2
Page 57 and 58: Marco Carvalho et al. management la
Page 59 and 60: Marco Carvalho et al. Figure 4: Sta
Page 61 and 62: Marco Carvalho et al. Sorrels, D.,
Page 63 and 64: Manoj Cherukuri and Srinivas Mukkam
Page 69: Manoj Cherukuri and Srinivas Mukkam
Page 79 and 80: Mecealus Cronkrite et al. to see bo
Page 81 and 82: Mecealus Cronkrite et al. trivial.
Page 83 and 84: Mecealus Cronkrite et al. socially
Page 85 and 86: Mecealus Cronkrite et al. The views
Page 87 and 88: Vincent Garramone and Daniel Likari
Page 95 and 96: Stephen Groat et al. Sections 4 and
Page 97 and 98: Stephen Groat et al. probability fo
Page 99 and 100: Stephen Groat et al. host. In this
Page 101 and 102: Stephen Groat et al. changing addre
Page 103 and 104: Marthie Grobler et al. leadership,
Page 105 and 106: Marthie Grobler et al. apply to sta
Page 107 and 108: Marthie Grobler et al. 6. Working t
Page 109 and 110: Cyber Strategy and the Law of Armed
Page 111 and 112: Ulf Haeussler Alliance and Allies r
Page 113 and 114: Ulf Haeussler following the invocat
Page 115 and 116: Ulf Haeussler NCSA (2009) NCSA Supp
Page 117 and 118: Karim Hamza and Van Dalen of respon
Page 119 and 120: Karim Hamza and Van Dalen From a mi
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Karim Hamza and Van Dalen productiv
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Intelligence-Driven Computer Networ
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Eric Hutchins et al. of defensive a
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Eric Hutchins et al. Defenders can
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Eric Hutchins et al. Equally as imp
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Eric Hutchins et al. X-Mailer: Yaho
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Eric Hutchins et al. Received: (qma
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Eric Hutchins et al. U.S.-China Eco
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Saara Jantunen and Aki-Mauri Huhtin
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Brian Jewell and Justin Beaver In t
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Brian Jewell and Justin Beaver Figu
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4. Evaluation Brian Jewell and Just
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Brian Jewell and Justin Beaver othe
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Detection of YASS Using Calibration
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Kesav Kancherla and Srinivas Mukkam
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M M M Su−2 Sv ∑∑ u= 1 v= 1 h(
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5.2 ROC curves Kesav Kancherla and
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Developing a Knowledge System for I
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Louise Leenen et al. We distinction
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Louise Leenen et al. There is growi
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3.1 Needs analysis Louise Leenen et
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Louise Leenen et al. Kroenke, D.M.
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Jose Mas y Rubi et al. As we can se
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Figure 2: CALEA forensic model (Pel
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Jose Mas y Rubi et al. Table 2: Com
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Jose Mas y Rubi et al. Another pend
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Tree of Objectives Acknowledgements
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Secure Proactive Recovery - a Hardw
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Ruchika Mehresh et al. implementing
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Ruchika Mehresh et al. The coordina
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Ruchika Mehresh et al. multiplicati
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Ruchika Mehresh et al. Table 2: App
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2. Network infiltration detection D
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David Merritt and Barry Mullins on
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David Merritt and Barry Mullins Ess
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David Merritt and Barry Mullins Dev
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Muhammad Naveed Pakistan Computer E
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Muhammad Naveed response could also
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Muhammad Naveed Table 10: Aggressiv
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Muhammad Naveed 2006 Tcp Open Mysql
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Muhammad Naveed 8009 Tcp Open Ajp13
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Muhammad Naveed Austalian Taxation
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Alexandru Nitu world and bring it i
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Alexandru Nitu Article 51 restricts
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Alexandru Nitu As IW strategy and t
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Cyberwarfare and Anonymity Christop
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Christopher Perr attacks again help
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Christopher Perr about the current
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Catch me if you can: Cyber Anonymit
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David Rohret and Michael Kraft reve
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David Rohret and Michael Kraft sary
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Data (Evidence) Removal Shield Davi
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Neutrality in the Context of Cyberw
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Julie Ryan and Daniel Ryan 18th cen
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Julie Ryan and Daniel Ryan “Decla
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Julie Ryan and Daniel Ryan von Glah
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Harm Schotanus et al. In the remain
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Harm Schotanus et al. 2.3.1 Secure
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Harm Schotanus et al. In this setup
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Harm Schotanus et al. the label (by
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Harm Schotanus et al. these aspects
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Maria Semmelrock-Picej et al. they
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Maria Semmelrock-Picej et al. User
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Maria Semmelrock-Picej et al. SPIKE
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Maria Semmelrock-Picej et al. A cl
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Maria Semmelrock-Picej et al. in co
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Maria Semmelrock-Picej et al. In th
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Maria Semmelrock-Picej et al. Fuchs
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Madhu Shankarapani and Srinivas Muk
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Figure 1: UPX packed Trojan Figure
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Trojan.Zb ot- 1342.mal Trojan.Sp y.
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Madhu Shankarapani and Srinivas Muk
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Namosha Veerasamy and Marthie Grobl
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4. Conclusion Namosha Veerasamy and
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Tanya Zlateva et al. Computer Infor
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Tanya Zlateva et al. security and v
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Tanya Zlateva et al. court opinions
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Tanya Zlateva et al. 5. Pedagogy, e
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PhD Research Papers 277
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Shada Alsalamah et al. Level 3 all
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Shada Alsalamah et al. assure the a
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Shada Alsalamah et al. for Health I
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3. Hematology Laboratory System Who
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Shada Alsalamah et al. Pirnejad, H.
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Michael Bilzor a diverse base of U.
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Michael Bilzor In our current exper
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5. Execution monitor theory Michael
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Michael Bilzor design was run in si
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Michael Bilzor over testbench metho
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Evan Dembskey and Elmarie Biermann
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Theoretical Offensive Cyber Militia
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Rain Ottis Last, but not least, it
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Rain Ottis an infantry battalion, w
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Rain Ottis Ottis, R. (2008) “Anal
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Work in Progress Papers 315
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Large-Scale Analysis of Continuous
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References William Acosta Abadi, D.
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Natarajan Vijayarangan top box unit
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Natarajan Vijayarangan The proposed
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6th European Conference - Academic Conferences

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