Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/3190645.3190673acmconferencesArticle/Chapter ViewAbstractPublication Pagesacm-seConference Proceedingsconference-collections
research-article

Improving offensive cyber security assessments using varied and novel initialization perspectives

Published: 29 March 2018 Publication History
  • Get Citation Alerts
  • Abstract

    Offensive cyber security assessment methods such as red teaming and penetration testing have grown in parallel with evolving threats to evaluate traditional and diverging attack surfaces. This paper provides a taxonomy of ethical hacker conducted offensive security assessments by categorization of their initial evaluation perspectives. Included in this taxonomy are the traditional assessment perspectives which initiate analysis and attack simulation against networks either externally, from within a DMZ or internally. A novel paradigm of critical perspective as an initial point for offensive security evaluation processes is also presented. This initialization from a critical perspective bolsters the holistic capabilities of offensive cyber security assessment by providing a new offensive security assessment option intended to begin evaluation at the last line of defense between malicious actors and the crown jewels of an organization. Then from such a perspective assess outwards from the deepest levels of trust and security. This method will be shown to improve the ability to mitigate the impact of threats regardless of their originating from within or without an organization. As such, the assessment initialization at a critical perspective provides a new approach to offensive security assessment different from what has traditionally been practiced by red teams and penetration testers.

    References

    [1]
    AppliedTrust, "The Importance of Periodic Security Assessments," Viawest. {Online}. {Accessed 15 7 2017}.
    [2]
    c. s. choo, c. l. chua and s.-h. v. tay, "Automated red teaming: a proposed framework for military application," in 9th annual conference on Genetic and evolutionary computation, New Yotk, 2007.
    [3]
    A. Applebaum, D. Miller, B. Strom, C. Korban and R. Wolf, "Intelligent, automated red team emulation," in 32nd Annual Conference on Computer Security Applications, New York, 2016.
    [4]
    s. ghosh and s. juneja, "Computing worst-case tail probabilities in credit risk," in 38th conference on Winter simulation, 2006.
    [5]
    M. Y. Naghmouchi, N. Perrot, A. R. Mhjoub, N. Kheir and J.-P. Wary, "A New Risk Assessment Framework Using Graph Theory for Complex ICT Systems," in 8th ACM CCS International Workshop on Managing Insider Security Threats, Vienna, 2016.
    [6]
    The TREsPASS Project, "TREsPASS," 2017. {Online}. Available: https://www.trespass-project.eu/. {Accessed 4 October 2017}.
    [7]
    J. Heiser, "Understanding Data Leakage," Gartner Research Report, 2017.
    [8]
    CERT, "Common Sense Guide to Prevention and Detection of Insider Threat," CERT, 2009. {Online}. Available: http://www.ncix.gov/issues/ithreat/csg-v3.pdf. {Accessed 7 2017}.
    [9]
    Imperva, "Hacker Intelligence Initiative Report," Imperva, 2016.
    [10]
    V. Yegneswaran, P. Barford and U. Johannes, "Internet Intrusions: Global Characteristics and Prevalence," in 2003 ACM SIGMIETRICS international conference on Measurement and modeling of computer systems, 2003.
    [11]
    Eeye Security Inc., "Microsoft IIS Buffer Overflow Advisory," 2001. {Online}. Available: http : //www.eeye.com/html/ -- Research/Advisories/AD20010618.html. {Accessed 7 2017}.
    [12]
    K. Poore, "Nimda Worm - Why is it Different?," SANS Institute InfoSec Reading Room, 11 November 2001.
    [13]
    SANS, "IDFAQ: An analysis of SQL.Spider-B (Digispid.B.Worm, Spida, MSSQL Worm and SQLSnake)," SANS, 2003.
    [14]
    M. Bauer, "Paranoid Penguin: Designing and Using DMZ Networks to Protect Internet Servers," Linux Journal, vol. 2001, no. 83es, March 2001.
    [15]
    Verizon, "2017 Data Breach Investigations Report (DBIR)," Verizon, 2017.
    [16]
    Industrial Control Systems Cyber Emergency Response Team, "ICS-CERT Year in Review," NCCIC, 2016.
    [17]
    M. J. Lewis, "Characterizing risk," in Eighth Annual Cyber Security and Information Intelligence Research Workshop, 2013.
    [18]
    "Data Classification Standard," 22 April 2013. {Online}. Available: https://security.berkeley.edu/data-classification-standard. {Accessed 16 7 2017}.
    [19]
    P. Manadhata, J. Wing, M. Flynn and M. McQueen, "Measuring the attack surfaces of two FTP daemons," in 2nd ACM workshop on Quality of protection, Alexandria, 2006.
    [20]
    K. Sun and S. Jajodia, "Protecting Enterprise Networks through Attack Surface Expansion," in 2014 Workshop on Cyber Security Analytics, Intelligence and Automation, Scottsdale, 2014.
    [21]
    J. Stuckman and J. Purtilo, "Comparing and applying attack surface metrics," in 4th international workshop on Security measurements and metrics, Lund, 2012.
    [22]
    The Open Web Application Security Project (OWASP), "What is Attack Surface Analysis and Why is it Important?," OWASP, July 2015. {Online}. Available: https://www.owasp.org/index.php/Attack_Surface_Analysis_Cheat_Sheet. {Accessed 17 July 2017}.
    [23]
    SANS Technology Institute, "Security Laboratory: Defense In Depth Series," SANS, 2016. {Online}. Available: https://www.sans.edu/cyber-research/security-laboratory/article/did-attack-surface. {Accessed 17th July 2017}.
    [24]
    M. Chapple, "Four Tips for Securing a Network DMZ," 18 May 2012. {Online}. Available: https://fedtechmagazine.com/article/2012/05/four-tips-securing-network-dmz-fed. {Accessed 17 July 2017}.
    [25]
    That Security Blog, "Penetration Testing and Rules of engagement," 3 September 2016. {Online}. Available: https://fl0x2208.wordpress.com/2016/09/03/penetration-testing-and-rules-of-engagement/. {Accessed 18 July 2017}.
    [26]
    pentest-standard, "pre-engagement," 16 August 2014. {Online}. Available: http://www.pentest-standard.org/index.php/Pre-engagement. {Accessed 18 July 2017}.
    [27]
    J. Mirkovic, P. Reiher, S. Fahmy, R. Thomas, A. Hussain, S. Schwab and C. Ko, "Measuring denial Of service," in 2nd ACM workshop on Quality of protection, Alexandria, 2006.
    [28]
    J. Brustoloni, "Protecting electronic commerce from distributed denial-of-service attacks," in 11th international conference on World Wide Web, Honolulu, 2002.
    [29]
    M. Schmidt, M. Smith, N. Fallenbeck, H. Picht and B. Freisleben, "Building a demilitarized zone with data encryption for grid environments," in first international conference on Networks for grid applications, Lyon, 2007.
    [30]
    B. J. Wood and R. A. Duggan, "Red Teaming of Advanced Information Assurance Concepts," in DARPA Information Survivability Conference and Exposition, 2000, Hilton Head, 2000.
    [31]
    C. Kirsch, "What is Penetration Testing?," Rapid7, 17 April 2013. {Online}. Available: https://community.rapid7.com/docs/DOC-2248. {Accessed 19 July 2017}.
    [32]
    D. Russel and G. T. Gangemi, Computer Security Basics, Sebastopol: O'Reilly & Associates.
    [33]
    S. Siddiqui, M. S. Khan, K. Ferens and W. Kinser, "Detecting Advanced Persistent Threats using Fractal Dimension based Machine Learning Classification," in 2016 ACM on International Workshop on Security And Privacy Analytics, New Orleans, 2016.
    [34]
    K. Hafner and J. Markoff, Cyberpunk: Outlaws and Hackers on the Computer Frontier, New York: Simon & Shuster, 1991.
    [35]
    C. Han and R. Dongre, "Q&A What Motivates Cyber-Attackers?," Talent First Network, October 2014. {Online}. Available: https://timreview.ca/article/838. {Accessed 18 July 2017}.

    Cited By

    View all
    • (2022)A Systematic Study on Network Attacks and Intrusion Detection SystemMachine Intelligence and Data Science Applications10.1007/978-981-19-2347-0_16(195-210)Online publication date: 2-Aug-2022
    • (2021)Design and Development of Hybrid Algorithms to Improve Cyber Security and Provide Securing Data Using Image Steganography With Internet of ThingsMultidisciplinary Approach to Modern Digital Steganography10.4018/978-1-7998-7160-6.ch015(326-338)Online publication date: 2021

    Index Terms

    1. Improving offensive cyber security assessments using varied and novel initialization perspectives

      Recommendations

      Comments

      Information & Contributors

      Information

      Published In

      cover image ACM Conferences
      ACMSE '18: Proceedings of the 2018 ACM Southeast Conference
      March 2018
      246 pages
      ISBN:9781450356961
      DOI:10.1145/3190645
      • Conference Chair:
      • Ka-Wing Wong,
      • Program Chair:
      • Chi Shen,
      • Publications Chair:
      • Dana Brown
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

      Sponsors

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 29 March 2018

      Permissions

      Request permissions for this article.

      Check for updates

      Author Tags

      1. cyber security
      2. penetration test
      3. red team
      4. risk
      5. security assessment

      Qualifiers

      • Research-article

      Conference

      ACM SE '18
      Sponsor:
      ACM SE '18: Southeast Conference
      March 29 - 31, 2018
      Kentucky, Richmond

      Acceptance Rates

      ACMSE '18 Paper Acceptance Rate 34 of 41 submissions, 83%;
      Overall Acceptance Rate 502 of 1,023 submissions, 49%

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • Downloads (Last 12 months)15
      • Downloads (Last 6 weeks)2
      Reflects downloads up to 12 Aug 2024

      Other Metrics

      Citations

      Cited By

      View all
      • (2022)A Systematic Study on Network Attacks and Intrusion Detection SystemMachine Intelligence and Data Science Applications10.1007/978-981-19-2347-0_16(195-210)Online publication date: 2-Aug-2022
      • (2021)Design and Development of Hybrid Algorithms to Improve Cyber Security and Provide Securing Data Using Image Steganography With Internet of ThingsMultidisciplinary Approach to Modern Digital Steganography10.4018/978-1-7998-7160-6.ch015(326-338)Online publication date: 2021

      View Options

      Get Access

      Login options

      View options

      PDF

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      Media

      Figures

      Other

      Tables

      Share

      Share

      Share this Publication link

      Share on social media