[DFSci] IEEE Security & Privacy Call for Papers: Special Issue on Digital Forensics
Baker, Dave
bakerd at mitre.org
Fri Jan 20 05:23:24 PST 2017
http://cybersecurity.ieee.org/blog/2016/10/12/ieee-security-privacy-call-for-papers-special-issue-on-digital-forensics/
Modern societies are becoming increasingly dependent on open
networks where commercial activities, business transactions,
and government services are delivered. Despite the benefits,
these networks have led to new cyberthreats and cybersecurity
issues. Abuse of and mistrust for telecommunications and
computer network technologies have significant socioeconomic
impacts on global enterprises as well as individuals.
Cybercriminal activities such as fraud often require the
investigations that span across international borders. In
addition, they're often subject to different jurisdictions
and legal systems. The increased intricacy of the
communication and networking infrastructure complicates
investigation of such activities. Clues of illegal digital
activities are often buried in large volumes of data that
makes crime detection and evidence collection difficult.
This poses new challenges for law enforcement and compels
computer societies to utilize digital forensics to combat the
growing number of cybercrimes. Forensic professionals must be
fully prepared to gather effective digital evidence. Forensic
techniques must keep pace with new technologies; therefore,
digital forensics is becoming more important for law
enforcement and information and network security.
This multidisciplinary area includes several fields, including
law, computer science, finance, networking, data mining, and
criminal justice. It faces diverse challenges and issues in
terms of the efficiency of digital evidence processing and
related forensic procedures.
This IEEE Security & Privacy special issue aims to collect
the most relevant ongoing research efforts in digital
forensics field.
Topics include, but aren't limited to:
- real-world case studies, best practices, and readiness;
- challenges and emerging trends;
- digital forensic triage;
- anti-forensics and anti-anti-forensics approaches;
- networking incident response, investigation, and evidence
handling;
- network forensics and traffic analysis;
- detecting illegal sites and traffic (for instance, child
abuse/exploitation);
- malware and targeted attacks including analysis and
attribution;
- information-hiding techniques (network steganography, covert
channels, and so on);
- stealth communication through online games and its detection;
- use and implications of machine learning in digital forensics;
- big data and digital forensics;
- network traffic fingerprinting and attacks;
- cybercrimes design, detection, and investigation;
- cybercrime issues and solutions from a digital forensics
perspective;
- non-traditional forensic scenarios and approaches (for
instance, vehicles, SCADA, automation and control);
- social networking forensics;
- cloud forensics;
- law enforcement and digital forensics; and
- digital forensics for incident response, research, policy
compliance enforcement, and so on.
Submission/Publication Dates
Articles due for review: 1 March 2017
Publication date: November/December 2017
Submission Guidelines
Submissions will be subject to the IEEE Computer Society's
peer-review process. Articles should be at most 6,000 words,
with a maximum of 15 references, and should be understandable
to a broad audience of people interested in security, privacy,
and dependability. The writing style should be down to earth,
practical, and original. Authors should not assume that the
audience will have specialized experience in a particular
subfield. All accepted articles will be edited according to
the IEEE Computer Society style guide. Submit your papers to
ScholarOne at https://mc.manuscriptcentral.com/cs-ieee.
Direct any questions and abstracts (the committee will
consider papers that did not submit abstracts before the
deadline for abstracts which was Jan 1, 2017) to the guest
editors:
- Wojciech Mazurczyk, Warsaw University of Technology &
FernUniversität in Hagen, wmazurczyk at tele.pw.edu.pl
- Steffen Wendzel, Fraunhofer FKIE, steffen.wendzel at fkie.fraunhofer.de
- Luca Caviglione, ISSIA, National Research Council of Italy, luca.caviglione at ge.issia.cnr.it
- Simson L. Garfinkel, Center for Disclosure Avoidance Research,
United States Census Bureau, simsong at acm.org
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