[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


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 
- network forensics and traffic analysis;
- detecting illegal sites and traffic (for instance, child 
- malware and targeted attacks including analysis and 
- 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 
- 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 
- 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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