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Forensically-Sound Analysis of Security Risks of using Local Password Managers
Password managers have been developed to address the human challenges associated with password security, i.e., to solve usability issues in a secure way. They offer, e.g., features to create strong passwords, to manage the increasing number of passwords a typical user has, and to auto-fill passwords, sparing users the hassle of not only remembering but also typing them. Previous studies have focused mainly on the security analysis of cloud-based and browser-based password managers; security of local password managers remains mostly under-explored. This paper takes a forensic approach and reports on a case study of three popular local password managers: KeePass (v2.28), Password Safe (v3.35.1) and RoboForm (v7.9.12). Results revealed that either the master password or the content of the password database could be found unencrypted in Temp folders, Page files or Recycle bin, even after the applications had been closed. Therefore, an attacker or malware with temporary access to the computer on which the password managers were running may be able to steal sensitive information, even though these password managers are meant to keep the databases encrypted and protected at all times
How to design browser security and privacy alerts
Browser security and privacy alerts must be designed to ensure they are of value to the end-user, and communicate risks efficiently. We performed a systematic literature review, producing a list of guidelines from the research. Papers were analysed quantitatively and qualitatively to formulate a comprehensive set of guidelines. Our findings seek to provide developers and designers with guidance as to how to construct security and privacy alerts. We conclude by providing an alert template, highlighting its adherence to the derived guidelines
Keeping Authorities "Honest or Bust" with Decentralized Witness Cosigning
The secret keys of critical network authorities - such as time, name,
certificate, and software update services - represent high-value targets for
hackers, criminals, and spy agencies wishing to use these keys secretly to
compromise other hosts. To protect authorities and their clients proactively
from undetected exploits and misuse, we introduce CoSi, a scalable witness
cosigning protocol ensuring that every authoritative statement is validated and
publicly logged by a diverse group of witnesses before any client will accept
it. A statement S collectively signed by W witnesses assures clients that S has
been seen, and not immediately found erroneous, by those W observers. Even if S
is compromised in a fashion not readily detectable by the witnesses, CoSi still
guarantees S's exposure to public scrutiny, forcing secrecy-minded attackers to
risk that the compromise will soon be detected by one of the W witnesses.
Because clients can verify collective signatures efficiently without
communication, CoSi protects clients' privacy, and offers the first
transparency mechanism effective against persistent man-in-the-middle attackers
who control a victim's Internet access, the authority's secret key, and several
witnesses' secret keys. CoSi builds on existing cryptographic multisignature
methods, scaling them to support thousands of witnesses via signature
aggregation over efficient communication trees. A working prototype
demonstrates CoSi in the context of timestamping and logging authorities,
enabling groups of over 8,000 distributed witnesses to cosign authoritative
statements in under two seconds.Comment: 20 pages, 7 figure
Adding Salt to Pepper: A Structured Security Assessment over a Humanoid Robot
The rise of connectivity, digitalization, robotics, and artificial
intelligence (AI) is rapidly changing our society and shaping its future
development. During this technological and societal revolution, security has
been persistently neglected, yet a hacked robot can act as an insider threat in
organizations, industries, public spaces, and private homes. In this paper, we
perform a structured security assessment of Pepper, a commercial humanoid
robot. Our analysis, composed by an automated and a manual part, points out a
relevant number of security flaws that can be used to take over and command the
robot. Furthermore, we suggest how these issues could be fixed, thus, avoided
in the future. The very final aim of this work is to push the rise of the
security level of IoT products before they are sold on the public market.Comment: 8 pages, 3 figures, 4 table
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