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Jassim Aljuraidan

dblp:133/2057 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 1Databases, data management, data science and information retrieval · 1Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
1 paper
Cyber-physical and IoT security · 50% Systems and software security · 50%
Computer networks
1 paper
Internet of things and sensor networks · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Systems and software security › information flow control
information flow analysis
0.312017
Some Recipes Can Do More Than Spoil Your Appetite: Analyzing the Security and Privacy Risks of IFTTT Recipes · WWW 2017
Internet of things and sensor networks
smart home
0.112017
Some Recipes Can Do More Than Spoil Your Appetite: Analyzing the Security and Privacy Risks of IFTTT Recipes · WWW 2017

Methods — techniques the papers use, named apart from their topics

information-flow modeling · 0.6
YearPublicationVenuePosition
2017 Some Recipes Can Do More Than Spoil Your Appetite: Analyzing the Security and Privacy Risks of IFTTT Recipes
abstract
The use of end-user programming, such as if-this-then-that (IFTTT), is becoming increasingly common. Services like IFTTT allow users to easily create new functionality by connecting arbitrary Internet-of-Things (IoT) devices and online services using simple if-then rules, commonly known as recipes. However, such convenience at times comes at the cost of security and privacy risks for end users. To gain an in-depth understanding of the potential security and privacy risks, we build an information-flow model to analyze how often IFTTT recipes involve potential integrity or secrecy violations. Our analysis finds that around 50% of the 19,323 unique recipes we examined are potentially unsafe, as they contain a secrecy violation, an integrity violation, or both. We next categorize the types of harm that these potentially unsafe recipes can cause to users. After manually examining a random selection of potentially unsafe recipes, we find that recipes can not only lead to harms such as personal embarrassment but can also be exploited by an attacker, e.g., to distribute malware or carry out denial-of-service attacks. The use of IoT devices and services like IFTTT is expected only to grow in the near future; our analysis suggests users need to be both informed about and protected from these emerging threats to which they could be unwittingly exposing themselves.
Milijana Surbatovich, Jassim Aljuraidan, Lujo Bauer, Anupam Das 0001, Limin Jia 0001
WWW2
2013 Run-Time Enforcement of Information-Flow Properties on Android - (Extended Abstract)
Limin Jia 0001, Jassim Aljuraidan, Elli Fragkaki, Lujo Bauer, Michael Stroucken, Kazuhide Fukushima, Shinsaku Kiyomoto, Yutaka Miyake
ESORICS2