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Shahpar Khan

dblp:333/8447 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2024
—ORCID · unresolved

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

Software engineering, systems software and programming languages · 1 · 1 since 2021

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.

Software engineering, system software, and programming languages
1 paper
Software maintenance and evolution · 62% Empirical software engineering · 38%

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

TopicWeightPapersLastEvidence papers
Software maintenance and evolution
software ecosystems
0.812024
A Longitudinal Analysis Of Replicas in the Wild Wild Android · ASE 2024
Empirical software engineering › software engineering research methodology
longitudinal study
0.212024
A Longitudinal Analysis Of Replicas in the Wild Wild Android · ASE 2024
Empirical software engineering
mining software repositories
0.212024
A Longitudinal Analysis Of Replicas in the Wild Wild Android · ASE 2024

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

code clone analysis · 0.8
YearPublicationVenuePosition
2024 A Longitudinal Analysis Of Replicas in the Wild Wild Android
abstract
In this work, we report and study a phenomenon that contributes to Android API sprawls. We observe that OEM developers introduce private APIs that are composed by copy-paste-editing full or partial code from AOSP and other OEM APIs - we call such APIs, Replicas.
Syeda Mashal Abbas Zaidi, Shahpar Khan, Parjanya Vyas, Yousra Aafer
ASE2
2022 PACED: Provenance-based Automated Container Escape Detection
abstract
The security of container-based microservices relies heavily on the isolation of operating system resources that is provided by namespaces. However, vulnerabilities exist in the isolation of containers that may be exploited by attackers to gain access to the host. These are commonly referred to as container escape attacks. While prior work has identified vulnerabilities in namespace isolation, no general container escape detection and warning system has been presented. We present Paced, a novel, realtime system to detect container-escape attacks. We define what constitutes a cross-namespace event and how such events can be used to detect a container escape attack. We develop a provenance-based approach to isolate cross-namespace events and propose a rule—privileged_flow—to detect attacks on Docker and Kubernetes environments. We evaluate our detection method on a suite of contemporary CVEs with container escape exploits, bad container configurations, and benchmarks. Paced achieves near-perfect accuracy with no false negatives. We release our implementation and datasets as free, open-source software.
Mashal Abbas, Shahpar Khan, Abdul Monum, Fareed Zaffar, Rashid Tahir, David M. Eyers, Hassaan Irshad, Ashish Gehani, Vinod Yegneswaran, Thomas Pasquier
IC2E2