Exploring the use of deprecated PHP releases in the wild internet: Still a LAMP issue?
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
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Exploring the use of deprecated PHP releases in the wild internet : Still a LAMP issue? / Ruohonen, Jukka; Hyrynsalmi, Sami; Leppänen, Ville.
6th International Conference on Web Intelligence, Mining and Semantics, WIMS 2016. Association for Computing Machinery, 2016. 26.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
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TY - GEN
T1 - Exploring the use of deprecated PHP releases in the wild internet
T2 - Still a LAMP issue?
AU - Ruohonen, Jukka
AU - Hyrynsalmi, Sami
AU - Leppänen, Ville
PY - 2016/6/13
Y1 - 2016/6/13
N2 - Many web sites utilize deprecated software products that are no longer maintained by the associated software producers. This paper explores the question of whether an existing big data collection can be used to predict the likelihood of deprecated PHP releases based on different abstract components in modern web deployment stacks. Building on web intelligence, software security, and data-based industry rationales, the question is examined by focusing on the most popular domains in the contemporary web-facing Internet. Logistic regression is used for classification. Although statistical classification performance is modest, the results indicate that deprecated PHP releases are associated with Linux and other open source software components. Geographical variation is small. Besides these results, the paper contributes to the web intelligence research by evaluating the feasibility of existing big data collections for mass-scale fingerprinting.
AB - Many web sites utilize deprecated software products that are no longer maintained by the associated software producers. This paper explores the question of whether an existing big data collection can be used to predict the likelihood of deprecated PHP releases based on different abstract components in modern web deployment stacks. Building on web intelligence, software security, and data-based industry rationales, the question is examined by focusing on the most popular domains in the contemporary web-facing Internet. Logistic regression is used for classification. Although statistical classification performance is modest, the results indicate that deprecated PHP releases are associated with Linux and other open source software components. Geographical variation is small. Besides these results, the paper contributes to the web intelligence research by evaluating the feasibility of existing big data collections for mass-scale fingerprinting.
KW - Cyber security
KW - Patching
KW - Release engineering
KW - Web crawling
U2 - 10.1145/2912845.2912851
DO - 10.1145/2912845.2912851
M3 - Conference contribution
BT - 6th International Conference on Web Intelligence, Mining and Semantics, WIMS 2016
PB - Association for Computing Machinery
ER -