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On Locating Malicious Code in Piggybacked Android Apps

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Journal of Computer Science & Technology 2017年第6期32卷 1108-1124页

作者： Li Li Daoyuan Li Tegawende F. Bissyande jacques klein Haipeng Cai David Lo Yves Le Traon Interdisciplinary Centre for Security Reliability and Trust University of Luxembourg Luxembourg 2721 Luxembourg School of Electrical Engineering and Computer Science Washington State University Washington WA 99163 U.S.A. School of Information Systems Singapore Management University Singapore 178902 Singapore

To devise efficient approaches and tools for detecting malicious packages in the Android ecosystem, researchers are increasingly required to have a deep understanding of malware. There is thus a need to provide a framework for dissecting malware and locating malicious program fragments within app code in order to build a comprehensive dataset of malicious samples. Towards addressing this need, we propose in this work a tool-based approach called HookRanker, which provides ranked lists of potentially malicious packages based on the way malware behaviour code is triggered. With experiments on a ground truth of piggybacked apps, we are able to automatically locate the malicious packages from piggybacked Android apps with an accuracy@5 of 83.6% for such packages that are triggered through method invocations and an accuracy@5 of 82.2% for such packages that are triggered independently.

关键词： Android piggybacked app malicious code HookRanker

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基于指针神经网络的细粒度缺陷定位

软件学报 2024年第4期35卷 1841-1860页

作者：王尚文刘逵林博黎立 jacques klein TegawendéFrançois BISSYANDÉ 毛晓光国防科技大学计算机学院湖南长沙410073 南京航空航天大学计算机科学与技术学院江苏南京210016 Monash University Clayton VIC 3800Australia University of Luxembourg Luxembourg L-1359Luxembourg

软件缺陷定位是指找出与软件失效相关的程序元素.当前的缺陷定位技术仅能产生函数级或语句级的定位结果.这种粗粒度的定位结果会影响人工调试程序和软件缺陷自动修复的效率和效果.专注于细粒度地识别导致软件缺陷的具体代码令牌,为代码... 详细信息

软件缺陷定位是指找出与软件失效相关的程序元素.当前的缺陷定位技术仅能产生函数级或语句级的定位结果.这种粗粒度的定位结果会影响人工调试程序和软件缺陷自动修复的效率和效果.专注于细粒度地识别导致软件缺陷的具体代码令牌,为代码令牌建立抽象语法树路径,提出基于指针神经网络的细粒度缺陷定位模型来预测出具体的缺陷代码令牌和修复该令牌的具体操作行为.开源项目中的大量缺陷补丁数据集包含大量可供训练的数据,且基于抽象语法树构建的路径可以有效捕获程序结构信息.实验结果表明所训练出的模型能够准确预测缺陷代码令牌并显著优于基于统计的与基于机器学习的基线方法.另外,为了验证细粒度的缺陷定位结果可以贡献于缺陷自动修复,基于细粒度的缺陷定位结果设计两种程序修复流程,即代码补全工具去预测正确令牌的方法和启发式规则寻找合适代码修复元素的方法,结果表明两种方法都能有效解决软件缺陷自动修复中的过拟合问题.

关键词：缺陷定位缺陷自动修复神经网络

EGFR Expression Is Unreliable to Decide for Cetuximab Treatment in Patients with Metastatic Colorectal Cancer: Results from “ERBITUX-OUEST”

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Open Journal of Internal Medicine 2016年第2期6卷 56-67页

作者： Jean-Philippe Metges Erick Gamelin Alain Volant Olivier Capitain Jean-François Ramée Jean-Luc Raoul Jean-Yves Douillard Pierre-Luc Etienne Isabelle Cumin Olivier Dupuis Roger Faroux Marie-Aude Coulon Philippe Deguiral Karine Bideau Nacr Eddine Achour Alain Gourlaouen Corinne Alleaume Annie Wdowik Laurent Miglianico Yann Touchefeu Vincent klein Alain Penchet Ludovic Rosenfeld Daniel Martin Claire Stampfli Jean-jacques Auger Alain Bargain Murielle Broyer-Petit Jérome Chettrit Louis-Rémi De Ybarlucea Serge Eloit Pierre Marie Girardot Nathalie Heresbach Christian Laboisse Eric Lavoine Gilles Lemasson Claire Magois Sophie Michalak Norbert Padilla Joseph Politis Frédéric Staroz Bruno Turlin Arnaud Uguen Viorel Vasiliu Véronique Verriele Fanny Marhuenda Delphine Déniel Lagadec Christian Riché Françoise Grudé Observatoire dédié au Cancer des régions Bretagne et Pays de la Loire France Centre Hospitalier Régional Universitaire (CHRU) Brest France Institut de Cancérologie de l’Ouest (ICO) Paul Papin Angers France Centre Catherine de Sienne Nantes France CRLCC Eugène Marquis Rennes France ICO René Gauducheau Nantes France Centre CARIO-HCPA Plérin France Centre Hospitalier Bretagne Sud (CHBS) Lorient France Clinique Victor Hugo Le Mans France Centre Hospitalier Départemental (CHD) La Roche-sur-Yon France CH Le Mans France Clinique Mutualiste de l’Estuaire Saint-Nazaire France CHIC Quimper France Clinique Pasteur Lanroze Brest France CH MORLAIX France CH Saint-Brieuc France CHBA Vannes France CHP Saint-Grégoire France CHU Nantes France Hopital Privé Océane Vannes France Clinique Saint-Michel et Sainte-Anne Quimper France Pole Santé Sarthe et Loire La Flèche France Polyclinique du Maine Laval France Polyclinique Sud Quimper France CH Laval France Polyclinique Cesson Sévigné France Laboratoire d’anatomie et de cytologie pathologiques Cholet France Cabinet d’anatomie et de cytologie pathologiques Saint-Malo France Laboratoire d’anatomie et de cytologie pathologiques Lorient France Institut d’histopathologie Nantes France Laboratoire de Pathologie Médicale Laval France ARMOR Pathologie Plérin France Laboratoire d’anatomie et de cytologie pathologiques Rennes France Laboratoire d’anatomie et de cytologie pathologiques Angers France Laboratoire Analyses Biologie Glasgow Brest France CHU Angers France Centre d’anatomie et de cytologie pathologiques Le Mans France Cabinet d’anatomie et de cytologie pathologiques Vannes France Laboratoire d’anatomie et de cytologie pathologiques Quimper France CHU Rennes France

Purpose: Although controversial, assessment of epidermal growth factor receptor (EGFR) expression is required for the approved indications of Cetuximab in metastatic colorectal cancer (mCRC). With the objective of improving patient selection, “ERBITUX-OUEST” study aimed at analyzing EGFR status in a large cohort of mCRC patients who received cetuximab without preliminary EGFR screening, and assessing the correlation between EGFR status and response to treatment retrospectively. Patients and methods: 332 patients treated with Irinotecan Cetuximab based regimen after progression on irinotecan or oxaliplatin therapy were included. EGFR status was assessed using three available immunohistochemistry (IHC) tests and in situ hybridization in case of negativity. Clinical outcomes of EGFR-positive and EGFR-non-detected (or considered as negative with at least one test) patients were compared. Results: Of the 332 samples centrally screened, 194 were classified as full-positive (i.e., EGFR-positive for all three tests), 86 as full-negative, and 52 as discordant. One third of the 131 negative samples with FDA approved test should be reclassified as positive with at least one of the two others tests. Regarding results from FDA approved test only, neither objective response rate (ORR), progression-free survival (PFS) nor overall survival (OS) differed significantly between EGFR-negative and EGFR-positive patients (P = 0.788, 0.326 and 0.888, respectively). Similarly, comparison of full-negative to other groups did not show any significant difference in terms of ORR (P = 0.507), PFS (P = 0.222) or OS (P = 0.686). Conclusion: These data strongly argue against mCRC patients selection for Cetuximab treatment based on EGFR expression as measured by currently available IHC technics.

关键词： Metastatic Colorectal Cancer Cetuximab EGFR Expression

Performance and calibration of quark/gluon-jet taggers using 140 fb^(-1) of pp collisions at √s=13 TeV with the ATLAS detector

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Chinese Physics C 2024年第2期48卷 1-25页

作者： G. Aad B. Abbott K. Abeling N.J. Abicht S.H. Abidi A. Aboulhorma H. Abramowicz H. Abreu Y. Abulaiti B.S. Acharya C. Adam Bourdarios L. Adamczyk S.V. Addepalli M.J. Addison J. Adelman A. Adiguzel T. Adye A.A. Affolder Y. Afik M.N. Agaras J. Agarwala A. Aggarwal C. Agheorghiesei A. Ahmad F. Ahmadov W.S. Ahmed S. Ahuja X. Ai G. Aielli A. Aikot M. Ait Tamlihat B. Aitbenchikh I. Aizenberg M. Akbiyik T.P.A. Åkesson A.V. Akimov D. Akiyama N.N. Akolkar K. Al Khoury G.L. Alberghi J. Albert P. Albicocco G.L. Albouy S. Alderweireldt M. Aleksa I.N. Aleksandrov C. Alexa T. Alexopoulos F. Alfonsi M. Algren M. Alhroob B. Ali H.M.J. Ali S. Ali S.W. Alibocus M. Aliev G. Alimonti W. Alkakhi C. Allaire B.M.M. Allbrooke J.F. Allen C.A. Allendes Flores P.P. Allport A. Aloisio F. Alonso C. Alpigiani M. Alvarez Estevez A. Alvarez Fernandez M. Alves Cardoso M.G. Alviggi M. Aly Y. Amaral Coutinho A. Ambler C. Amelung M. Amerl C.G. Ames D. Amidei S.P. Amor Dos Santos K.R. Amos V. Ananiev C. Anastopoulos T. Andeen J.K. Anders S.Y. Andrean A. Andreazza S. Angelidakis A. Angerami A.V. Anisenkov A. Annovi C. Antel M.T. Anthony E. Antipov M. Antonelli F. Anulli M. Aoki T. Aoki J.A. Aparisi Pozo M.A. Aparo L. Aperio Bella C. Appelt A. Apyan N. Aranzabal S.J. Arbiol Val C. Arcangeletti A.T.H. Arce E. Arena J-F. Arguin S. Argyropoulos J.-H. Arling O. Arnaez H. Arnold G. Artoni H. Asada K. Asai S. Asai N.A. Asbah J. Assahsah K. Assamagan R. Astalos S. Atashi R.J. Atkin M. Atkinson H. Atmani P.A. Atmasiddha K. Augsten S. Auricchio A.D. Auriol V.A. Austrup G. Avolio K. Axiotis G. Azuelos D. Babal H. Bachacou K. Bachas A. Bachiu F. Backman A. Badea P. Bagnaia M. Bahmani A.J. Bailey V.R. Bailey J.T. Baines L. Baines O.K. Baker E. Bakos D. Bakshi Gupta V. Balakrishnan R. Balasubramanian E.M. Baldin P. Balek E. Ballabene F. Balli L.M. Baltes W.K. Balunas J. Balz E. Banas M. Bandieramonte A. Bandyopadhyay S. Bansal L. Barak M. Barakat E.L. Barberio D. Barberis M. Barbero M.Z. Barel K.N. Barends T. Barillari M-S. Barisits T. Barklow P. Baron D.A. Baron Mo The ATLAS Collaboration

The identification of jets originating from quarks and gluons,often referred to as quark/gluon tagging,plays an important role in various analyses performed at the Large Hadron Collider,as Standard Model measurements and searches for new particles decaying to quarks often rely on suppressing a large gluon-induced *** paper describes the measurement of the efficiencies of quark/gluon taggers developed within the ATLAS Collaboration,using √s=13 TeV proton–proton collision data with an integrated luminosity of 140 fb^(-1) collected by the ATLAS *** taggers with high performances in rejecting jets from gluon over jets from quarks are studied:one tagger is based on requirements on the number of inner-detector tracks associated with the jet,and the other combines several jet substructure observables using a boosted decision tree.A method is established to determine the quark/gluon fraction in data,by using quark/gluon-enriched subsamples defined by the jet *** in tagging efficiency between data and simulation are provided for jets with transverse momentum between 500 GeV and 2 TeV and for multiple tagger working points.

关键词： ATLAS JET QUARK GLUON TAGGING