Journal of Computer Science and Technology ›› 2021, Vol. 36 ›› Issue (5): 1212-1228.doi: 10.1007/s11390-021-1196-0
Special Issue: Software Systems
• Regular Paper • Previous Articles
Ling-Yun Situ1,2, Member, CCF, Zhi-Qiang Zuo1,*, Member, CCF, Le Guan3, Member, ACM, IEEE Lin-Zhang Wang1,*, Distinguished Member, CCF, Xuan-Dong Li1, Fellow, CCF Jin Shi2, Member, CCF, and Peng Liu4, Member, ACM, IEEE
|  Miller B P, Fredriksen L, So B. An empirical study of the reliability of UNIX utilities. Communications of the ACM, 1990, 33(12):32-44. DOI:10.1145/96267.96279.
 Li J, Zhao B, Zhang C. Fuzzing:A survey. Cybersecurity, 2018, 1(1):Article No. 6. DOI:10.1186/s42400-018-0002-y.
 Sutton M, Greene A, Amini P. Fuzzing:Brute Force Vulnerability Discovery (1st edition). Addison-Wesley Professional, 2007.
 Chen C, Cui B, Ma J, Wu R, Guo J, Liu W. A systematic review of fuzzing techniques. Computers & Security, 2018, 75:118-137. DOI:10.1016/j.cose.2018.02.002.
 Man`es V J M, Han H S, Han C, Cha S K, Egele M, Schwartz E J, Woo M. The art, science, and engineering of fuzzing:A survey. IEEE Trans. Software Engineering. DOI:10.1109/TSE.2019.2946563.
 Devarajan G. Unraveling SCADA protocols:Using sulley fuzzer. In Proc. the DEF CON 15 Hacking Conf., August 2007.
 Gascon H, Wressnegger C, Yamaguchi F, Arp D, Rieck K. Pulsar:Stateful black-box fuzzing of proprietary network protocols. In Proc. the 11th International Conference on Security and Privacy in Communication Networks, October 2015, pp.330-347. DOI:10.1007/978-3-319-28865-918.
 Ganesh V, Leek T, Rinard M. Taint-based directed whitebox fuzzing. In Proc. the 31st Int. Software Engineering, May 2009, pp.474-484. DOI:10.1109/ICSE.2009.5070546.
 Wang T, Wei T, Gu G, Zou W. TaintScope:A checksumaware directed fuzzing tool for automatic software vulnerability detection. In Proc. the 2010 IEEE Symposium on Security and Privacy, May 2010, pp.497-512. DOI:10.1109/SP.2010.37.
 Stephens N, Grosen J, Salls C, Dutcher A, Wang R, Corbetta J, Shoshitaishvili Y, Kruegel C, Vingna G. Driller:Augmenting fuzzing through selective symbolic execution. In Proc. the 23rd Annual Network and Distributed System Security Symposium, February 2016. DOI:10.14722/ndss.2016.23368.
 Godefroid P, Levin M Y, Molnar D. SAGE:Whitebox fuzzing for security testing. Communications of the ACM, 2012, 55(3):40-44. DOI:10.1145/2093548.2093564.
 Situ L, Wang L, Li X, Guan L, Zhang W, Liu P. Energy distribution matters in greybox fuzzing. In Proc. the 41st Int. Software Engineering:Companion Proceedings, May 2019, pp.270-271. DOI:10.1109/ICSE-Companion.2019.00109.
 B?hme M, Pham V T, Roychoudhury A. Coveragebased greybox fuzzing as Markov chain. IEEE Trans. Software Engineering, 2017, 45(5):489-506. DOI:10.1109/TSE.2017.2785841.
 Pham V T, B?hme M, Santosa A E, Caciulescu A R, Roychoudhury A. Smart greybox fuzzing. IEEE Transactions on Software Engineering. DOI:10.1109/TSE.2019.2941681.
 Du X, Chen B, Li Y, Guo J, Zhou Y, Liu Y, Jiang Y. Leopard:Identifying vulnerable code for vulnerability assessment through program metrics. In Proc. the 41st Int. Software Engineering, May 2019, pp.60-71. DOI:10.1109/ICSE.2019.00024.
 Li Y, Su Z, Wang L, Li L. Steering symbolic execution to less traveled paths. ACM SIGPLAN Notices, 2013, 48(10):19-32. DOI:10.1145/2544173.2509553.
 Wang X, Sun J, Chen Z, Zhang P, Wang J, Lin Y. Towards optimal concolic testing. In Proc. the 40th Int. Conf. Software Engineering, May 2018, pp.291-302. DOI:10.1145/3180155.3180177.
 Inozemtseva L, Holmes R. Coverage is not strongly correlated with test suite effectiveness. In Proc. the 36th Int. Conf. Software Engineering, May 2014, pp.435-445. DOI:10.1145/2568225.2568271.
 Petsios T, Zhao J, Keromytis A D, Jana S. SlowFuzz:Automated domain-independent detection of algorithmic complexity vulnerabilities. In Proc. the 2017 ACM SIGSAC Conference on Computer and Communications Security, October 2017, pp.2155-2168. DOI:10.1145/3133956.3134073.
 Lemieux C, Sen K. FairFuzz:A targeted mutation strategy for increasing greybox fuzz testing coverage. In Proc. the 33rd ACM/IEEE Int. Automated Software Engineering, September 2018, pp.475-485. DOI:10.1145/3238147.3238176.
 B?hme M, Pham V T, Nguyen M D, Roychoudhury A. Directed greybox fuzzing. In Proc. the 2017 ACM SIGSAC Conference on Computer and Communications Security, October 2017, pp.2329-2344. DOI:10.1145/3133956.3134020.
 Gan S, Zhang C, Qin X, Tu X, Li K, Pei Z, Chen Z. CollAFL:Path sensitive fuzzing. In Proc. the 2018 IEEE Symposium on Security and Privacy, May 2018, pp.679-696. DOI:10.1109/SP.2018.00040.
 Chen P, Chen H. Angora:Efficient fuzzing by principled search. In Proc. the 2018 IEEE Symposium on Security and Privacy, May 2018, pp.711-725. DOI:10.1109/SP.2018.00046.
 Dolan-Gavitt B, Hulin P, Kirda E, Lee T, Mambretti A, Robertson W, Ulrich F, Whelan R. LAVA:Large-scale automated vulnerability addition. In Proc. the 2016 IEEE Symposium on Security and Privacy, May 2016, pp.110-121. DOI:10.1109/SP.2016.15.
 Woo M, Cha S K, Gottlieb S, Brumley D. Scheduling blackbox mutational fuzzing. In Proc. the 2013 ACM SIGSAC Conference on Computer & Communications Security, November 2013, pp.511-522. DOI:10.1145/2508859.2516736.
 B?hme M. STADS:Software testing as species discovery. ACM Transactions on Software Engineering and Methodology, 2018, 27(2):Article No. 7. DOI:10.1145/3210309.
 Situ L Y, Wang L Z, Liu Y, Mao B, Li X. Automatic detection and repair recommendation for missing checks. Journal of Computer Science and Technology, 2019, 34(5):972-992. DOI:10.1007/s11390-019-1955-3.
 Rawat S, Jain V, Kumar A, Cojocar L, Giuffrida C, Bos H. VUzzer:Application-aware evolutionary fuzzing. In Proc. the 24th Annual Network and Distributed System Security Symposium, February 26-March 1, 2017. DOI:10.14722/ndss.2017.23404.
 Klees G, Ruef A, Cooper B, Wei S, Hichk M. Evaluating fuzz testing. In Proc. the 2018 ACM SIGSAC Conference on Computer and Communications Security, October 2018, pp.2123-2138. DOI:10.1145/3243734.3243804.
 Wang Y, Jia X, Liu Y, Zeng K, Bao T, Wu D, Su P. Not all coverage measurements are equal:Fuzzing by coverage accounting for input prioritization. In Proc. the 27th Annual Network and Distributed System Security Symposium, February 2020. DOI:10.14722/ndss.2020.24422.
 Chen H, Xue Y, Li Y, Chen B, Xie X, Wu X, Liu Y. Hawkeye:Towards a desired directed grey-box fuzzer. In Proc. the 2018 ACM SIGSAC Conference on Computer and Communications Security, October 2018, pp.2095-2108. DOI:10.1145/3243734.3243849.
 Vargha A, Delaney H D. A critique and improvement of the CL common language effect size statistics of McGraw and Wong. Journal of Educational and Behavioral Statistics, 2000, 25(2):101-132. DOI:10.3102/10769986025002101.
 Arcuri A, Briand L. A hitchhiker's guide to statistical tests for assessing randomized algorithms in software engineering. Software Testing, Verification and Reliability, 2014, 24(3):219-250. DOI:10.1002/stvr.1486.
 Li Y, Chen B, Chandramohan M, Lin S W, Liu Y, Tiu A. Steelix:Program-state based binary fuzzing. In Proc. the 11th Joint Meeting on Foundations of Software Engineering, August 2017, pp.627-637. DOI:10.1145/3106237.3106295.
 Serebryany K, Bruening D, Potapenko A, Vyukov D. AddressSanitizer:A fast address sanity checker. In Proc. the 2012 USENIX Annual Technical Conference, June 2012, pp.309-318.
 Stepanov E, Serebryany K. MemorySanitizer:Fast detector of uninitialized memory use in C++. In Proc. the 13th Annual IEEE/ACM International Symposium on Code Generation and Optimization, February 2015, pp.46-55. DOI:10.1109/CGO.2015.7054186.
 Serebryany K, Iskhodzhanov T. ThreadSanitizer:Data race detection in practice. In Proc. the Workshop on Binary Instrumentation and Applications, December 2009, pp.62-71. DOI:10.1145/1791194.1791203.
 Li Y, Xue Y, Chen H, Wu, X, Zhang C, Xie X, Wang H, Liu Y. Cerebro:Context-aware adaptive fuzzing for effective vulnerability detection. In Proc. the 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, August 2019, pp.533-544. DOI:10.1145/3338906.3338975.
|||Gen Zhang, Peng-Fei Wang, Tai Yue, Xu Zhou, Kai Lu. MEBS: Uncovering Memory Life-Cycle Bugs in Operating System Kernels [J]. Journal of Computer Science and Technology, 2021, 36(6): 1248-1268.|
|||Ling-Yun Situ, Student Member, CCF, Lin-Zhang Wang, Distinguished Member, CCF, Yang Liu, Member, ACM, IEEE, Bing Mao, Xuan-Dong Li, Fellow, CCF. Automatic Detection and Repair Recommendation for Missing Checks [J]. Journal of Computer Science and Technology, 2019, 34(5): 972-992.|