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X-ORIGINAL-URL:https://sal.cs.unibuc.ro
X-WR-CALDESC:Events for SECURITY & APPLIED LOGIC
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BEGIN:VEVENT
DTSTART;TZID=UTC:20190530T170000
DTEND;TZID=UTC:20190530T180000
DTSTAMP:20260620T104727
CREATED:20190527T112423Z
LAST-MODIFIED:20190528T055503Z
UID:418-1559235600-1559239200@sal.cs.unibuc.ro
SUMMARY:Dynamic Code Analysis
DESCRIPTION:Speaker:  Radu Velea (BitDefender) \n\nAbstract: Static code analysis methods have the advantage of providing deterministic and reliable results. Malware has evolved beyond the point where simple pattern matching algorithms or signatures can provide adequate levels of protection. To respond to new threats we have to look at other hidden aspects such as execution behavior and fight evasive techniques by performing dynamic code analysis. This presentation discusses how to do this using runtime emulation and describes the existing challenges for the most popular architectures and executable file formats.
URL:https://sal.cs.unibuc.ro/event/dynamic-code-analysis/
CATEGORIES:Security Seminar,Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20190418T083000
DTEND;TZID=UTC:20190418T100000
DTSTAMP:20260620T104727
CREATED:20190321T112305Z
LAST-MODIFIED:20190415T085625Z
UID:389-1555576200-1555581600@sal.cs.unibuc.ro
SUMMARY:Anti-Malware Machine Learning
DESCRIPTION:Speaker:  Andra Băltoiu (University of Bucharest) \n\nAbstract: In a previous seminar\, we introduced Dictionary Learning (DL)\, a machine learning method capable of handling the requirements of IoT-related tasks\, motivated by its reduced computational complexity\, theoretical guarantees and its applicability to continuous retraining contexts. We now discuss the task of training different machine learning and DL models in order to identify malware and study the adaptability of the resulting models to new types of malware.
URL:https://sal.cs.unibuc.ro/event/anti-malware-machine-learning/
LOCATION:Facultatea de Matematica si Informatica\, sala 202
CATEGORIES:Security Seminar,Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20190404T090000
DTEND;TZID=Europe/Helsinki:20190404T100000
DTSTAMP:20260620T104727
CREATED:20190321T112311Z
LAST-MODIFIED:20190401T054857Z
UID:386-1554368400-1554372000@sal.cs.unibuc.ro
SUMMARY:How to find bugs in your (x86) code: Applications that use RIVER
DESCRIPTION:Speaker:  Bogdan Ghimiș (University of Bucharest) \n\nAbstract: From a security perspective\, discovering bugs before shipping a product is crucial. This presentation will be about RIVER\, a tool that can help us to inspect x86 binary code. This lecture will encompass two papers describing methods of finding problematic inputs: a genetic algorithm and a method using taint analysis. The genetic algorithm is used in conjunction with Apache Spark – an engine used for big data and distributed computing – to determine the inputs that provide the best code coverage. The second method uses taint analysis in order to infer which parts of the input are used by the program to determine a model with which we can generate new inputs that adhere to a certain format and that allows us to get better code coverage.
URL:https://sal.cs.unibuc.ro/event/how-to-find-bugs-in-your-x86-code-applications-that-use-river/
LOCATION:Facultatea de Matematica si Informatica\, sala 202
CATEGORIES:Security Seminar,Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20190404T083000
DTEND;TZID=Europe/Helsinki:20190404T090000
DTSTAMP:20260620T104727
CREATED:20190401T054801Z
LAST-MODIFIED:20190401T054843Z
UID:394-1554366600-1554368400@sal.cs.unibuc.ro
SUMMARY:Verifying security protocols using BAN logic - Part 2
DESCRIPTION:Speaker: Alexandru Dragomir (University of Bucharest) \n\nAbstract: Epistemic logics – logics aimed at reasoning about knowledge and belief – are widely considered to be suitable for modelling\, analyzing and predicting vulnerabilities of security protocols. One of the first and most discussed logical approaches to the problem of verifying security protocols is the one proposed in BAN logic (Burrows\, Abadi & Needham 1989)\, a many-sorted epistemic logic used for its intuitive and compelling set of inference rules devised for reasoning about an agent’s beliefs\, trust and message exchange. I will assume knowledge of the basics of BAN logic and focus on presenting and analyzing the Needham-Schroeder and Kerberos protocols using this particular logical framework. Consequently\, I will highlight some of the pros and cons of using BAN logic in verifying security protocols.
URL:https://sal.cs.unibuc.ro/event/verifying-security-protocols-using-ban-logic-part-2/
LOCATION:Facultatea de Matematica si Informatica\, sala 202
CATEGORIES:Security Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20190321T083000
DTEND;TZID=UTC:20190321T100000
DTSTAMP:20260620T104727
CREATED:20190318T053703Z
LAST-MODIFIED:20190318T053703Z
UID:381-1553157000-1553162400@sal.cs.unibuc.ro
SUMMARY:Verifying security protocols using BAN logic
DESCRIPTION:Speaker:   Alexandru Dragomir (University of Bucharest)  \n\nAbstract: Epistemic logics – logics aimed at reasoning about knowledge and belief – are widely considered to be suitable for modelling\, analyzing and predicting vulnerabilities of security protocols. One of the first and most discussed logical approaches to the problem of verifying security protocols is the one proposed in BAN logic (Burrows\, Abadi & Needham 1989)\, a many-sorted epistemic logic used for its intuitive and compelling set of inference rules devised for reasoning about an agent’s beliefs\, trust and message exchange. My presentation will focus on (1) briefly presenting the language and inference rules of BAN logic\, (2) offering a presentation of the Otway-Rees\, Needham-Schroeder and Kerberos protocols\, and (3) analysing the aforementioned protocols using BAN logic.
URL:https://sal.cs.unibuc.ro/event/verifying-security-protocols-using-ban-logic/
LOCATION:Facultatea de Matematica si Informatica\, sala 202
CATEGORIES:Security Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20190307T083000
DTEND;TZID=UTC:20190307T100000
DTSTAMP:20260620T104727
CREATED:20190304T152652Z
LAST-MODIFIED:20190304T153038Z
UID:372-1551947400-1551952800@sal.cs.unibuc.ro
SUMMARY:Identificarea metodelor de automatizare a etapelor de analiza cuprinse in cadrul procedurilor de Securitate/ raspuns la incidente cibernetice utilizate in cadrul unui SOC
DESCRIPTION:Speaker:  Alin Puncioiu (Secureworks) \n\nAbstract:   In cadrul prezentarii vom prezenta cateva fluxuri de lucru executate manual in momentul de fata pe parcursul fazelor de raspuns la incidente cibernetice.
URL:https://sal.cs.unibuc.ro/event/identificarea-metodelor-de-automatizare-a-etapelor-de-analiza-cuprinse-in-cadrul-procedurilor-de-securitate-raspuns-la-incidente-cibernetice-utilizate-in-cadrul-unui-soc/
LOCATION:Facultatea de Matematica si Informatica\, sala 202
CATEGORIES:Security Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Bucharest:20190221T083000
DTEND;TZID=Europe/Bucharest:20190221T223000
DTSTAMP:20260620T104727
CREATED:20190219T114552Z
LAST-MODIFIED:20190219T114943Z
UID:353-1550737800-1550788200@sal.cs.unibuc.ro
SUMMARY:Security via user behavior
DESCRIPTION:Speaker: Cezara Benegui (University of Bucharest). \n\nAbstract: The presentation will be based on earlier research done on user behaviour understanding and detection\, learning it using machine learning and artificial intelligence and further information about how user behaviour can be used to improve the security of software applications. Also\, the presentation will include information about biometrics like keystroke timings\, mouse dynamics\, scrolling and tapping behaviour\, software usage behaviour\, what is their importance and how can they be used for anomaly/intrusion detection or for identifying and targeting users on a wide variety of other applications.
URL:https://sal.cs.unibuc.ro/event/security-via-user-behavior/
LOCATION:Facultatea de Matematica si Informatica\, sala 202
CATEGORIES:Security Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Bucharest:20190221T083000
DTEND;TZID=Europe/Bucharest:20190221T103000
DTSTAMP:20260620T104727
CREATED:20190219T114757Z
LAST-MODIFIED:20190219T114912Z
UID:355-1550737800-1550745000@sal.cs.unibuc.ro
SUMMARY:Security aspects for blockchain
DESCRIPTION:Speaker: Andreea Elena Panait (University of Bucharest). \n\nAbstract: The presentation will include introductive notions about blockchain\, the main types of attacks on the blockchain network and possible countermeasures\, attack examples that occurred during the years\, blockchain implementation examples and possible domains where blockchain can be used.
URL:https://sal.cs.unibuc.ro/event/security-aspects-for-blockchain/
LOCATION:Facultatea de Matematica si Informatica\, sala 202
CATEGORIES:Security Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20190207T083000
DTEND;TZID=UTC:20190207T100000
DTSTAMP:20260620T104727
CREATED:20190205T043140Z
LAST-MODIFIED:20190205T055045Z
UID:287-1549528200-1549533600@sal.cs.unibuc.ro
SUMMARY:Verification of strategic properties for the Prêt-À-Voter protocol using Tamarin  (joint work with Wojtek Jamroga and Damian Kurpiewski)
DESCRIPTION:Speaker:   Catalin Dima (Université Paris-Est Créteil) \n\nAbstract: \nWe report on the verification of anonymity and coercion-freeness properties of the Prêt-À-Voter electronic voting protocol using the Tamarin tool for symbolic verification of security properties. Our approach is to generate many models corresponding with each choice of attacker actions (i.e. attacker strategies) and check\, on each model\, a “trace equivalence” lemma modeling the fact that the attacker does not distinguish between a trace in which the coerced voter has obeyed the orders\, from a trace in which the voter has ignored the coercion. This seems to be the only approach available in Tamarin for modeling epistemic knowledge\, a notion necessary for encoding anonymity. The results are far from encouraging since many false negatives or positives are obtained\, necessitating model adaptations which cannot be done automatically\, and when correct results are obtained the running times are prohibitive. Our conclusions point the need for theory and tool improvement in which equational and rewriting logics be combined with strategy logics. \n  \n 
URL:https://sal.cs.unibuc.ro/event/verification-of-strategic-properties-for-the-pret-a-voter-protocol-using-tamarin-joint-work-with-wojtek-jamroga-and-damian-kurpiewski/
LOCATION:Facultatea de Matematica si Informatica\, sala Google
CATEGORIES:Security Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20190117T083000
DTEND;TZID=UTC:20190117T100000
DTSTAMP:20260620T104727
CREATED:20190114T100137Z
LAST-MODIFIED:20190114T100208Z
UID:279-1547713800-1547719200@sal.cs.unibuc.ro
SUMMARY:Making Obsolete Malware Viable with Packing
DESCRIPTION:Speaker:  Mihai Stancu \n\nAbstract: \nThe security trend today is to stop security threats even before they\narrive on the target machine or system. \nWith that in mind we will explore\, what packers are and what they do to\ntransform original malicious code in into something that is much harder to\nconfidently mark as a threat. \nThis talk will be focused on executables in the PE format running on the\nWindows platform and during the presentation we will form a basic\nunderstanding of the executable structure\, packing technique\, and other\nanti-dumping and anti-debug techniques work to protect and run the original\npayload.
URL:https://sal.cs.unibuc.ro/event/making-obsolete-malware-viable-with-packing/
LOCATION:Facultatea de Matematica si Informatica\, sala 202
CATEGORIES:Security Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20181213T083000
DTEND;TZID=UTC:20181213T100000
DTSTAMP:20260620T104727
CREATED:20181209T060341Z
LAST-MODIFIED:20181209T061334Z
UID:226-1544689800-1544695200@sal.cs.unibuc.ro
SUMMARY:How to find bugs in your (x86) code; RIVER tool - current state and future
DESCRIPTION:Speaker: Ciprian Păduraru \n\nAbstract: \nEven with access to the source code of a program\, it is not easy to reverse engineer a program to find inputs for specific programs. This presentation starts with a practical walkthrough over classic methods for automating software testing\, such as fuzz testing\, symbolic and concolic execution. Then\, a tool named RIVER is presented in its current state\, together with the technical plans for improving it to achieve at least the same features set with similar tools such as KLEE. By using its reversible execution capabilities\, and advanced tracing support\, we think that by putting efforts in the implementation plan described in the presentation\, we can obtain improved test coverage in relation to resources consumed. Research ideas for various parts including RIVER symbolic/concolic execution\, tracers improvements\, and combining these techniques with machine learning will be presented.
URL:https://sal.cs.unibuc.ro/event/how-to-find-bugs-in-your-x86-code-river-tool-current-state-and-future/
LOCATION:Facultatea de Matematica si Informatica\, sala 202
CATEGORIES:Security Seminar,Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Bucharest:20181129T083000
DTEND;TZID=Europe/Bucharest:20181129T103000
DTSTAMP:20260620T104727
CREATED:20181126T105140Z
LAST-MODIFIED:20181126T111443Z
UID:200-1543480200-1543487400@sal.cs.unibuc.ro
SUMMARY:Machine Learning Framework for Security Applications
DESCRIPTION:Speaker: Paul Irofti (University of Bucharest). \n\nMachine learning helps us tackle large and apparently intractable optimization problems. Even though neural networks are by far the most popular choice in the field\, we focus on dictionary learning (DL) for sparse representations (SR) instead. Our preference is motivated by the much simpler model that provides faster methods with a solid theoretical background\, understanding and interpretability. \nIn fact it has been recently shown that the forward pass inside neural networks is equivalent to performing sparse representation. Thus performing dictionary learning can be interpreted as a backward pass on a much simpler and smaller model. This relaxation comes with a small performance hit in exchange for the large reduction in algorithm complexity. \nOur talk will focus on adapting DL to Big Data conditions\, DL classification and the problem of malware identification\,  nomaly detection\, online DL and Internet of Things applications.
URL:https://sal.cs.unibuc.ro/event/machine-learning-framework-for-security-applications/
LOCATION:Facultatea de Matematica si Informatica\, sala 202
CATEGORIES:Security Seminar,Seminar
END:VEVENT
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