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008			161117s2016 gw | s |||| 0|eng d
020			_a9783319478128
024	7		_a10.1007/978-3-319-47812-8 _2doi
040			_aES-MaUEC
050		4	_aQA76.76.A65 _bZ436 2016 EB
100	1		_aZhang, Mu. _0http://id.loc.gov/authorities/names/nr95027350 _9101797 _0Local
245	1	0	_aAndroid Application Security : _bA Semantics and Context-Aware Approach _cby Mu Zhang, Heng Yin.
260			_aCham, Switzerland _bSpringer _c2016
300			_a1 recurso en línea (XI, 105 p.) _b37 ilustraciones, 29 ilustraciones en color
336			_aTexto (visual) _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	1		_aSpringerBriefs in Computer Science _x2191-5768
505	0		_aIntroduction -- Background -- Semantics-Aware Android Malware Classification -- Automatic Generation of Vulnerability-Specific Patches for Preventing Component Hijacking Attacks -- Efficient and Context-Aware Privacy Leakage Confinement -- Automatic Generation of Security-Centric Descriptions for Android Apps -- Limitation and Future Work -- Conclusion.
520			_aThis SpringerBrief explains the emerging cyber threats that undermine Android application security. It further explores the opportunity to leverage the cutting-edge semantics and context�aware techniques to defend against such threats, including zero-day Android malware, deep software vulnerabilities, privacy breach and insufficient security warnings in app descriptions. The authors begin by introducing the background of the field, explaining the general operating system, programming features, and security mechanisms. The authors capture the semantic-level behavior of mobile applications and use it to reliably detect malware variants and zero-day malware. Next, they propose an automatic patch generation technique to detect and block dangerous information flow. A bytecode rewriting technique is used to confine privacy leakage. User-awareness, a key factor of security risks, is addressed by automatically translating security-related program semantics into natural language descriptions. Frequent behavior mining is used to discover and compress common semantics. As a result, the produced descriptions are security-sensitive, human-understandable and concise. By covering the background, current threats, and future work in this field, the brief is suitable for both professionals in industry and advanced-level students working in mobile security and applications. It is valuable for researchers, as well.
650	0	7	_aSistemas de telecomunicación _2embne _9158073
650		7	_aSeguridad informática _2embne _9158200
700	1		_aYin, Heng. _996672 _0Local
830		0	_aSpringerBriefs in Computer Science _x2191-5768 _0http://id.loc.gov/authorities/names/no2011109396 _9134081
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-47812-8zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783319478128
907			_a.b12982337 _b10-10-17 _c08-03-17
942			_2lcc _cLE
945			_aQA76.76.A65 Z436 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11604177 _z06-04-17
988			_aEBOOK, EBSPRINGER
998			_am _a_alco _a_vill _b - - _cm _dz _e- _feng _ggw _h0