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Free, timed forensic mock tests for NFSU FACT, UGC-NET and university entrances. Instant scoring, per-question explanations and a topic breakdown after every attempt.
This mock test covers two interlocking pillars of Unit VIII of the UGC-NET Forensic Science Paper II syllabus: the science of speaker comparison and the Indian legal framework for admitting voice recordings in court. Questions probe the aural-spectrographic method (Tosi 1971 MSU study, narrow-band vs wide-band spectrograms, NAS 1979 critique), the evolution of automatic speaker recognition from GMM-UBM (Reynolds 2000) through i-vector (Dehak 2011) and x-vector (Snyder 2018) to deep speaker embeddings (d-vector), closed-set vs open-set identification tasks, the 1:N vs 1:1 distinction, the Bayesian likelihood ratio (LR) framework per ENFSI and IAFPA guidelines, and forensic casework involving tapped calls, ransom calls, and threat calls intercepted under Section 5(2) of the Indian Telegraph Act, 1885. The Indian law strand runs through the real judgments that govern this area: Selvi v State of Karnataka (2010) 7 SCC 263 on Article 20(3) and Article 21 bars to involuntary testimonial compulsion; Ritesh Sinha v State of UP (2019) 8 SCC 1 on the Constitution Bench clarification of magistrate power to compel voice samples; State of Bombay v Kathi Kalu Oghad (1961) 3 SCR 10 on the testimonial vs non-testimonial distinction; Anvar P.V. v P.K. Basheer (2014) 10 SCC 473 on the mandatory Section 65B certificate (now Section 63 BSA 2023); and Arjun Panditrao Khotkar (2020) 7 SCC 1 overruling the Shafhi Mohammad relaxation. Expert admissibility under Section 45 IEA 1872 (now Section 39 BSA 2023), CFSL audio-forensics practice at Hyderabad, Chandigarh, and Kolkata, and the Daubert vs Frye contrast for comparative context round out the coverage. Topics covered: - Tosi 1971 aural-spectrographic method, NAS 1979 critique, narrow-band vs wide-band spectrograms - GMM-UBM (Reynolds 2000), i-vector (Dehak 2011), x-vector (Snyder 2018), d-vector deep embeddings - MFCCs and vocal tract encoding; closed-set vs open-set ID; speaker ID (1:N) vs verification (1:1) - Bayesian LR framework: P(E|Hp)/P(E|Hd); ENFSI verbal equivalence scale; IAFPA validation gate - Selvi v Karnataka (2010): Article 20(3)+21, testimonial vs non-testimonial compulsion - Ritesh Sinha v UP (2019): magistrate implied power; voice sample as non-testimonial - Kathi Kalu Oghad (1961), Anvar P.V. (2014), Arjun Panditrao (2020): Section 63 BSA certificate - Section 63 BSA 2023 / IEA 65B certificate; Telegraph Act Section 5(2); Daubert vs Frye Allow 30 minutes.
This mock test covers the forensic science of biometric Presentation Attack Detection (PAD) -- the discipline of determining whether a biometric sample submitted to a sensor is from a live, genuine user or from a spoof artefact (Presentation Attack Instrument, PAI). Topics span the full PAD standards ecosystem (ISO/IEC 30107-1, 30107-2, 30107-3), fingerprint spoofing materials (gelatin gummy fingers from the landmark Matsumoto 2002 study, latex, silicone, wood glue PVA), iris spoofing (printed contact lenses, video replay, prosthetic eyes), face spoofing (printed photos, video replay, 3D masks, deepfake injection attacks), voice spoofing (replay attacks, text-to-speech synthesis, voice conversion, deepfake audio), and liveness detection methods (eye blink challenge-response, rPPG pulse detection, fingerprint sweat pore analysis, LBP texture analysis, deep CNN feature extraction). PAD error metrics -- APCER (Attack Presentation Classification Error Rate), BPCER (Bona-fide Presentation Classification Error Rate), and ACER (Average Classification Error Rate) as defined in ISO/IEC 30107-3 -- are tested with precision, as are multispectral imaging principles and challenge-response liveness limitations against real-time deepfakes. Indian and benchmark context is directly integrated: UIDAI's Aadhaar Registered Device (RD) framework mandating on-device fingerprint and iris liveness detection (AUA/KUA circular, 2018) is examined, along with CDAC biometric research contributions. The test draws on the ASVspoof challenge series (2015, 2017, 2019) for voice anti-spoofing benchmarks and the LivDet competition series (2009 onwards) for fingerprint liveness detection evaluation protocols and PAI material categories (gelatine, latex, silicone, wood glue). Topics covered: - ISO/IEC 30107-1/2/3 framework, vocabulary, and testing standards - APCER, BPCER, ACER -- definitions, error directions, and threshold trade-offs - Fingerprint spoofing: Matsumoto gummy finger (gelatine), latex, silicone, wood glue (PVA) - Iris spoofing: printed contact lens, video replay, challenge-response pupil dilation - Face spoofing: Replay-Attack database, 3D masks, Apple Face ID structured light - Voice spoofing: ASVspoof 2015/2017/2019 LA vs PA tracks, voice conversion artefacts - Liveness detection: rPPG pulse, sweat pore, LBP micro-texture, multispectral subsurface - UIDAI Aadhaar RD liveness mandate and AUA/KUA compliance requirements Designed for UGC-NET Paper II Unit VIII (Multimedia Forensics), NFSU MSc Digital Forensics entrance, and FACT aspirants covering biometric system security. Allow 30 minutes.
UGC-NET Forensic Science Unit VI hard-band drill on multimedia forensics, covering close-range photogrammetry, terrestrial laser scanning, 360-degree scene capture, digital image authentication, and the Indian legal framework for expert opinion and electronic records under the Bharatiya Sakshya Adhiniyam 2023. Questions are calibrated to the one-parameter distractor standard: distractors differ from the correct answer on a single EXIF tag, one BSA section number, one scanner accuracy figure, or one photogrammetric parameter. This mock is aimed at MSc Forensic Science students preparing for UGC-NET Paper II, NFSU MSc entrance examinations, and FACT digital-forensics papers. The legal segment maps to Anvar P.V. v. P.K. Basheer (2014) 2 SCC 1 and Arjun Panditrao Khotkar v. Kailash Kushanrao Gorantyal (2020) 7 SCC 1 on electronic-record certification under Section 65B IEA 1872, now carried forward as Section 63 BSA 2023. Expert opinion admissibility under Section 45 IEA 1872, now Section 39 BSA 2023, is examined through accident-reconstruction and scene-measurement scenarios. Topics covered: - Parallax, focal-length calibration, and image-pair triangulation in close-range photogrammetry - Ground control points and their role in georeferencing photogrammetric models - Stereoscopic versus single-image photogrammetry in accident and crime-scene reconstruction - FARO Focus laser scanner, NavVis M6, and Matterport Pro2: resolution and accuracy specifications - Terrestrial LiDAR: time-of-flight principle, millimetre accuracy, and hit-and-run reconstruction - EXIF metadata fields (DateTime, GPS tags, FocalLength) and their forensic significance - Error level analysis and copy-move detection for digital image authentication - Section 39 BSA 2023 (formerly Section 45 IEA 1872) on admissibility of expert opinion - Section 63 BSA 2023 (formerly Section 65B IEA 1872) on the electronic-records certificate - Chain of custody and peer review requirements for photographic and scan evidence Allow 30 minutes.